1. A method for setting a plant growing environment is characterized by comprising the following steps:

for each growth stage of the plant, the following steps are performed:

receiving plant growth environment parameters corresponding to a plurality of preset time points, wherein the plant growth environment parameters comprise: the soil nitrogen phosphorus potassium content, the air temperature, the air humidity, the carbon dioxide concentration, the illumination intensity, the soil humidity and the plant development time;

inputting the plant growth environment parameters into a plant growth model corresponding to the growth stage to obtain plant growth information, wherein the plant growth information comprises: the plant growth model corresponding to the growth stage is obtained by fitting and analyzing historical growth environment parameters of the plant in the growth stage and historical growth information corresponding to the historical growth environment parameters;

inputting the plant growth information into a plant growth rating model corresponding to the growth stage to obtain a plant growth state comprehensive score, wherein the plant growth rating model corresponding to the growth stage is obtained based on historical growth information of the growth stage of the plant and expert score fitting analysis of the growth state corresponding to the historical growth information;

determining the optimal growth environment parameters of the plants in the growth stage according to the comprehensive scores of the plant growth states;

the method further comprises the following steps:

generating an optimal growth environment curve of the plant according to the optimal growth environment parameters of each growth stage of the plant;

and setting the growth environment parameters of the plants based on the optimal growth environment curve of the plants.

2. The method according to claim 1, wherein before inputting the plant growth environment parameters into the plant growth model corresponding to the growth stage and obtaining the plant growth information, the method further comprises:

acquiring a plurality of groups of historical growth environment parameters of the plant in the growth stage and plant growth images corresponding to the plurality of groups of historical growth environment parameters respectively;

obtaining historical growth information corresponding to the multiple groups of historical growth environment parameters according to plant growth images corresponding to the multiple groups of historical growth environment parameters respectively to obtain multiple groups of historical growth information of the plant in the growth stage;

and performing fitting analysis on a plurality of groups of historical growth environment parameters of the plant in the growth stage and historical growth information respectively corresponding to the plurality of groups of historical growth environment parameters to obtain a plant growth model corresponding to the growth stage.

3. The method according to claim 2, wherein before inputting the plant growth information into the plant growth rating model corresponding to the growth stage and obtaining the plant growth state comprehensive score, the method further comprises:

and carrying out fitting analysis on the multiple groups of historical growth information of the growth stage of the plant and expert scores of plant growth states corresponding to the multiple groups of historical growth information respectively to obtain a plant growth rating model corresponding to the growth stage.

4. The method according to claim 2 or 3, wherein the acquiring of the multiple sets of historical growing environment parameters of the growing stage of the plant and the plant growing images corresponding to the multiple sets of historical growing environment parameters respectively comprises:

and acquiring multiple groups of historical growth environment parameters of the growth stage of the plant and plant growth images corresponding to the multiple groups of historical growth environment parameters respectively according to the plant growth monitoring device.

5. A plant growth monitoring device, comprising: a shell, a plant growth groove, a base, a stepping motor, a camera, a contraction rod, a contrast rod, a soil nitrogen phosphorus potassium sensor, an air temperature and humidity sensor, a carbon dioxide concentration sensor, an illumination intensity sensor and a soil humidity sensor,

the plant growth groove and the base are arranged in the shell, and the plant growth groove and the base are connected through the stepping motor;

the camera is rotatably arranged at the top of the shell, the telescopic rod is arranged at the top of the shell, and the camera is fixed at the telescopic end of the telescopic rod;

the control rod, the soil nitrogen phosphorus potassium sensor and the soil humidity sensor are arranged inside the plant growth groove;

the air temperature and humidity sensor, the carbon dioxide concentration sensor and the illumination intensity sensor are arranged in the shell.

6. The apparatus of claim 5, further comprising: an air heater, a light-emitting diode (LED) lamp, a fan, a water pipe, a water pump, a spray header and a plurality of vent holes,

the air heater, the LED lamp and the fan are arranged in the shell;

the plurality of vent holes are arranged on the front surface of the plant growing groove.

7. The apparatus of claim 6, further comprising: a main control device protective shell, a touch screen, a power socket and a plurality of groups of rollers,

the main control device protective shell and the power socket are arranged above the top of the shell;

the touch screen is arranged above the top of the main control device protection shell;

the multiple groups of rollers are arranged at the bottom of the base.

8. A setting device of vegetation environment characterized by, includes:

the receiving module is used for receiving plant growth environment parameters corresponding to a plurality of preset time points, wherein the plant growth environment parameters comprise: the soil nitrogen phosphorus potassium content, the air temperature, the air humidity, the carbon dioxide concentration, the illumination intensity, the soil humidity and the plant development time;

the processing module is used for inputting the plant growth environment parameters into a plant growth model corresponding to the growth stage to acquire plant growth information, wherein the plant growth information comprises: the plant growth model corresponding to the growth stage is obtained by fitting and analyzing historical growth environment parameters of the plant in the growth stage and historical growth information corresponding to the historical growth environment parameters;

the processing module is further configured to input the plant growth information into a plant growth rating model corresponding to the growth stage, and obtain a plant growth state comprehensive score, where the plant growth rating model corresponding to the growth stage is obtained based on expert score fitting analysis of historical growth information of the growth stage of the plant and a growth state corresponding to the historical growth information;

the processing module is further used for determining the optimal growth environment parameters of the plants in the growth stage according to the comprehensive scores of the plant growth states;

the processing module is also used for generating an optimal growth environment curve of the plant according to the optimal growth environment parameters of each growth stage of the plant;

the processing module is further used for setting the growth environment parameters of the plants based on the optimal growth environment curve of the plants.

9. A computer device, comprising: memory, processor and computer program stored on the memory and executable on the processor, the processor implementing the steps of the method according to any one of claims 1 to 4 when executing the computer program.

10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 4.

Background

With the rapid growth of world population, the demand of food is increasing continuously, and the improvement of the yield of plants, particularly crops, is the basis for guaranteeing the social development. The growth environment of the plants is an important factor influencing the yield of the plants, and the air temperature, the illumination intensity, the soil humidity and the like in the growth environment of the plants are set according to the optimal growth environment curve of the plants, so that the growth environment of the plants plays an important role in improving the yield of the plants.

In the traditional agricultural technology, the optimal growth environment curve of the plant is generally determined according to the planting experience accumulated by agricultural workers for a long time, and the growth environment of the plant is adjusted.

However, with the prior art methods, the precision of planting and plant yield in agricultural production is affected.

Disclosure of Invention

To solve the technical problem or at least partially solve the technical problem, the present disclosure provides a method for setting a plant growth environment and a plant growth monitoring apparatus.

In a first aspect, the present disclosure provides a method for setting a plant growing environment, including:

for each growth stage of the plant, the following steps are performed:

receiving plant growth environment parameters corresponding to a plurality of preset time points, wherein the plant growth environment parameters comprise: the soil nitrogen phosphorus potassium content, the air temperature, the air humidity, the carbon dioxide concentration, the illumination intensity, the soil humidity and the plant development time;

inputting the plant growth environment parameters into a plant growth model corresponding to the growth stage to obtain plant growth information, wherein the plant growth information comprises: the plant growth model corresponding to the growth stage is obtained by fitting and analyzing historical growth environment parameters of the plant in the growth stage and historical growth information corresponding to the historical growth environment parameters;

inputting the plant growth information into a plant growth rating model corresponding to the growth stage to obtain a plant growth state comprehensive score, wherein the plant growth rating model corresponding to the growth stage is obtained based on historical growth information of the growth stage of the plant and expert score fitting analysis of the growth state corresponding to the historical growth information;

determining the optimal growth environment parameters of the plants in the growth stage according to the comprehensive scores of the plant growth states;

the method further comprises the following steps:

generating an optimal growth environment curve of the plant according to the optimal growth environment parameters of each growth stage of the plant;

and setting the growth environment parameters of the plants based on the optimal growth environment curve of the plants.

Optionally, before inputting the plant growth environment parameters into the plant growth model corresponding to the growth stage and acquiring the plant growth information, the method further includes:

acquiring a plurality of groups of historical growth environment parameters of the plant in the growth stage and plant growth images corresponding to the plurality of groups of historical growth environment parameters respectively;

obtaining historical growth information corresponding to the multiple groups of historical growth environment parameters according to plant growth images corresponding to the multiple groups of historical growth environment parameters respectively to obtain multiple groups of historical growth information of the plant in the growth stage;

and performing fitting analysis on a plurality of groups of historical growth environment parameters of the plant in the growth stage and historical growth information respectively corresponding to the plurality of groups of historical growth environment parameters to obtain a plant growth model corresponding to the growth stage.

Optionally, before inputting the plant growth information into the plant growth rating model corresponding to the growth stage and obtaining the plant growth state comprehensive score, the method further includes:

and carrying out fitting analysis on the multiple groups of historical growth information of the growth stage of the plant and expert scores of plant growth states corresponding to the multiple groups of historical growth information respectively to obtain a plant growth rating model corresponding to the growth stage.

Optionally, the obtaining multiple sets of historical growing environment parameters of the growing stage of the plant and the plant growing images corresponding to the multiple sets of historical growing environment parameters respectively includes:

and acquiring multiple groups of historical growth environment parameters of the growth stage of the plant and plant growth images corresponding to the multiple groups of historical growth environment parameters respectively according to the plant growth monitoring device.

In a second aspect, the present disclosure provides a plant growth monitoring device comprising:

a shell, a plant growth groove, a base, a stepping motor, a camera, a contraction rod, a contrast rod, a soil nitrogen phosphorus potassium sensor, an air temperature and humidity sensor, a carbon dioxide concentration sensor, an illumination intensity sensor and a soil humidity sensor,

the plant growth groove and the base are arranged in the shell, and the plant growth groove and the base are connected through the stepping motor;

the camera is rotatably arranged at the top of the shell, the telescopic rod is arranged at the top of the shell, and the camera is fixed at the telescopic end of the telescopic rod;

the control rod, the soil nitrogen phosphorus potassium sensor and the soil humidity sensor are arranged inside the plant growth groove;

the air temperature and humidity sensor, the carbon dioxide concentration sensor and the illumination intensity sensor are arranged in the shell.

Optionally, the method further includes: an air heater, a light-emitting diode (LED) lamp, a fan, a water pipe, a water pump, a spray header and a plurality of vent holes,

the air heater, the LED lamp and the fan are arranged in the shell;

the plurality of vent holes are arranged on the front surface of the plant growing groove.

Optionally, the method further includes: a main control device protective shell, a touch screen, a power socket and a plurality of groups of rollers,

the main control device protective shell and the power socket are arranged above the top of the shell;

the touch screen is arranged above the top of the main control device protection shell;

the multiple groups of rollers are arranged at the bottom of the base.

In a third aspect, the present disclosure provides a setting device for a plant growing environment, comprising:

the receiving module is used for receiving plant growth environment parameters corresponding to a plurality of preset time points, wherein the plant growth environment parameters comprise: the soil nitrogen phosphorus potassium content, the air temperature, the air humidity, the carbon dioxide concentration, the illumination intensity, the soil humidity and the plant development time;

the processing module is used for inputting the plant growth environment parameters into a plant growth model corresponding to the growth stage to acquire plant growth information, wherein the plant growth information comprises: the plant growth model corresponding to the growth stage is obtained by fitting and analyzing historical growth environment parameters of the plant in the growth stage and historical growth information corresponding to the historical growth environment parameters;

the processing module is further configured to input the plant growth information into a plant growth rating model corresponding to the growth stage, and obtain a plant growth state comprehensive score, where the plant growth rating model corresponding to the growth stage is obtained based on expert score fitting analysis of historical growth information of the growth stage of the plant and a growth state corresponding to the historical growth information;

the processing module is further used for determining the optimal growth environment parameters of the plants in the growth stage according to the comprehensive scores of the plant growth states;

the processing module is also used for generating an optimal growth environment curve of the plant according to the optimal growth environment parameters of each growth stage of the plant;

the processing module is further used for setting the growth environment parameters of the plants based on the optimal growth environment curve of the plants.

Optionally, the processing module is further configured to:

acquiring a plurality of groups of historical growth environment parameters of the plant in the growth stage and plant growth images corresponding to the plurality of groups of historical growth environment parameters respectively;

obtaining historical growth information corresponding to the multiple groups of historical growth environment parameters according to plant growth images corresponding to the multiple groups of historical growth environment parameters respectively to obtain multiple groups of historical growth information of the plant in the growth stage;

and performing fitting analysis on a plurality of groups of historical growth environment parameters of the plant in the growth stage and historical growth information respectively corresponding to the plurality of groups of historical growth environment parameters to obtain a plant growth model corresponding to the growth stage.

Optionally, the processing module is further configured to:

and carrying out fitting analysis on the multiple groups of historical growth information of the growth stage of the plant and expert scores of plant growth states corresponding to the multiple groups of historical growth information respectively to obtain a plant growth rating model corresponding to the growth stage.

Optionally, the processing module is specifically configured to:

and acquiring multiple groups of historical growth environment parameters of the growth stage of the plant and plant growth images corresponding to the multiple groups of historical growth environment parameters respectively according to the plant growth monitoring device.

In a fourth aspect, the present disclosure provides a computer device comprising: memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method of any one of the first aspect when executing the computer program.

In a fifth aspect, the present disclosure provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method of any one of the first aspects.

Compared with the prior art, the technical scheme provided by the embodiment of the disclosure has the following advantages:

determining an optimal growth environment curve of the plant according to plant growth environment parameters corresponding to a plurality of preset time points, a plant growth model corresponding to a growth stage of the plant and a plant growth rating model corresponding to the growth stage of the plant, wherein the optimal growth environment curve of the plant obtained by using the plant growth model and the plant growth rating model has higher accuracy compared with the optimal growth environment curve of the plant determined by depending on planting experience because the plant growth model and the plant growth rating model are obtained based on the historical growth environment parameters, the historical growth information and the expert rating analysis of the growth state corresponding to the historical growth information of the plant; the growth environment parameters of the plants are set based on the optimal growth environment curve of the plants, the most favorable growth environment is provided for the plants, the growth of the plants is promoted, therefore, the accurate planting of agricultural production is realized, and the yield of the plants is improved.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.

In order to more clearly illustrate the embodiments or technical solutions in the prior art of the present disclosure, the drawings used in the description of the embodiments or prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.

Fig. 1 is a schematic flow chart of an embodiment of a method for setting a plant growth environment according to the present disclosure;

FIG. 2 is a schematic flow chart diagram illustrating an embodiment of a method for setting up another plant growing environment provided by the present disclosure;

FIG. 3 is a schematic flow chart diagram illustrating another embodiment of a method for setting a plant growing environment according to the present disclosure;

fig. 4 is a left side view schematic structure diagram of a plant growth monitoring device provided by the present disclosure;

fig. 5 is a schematic front view of a plant growth monitoring device provided by the present disclosure;

fig. 6 is a schematic diagram of a right-view structure of a plant growth monitoring device provided by the present disclosure;

fig. 7 is a schematic top view of a plant growth monitoring apparatus provided by the present disclosure;

fig. 8 is a schematic structural diagram of a setting device of a plant growth environment provided by the present disclosure.

Wherein, 13-vent hole; 1-a shell; 2-plant growth grooves; 3-an air heater; 4-a carbon dioxide concentration sensor; 5-a light emitting diode LED lamp; 6-air temperature and humidity sensor; 7-a camera; 8-a fan; 9-a light intensity sensor; 10-soil azophoska sensor; 11-a soil moisture sensor; 12-a roller; 14-a water pipe; 15-a water pump; 16-a spray header; 17-a stepper motor; 18-a base; 19-control rod; 20-a power socket; 21-main control device protective housing; 22-touch screen.

Detailed Description

In order that the above objects, features and advantages of the present disclosure may be more clearly understood, aspects of the present disclosure will be further described below. It should be noted that the embodiments and features of the embodiments of the present disclosure may be combined with each other without conflict.

In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present disclosure, but the present disclosure may be practiced in other ways than those described herein; it is to be understood that the embodiments disclosed in the specification are only a few embodiments of the present disclosure, and not all embodiments.

The growth environment of the plants is an important factor influencing the yield of the plants, in the traditional agricultural cultivation mode, the optimal growth environment curve of the plants is determined according to artificial experience, the growth environment parameters of the plants are set, the accurate planting of agricultural production cannot be realized, and the yield of the plants is limited to a great extent.

The optimal plant growth environment curve obtained by the plant growth model and the plant growth rating model has higher accuracy compared with the optimal plant growth environment curve determined by depending on planting experience because the plant growth model and the plant growth rating model are obtained by expert grading analysis based on the historical growth environment parameters, the historical growth information and the growth state corresponding to the historical growth information of the plant; the growth environment parameters of the plants are set based on the optimal growth environment curve of the plants, the most favorable growth environment is provided for the plants, the growth of the plants is promoted, therefore, the accurate planting of agricultural production is realized, and the yield of the plants is improved.

The technical solutions of the present disclosure are described in several specific embodiments, and the same or similar concepts may be referred to one another, and are not described in detail in each place.

Fig. 1 is a schematic flow diagram of an embodiment of a method for setting a plant growth environment according to an embodiment of the present disclosure, and as shown in fig. 1, the method of the embodiment includes:

steps S101-S104 are performed for each growth stage of the plant.

S101: and receiving plant growth environment parameters corresponding to a plurality of preset time points.

Wherein the plant growth environmental parameters include: the soil nitrogen phosphorus potassium content, the air temperature, the air humidity, the carbon dioxide concentration, the illumination intensity, the soil humidity and the plant development time.

Alternatively, the growth process of the plant can be divided into: the method comprises the steps of a germination stage, a seedling stage, a flowering stage and a fruiting stage, wherein a plurality of time points are preset according to the duration time of each growth stage of the plant, and plant growth environment parameters corresponding to the preset time points are received. For example: a plant undergoes a total of 180 days from the germination phase, which is 10 days, the seedling phase, which is 60 days, the flowering phase, which is 50 days, and the fruiting phase, which is 60 days. For the germination stage of the plant, the predetermined time points may be: day 1, day 3, day 6, day 8 and day 10; the preset time points for the seedling stage of the plant may be: day 1, day 5, day 10, day 15, …, day 60; for the flowering stage of the plant, the predetermined plurality of time points may be: day 1, day 5, day 10, day 15, …, day 50; for the fruiting stage of the plant, the predetermined time points may be: day 1, day 5, day 10, day 15, day …, day 60.

Plant growth environment parameters include, but are not limited to, the following: the soil nitrogen phosphorus potassium content, the air temperature, the air humidity, the carbon dioxide concentration, the illumination intensity, the soil humidity and the plant development time. The plant development time is a preset time point, and the air temperature, the air humidity, the carbon dioxide concentration, the illumination intensity and the soil humidity are any numerical values in corresponding preset intervals respectively.

For example: in the germination stage of a certain plant, the preset interval of air temperature is 5-27 ℃, the preset interval of air humidity is 20-60%, the preset interval of illumination intensity is 0-1500 lux, the preset interval of carbon dioxide concentration is 300-200 ppm, the preset range of soil humidity is 10-60%, and the preset time points comprise: day 1, day 3, day 6, day 8 and day 10. Receiving plant growth environment parameters corresponding to day 1 of the germination phase: the air temperature is 5 ℃, the air humidity is 40%, the illumination intensity is 200lux, the carbon dioxide concentration is 500ppm, the soil humidity is 30%, the soil nitrogen phosphorus potassium content is 300 mg/kg, and the development time is 1; receiving plant growth environment parameters corresponding to day 3 of the seedling stage: the air temperature is 8.5 ℃, the air humidity is 32%, the illumination intensity is 620lux, the carbon dioxide concentration is 700ppm, the soil humidity is 35%, the soil nitrogen phosphorus potassium content is 300 mg/kg, and the development time is 3; … are provided.

S102: and inputting the plant growth environment parameters into a plant growth model corresponding to the growth stage to obtain plant growth information.

Wherein the plant growth information comprises: the plant growth model corresponding to the growth stage is obtained by fitting and analyzing historical growth environment parameters of the plant in the growth stage and historical growth information corresponding to the historical growth environment parameters.

The historical growth environment parameters may be obtained from the actual historical growth environment of the plant and/or the historical growth environment of the plant cultivation experiment, which is not limited by this disclosure.

Optionally, according to formula (1), the blade size is obtained.

Wherein D is the size of the blade, k₁、a₁、b₁、e₁、f₁、g₁、m₁、n₁And h₁As a coefficient, Ti is the plant development time, Te is the air temperature, Hu is the soil humidity, Li is the illumination intensity, Ca is the carbon dioxide concentration, Ht is the air humidity, and Ni is the soil nitrogen phosphorus potassium content.

And (4) acquiring the chlorophyll content according to the formula (2).

Wherein T is chlorophyll content, k₂、a₂、b₂、e₂、f₂、g₂、m₂、n₂And h₂As a coefficient, Ti is the plant development time, Te is the air temperature, Hu is the soil humidity, Li is the illumination intensity, Ca is the carbon dioxide concentration, Ht is the air humidity, and Ni is the soil nitrogen phosphorus potassium content.

And (4) acquiring the plant height according to a formula (3).

Wherein L is the plant height, a₃、b₃、c₃And d₃As a coefficient, Ti is the plant development time.

According to the formula (4), the number of blades is obtained.

Wherein S is the number of blades, a₄、b₄、c₄And d₄As a coefficient, Ti is the plant development time.

The values of the coefficients in the formulas (1), (2), (3) and (4) are determined in the process of obtaining a plant growth model corresponding to the growth stage based on the historical growth environment parameters of the growth stage of the plant and the historical growth information corresponding to the historical growth environment parameters through fitting analysis.

The values of the coefficients in equations (1), (2), (3), and (4) are different for plant growth models corresponding to different growth stages. For example: the value of the coefficient in formula (1) used for the plant growth model corresponding to the germination stage and the value of the coefficient in formula (1) used for the plant growth model corresponding to the flowering stage are different.

S103: and inputting the plant growth information into a plant growth rating model corresponding to the growth stage, and acquiring the plant growth state comprehensive score.

The plant growth rating model corresponding to the growth stage is obtained based on historical growth information of the plant in the growth stage and expert score fitting analysis of the growth state corresponding to the historical growth information of the plant.

Optionally, according to formula (6), a growth status score of leaf size is obtained.

Wherein μ (D) is the growth state score of the leaf size, D is the leaf size, min (D) is the minimum value of the leaf size in the historical growth information of the growth stage of the plant, and max (D) is the maximum value of the leaf size in the historical growth information of the growth stage of the plant. For example: for the germination stage of the plant, min (d) is the minimum value of the leaf size in the historical growth information of the germination stage of the plant, and max (d) is the maximum value of the leaf size in the historical growth information of the germination stage of the plant.

Optionally, according to formula (7), a plant height growth state score is obtained.

Wherein mu (L) is the growing state score of the plant height, L is the plant height, min (L) is the minimum value of the plant height in the historical growing information of the growing stage of the plant, and max (L) is the maximum value of the plant height in the historical growing information of the growing stage of the plant. For example: for the seedling stage of the plant, min (d) is the minimum value of the plant height in the historical growth information for the seedling stage of the plant, and max (d) is the maximum value of the plant height in the historical growth information for the seedling stage of the plant.

Optionally, according to formula (8), a growth status score of chlorophyll content is obtained.

Wherein μ (T) is a growth state score of the chlorophyll content, T is the chlorophyll content, min (T) is a minimum value of the chlorophyll content in the historical growth information of the growth stage of the plant, and max (T) is a maximum value of the chlorophyll content in the historical growth information of the growth stage of the plant. For example: for the flowering stage of the plant, min (t) is the minimum value of the chlorophyll content in the historical growth information of the flowering stage of the plant, and max (t) is the maximum value of the chlorophyll content in the historical growth information of the flowering stage of the plant.

Optionally, according to formula (9), a growth state score of the number of leaves is obtained.

Wherein μ (S) is the growth state score of the leaf number, S is the leaf number, min (S) is the minimum value of the leaf number in the historical growth information of the growth stage of the plant, and max (S) is the maximum value of the leaf number in the historical growth information of the growth stage of the plant. For example: for the fruiting stage of the plant, min(s) is the minimum value of the leaf number in the historical growth information of the fruiting stage of the plant, and max(s) is the maximum value of the leaf number in the historical growth information of the fruiting stage of the plant.

Optionally, according to formula (10), obtaining a plant growth state comprehensive score.

H＝W_Dμ(D)+W_Lμ(L)+W_Tμ(T)+W_Sμ(S) (10)

Wherein H is the plant growth state comprehensive score, W_DIs a weight coefficient for leaf size, μ (D) is a growth status score for leaf size, W_LWeight coefficient for plant height, μ (L) is the growth status score for plant height, W_TWeight coefficient for chlorophyll content, μ (T) growth status score for chlorophyll content, W_SAs a weight coefficient for the number of leaves, μ (S) is a growth state score for the number of leaves.

W in the formula (10)_D、W_L、W_TAnd W_SThe value of (a) is determined in the process of obtaining a plant growth rating model corresponding to the growth stage based on the historical growth information of the growth stage of the plant and expert score fitting analysis of the growth state corresponding to the historical growth information.

W in equation (10) for plant growth rating models corresponding to different growth stages_D、W_L、W_TAnd W_SThe value of (c) is different. For example: w in formula (10) used for plant growth rating model corresponding to germination stage_DValue of (A)W in formula (10) used for plant growth model corresponding to flowering stage_DThe value of (c) is different.

S104: and determining the optimal growth environment parameters of the plant in the growth stage according to the comprehensive scores of the plant growth state.

Optionally, returning to execute S101-S103, taking the first received plant growth environment parameters corresponding to the preset times as a first group of plant environment growth parameters, the second received plant growth environment parameters corresponding to the preset times as a second group of plant environment growth parameters, …, and the nth received plant growth environment parameters corresponding to the preset times as an nth group of plant environment growth parameters, performing comparative analysis on the plant growth state comprehensive scores corresponding to the N groups of plant environment growth parameters and the N groups of plant environment growth parameters, and determining an optimal growth environment parameter in a plant growth stage, where N is an integer greater than or equal to 2.

After performing S101-S104 for all growth stages of the plant, S105 and S106 are performed.

S105: and generating an optimal growth environment curve of the plant according to the optimal growth environment parameters of each growth stage of the plant.

Optionally, an optimal growth environment curve of the plant with time as a horizontal axis and air temperature as a vertical axis is generated according to the optimal air temperature of each growth stage of the plant. For example: the growth process of a certain plant is divided into: the germination stage, seedling stage, flowering stage and fruiting stage, which take a total of 180 days from the germination stage to the fruiting stage, the values of the abscissa coordinates of the optimal growth environment curve of the plant include days 1 to 180.

And generating an optimal growth environment curve of the plant by taking time as a horizontal axis and taking air humidity as a vertical axis according to the optimal air humidity of each growth stage of the plant.

And generating an optimal growth environment curve of the plant by taking time as a horizontal axis and soil nitrogen phosphorus potassium content as a vertical axis according to the optimal soil nitrogen phosphorus potassium content of each growth stage of the plant.

And generating an optimal growth environment curve of the plant with the horizontal axis of time and the vertical axis of carbon dioxide concentration according to the optimal carbon dioxide concentration of each growth stage of the plant.

And generating an optimal growing environment curve of the plant by taking time as a horizontal axis and taking the light intensity as a vertical axis according to the optimal light intensity of each growing stage of the plant.

And generating an optimal growth environment curve of the plant by taking time as a horizontal axis and soil humidity as a vertical axis according to the optimal soil humidity of each growth stage of the plant.

S106: and setting the growth environment parameters of the plants based on the optimal growth environment curve of the plants.

Optionally, based on the optimal growth environment curve of the plant, setting the growth environment parameters of the plant planted in the greenhouse, or setting the growth environment parameters of the hydroponic plant, and the like, so as to create an optimal growth environment for the plant.

In this embodiment, for each growth stage of a plant, receiving plant growth environment parameters corresponding to a plurality of preset time points, inputting the plant growth environment parameters into a plant growth model corresponding to the growth stage, obtaining plant growth information, where the plant growth model corresponding to the growth stage is obtained by fitting and analyzing historical growth environment parameters of the growth stage of the plant and historical growth information corresponding to the historical growth environment parameters, inputting the plant growth information into a plant growth rating model corresponding to the growth stage, obtaining a plant growth state comprehensive score, and the plant growth rating model corresponding to the growth stage is obtained by fitting and analyzing expert scores of the growth state corresponding to the historical growth information and the historical growth information of the growth stage of the plant, determining the optimal growth environment parameters of the plant growth stage according to the comprehensive scores of the plant growth state; generating an optimal growth environment curve of the plant according to the optimal growth environment parameters of each growth stage of the plant; and setting the growth environment parameters of the plants based on the optimal growth environment curve of the plants. The plant growth model and the plant growth rating model are obtained based on expert rating analysis of the historical growth environment parameters, the historical growth information and the growth state corresponding to the historical growth information of the plant, and according to the optimal growth environment curve of the plant determined by the plant growth model and the plant growth rating model, scientific and accurate guidance can be provided for setting the plant growth environment, the plant can be promoted to grow in a good environment, therefore, accurate planting of agricultural production is achieved, and the yield of the plant is improved.

Fig. 2 is a schematic flowchart of another embodiment of a method for setting a plant growth environment according to an embodiment of the present disclosure, and fig. 2 is based on the embodiment shown in fig. 1, and may further include the following steps before S102: as shown in figure 2 of the drawings, in which,

s201: and acquiring a plurality of groups of historical growth environment parameters of the growth stage of the plant and plant growth images corresponding to the plurality of groups of historical growth environment parameters respectively.

Optionally, according to the plant growth monitoring device, a plurality of sets of historical growth environment parameters of the growth stage of the plant and plant growth images corresponding to the plurality of sets of historical growth environment parameters are obtained.

Wherein, plant growth monitoring devices can be used to the plant and cultivate the experiment.

One possible implementation is:

s2011: in the process of plant cultivation experiment, through a plurality of sensors in the plant growth monitoring device, the historical growth environmental parameters of the growth stage of the plant are collected, and through the shooting equipment of the plant growth monitoring device, the plant growth image corresponding to the historical growth environmental parameters is collected.

Can be provided with soil azophoska sensor in the vegetation monitoring devices, air temperature and humidity sensor, carbon dioxide concentration sensor, illumination intensity sensor and soil humidity transducer, wherein, soil azophoska sensor is arranged in gathering the soil azophoska content among the growth environment parameter, air temperature and humidity transducer is arranged in gathering the air temperature and the air humidity among the growth environment parameter, carbon dioxide concentration sensor is arranged in gathering the carbon dioxide concentration among the growth environment parameter, illumination intensity sensor is arranged in gathering the growth environment parameter illumination intensity, soil humidity transducer is arranged in gathering the soil humidity among the growth environment parameter.

The shooting equipment in the plant growth monitoring device can be a camera and is used for collecting plant growth images corresponding to historical growth environment parameters.

S2012: and uploading the historical growth environment parameters of the growth stage of the plant and the plant growth image corresponding to the historical growth environment parameters to a server through a network connection module of the plant growth monitoring device.

The network connection module in the plant growth monitoring device can upload the collected plant growth stage historical growth environment parameters and the plant growth images corresponding to the historical growth environment parameters to the local server and/or the cloud server in real time or periodically through Wireless communication modes such as Wireless-Fidelity (Wi-Fi), Long-distance Radio (LoRa), fourth-generation mobile communication technology (4th generation, 4G), ethernet and the like.

S2013: and acquiring a plurality of groups of historical growth environment parameters of the growth stage of the plant stored by the server and plant growth images corresponding to the plurality of groups of historical growth environment parameters respectively.

The server can be a local server and/or a cloud server

S202: and acquiring historical growth information corresponding to the multiple groups of historical growth environment parameters according to the plant growth images corresponding to the multiple groups of historical growth environment parameters respectively to obtain multiple groups of historical growth information of the growth stage of the plant.

Aiming at the plant growth image corresponding to each group of historical growth environment parameters,

s2021: and obtaining the plant height through algorithms such as image segmentation, edge contour calculation, image enhancement and the like.

Optionally, a comparison rod is arranged in the plant growth monitoring device, and the height of the comparison rod in the plant growth image and the height of the plant in the plant growth image are obtained through algorithms such as image segmentation, edge contour calculation, image enhancement and the like. And (3) obtaining the plant height in the historical growth information through a formula (11) according to the height of the control rod in the plant growth image, the height of the plant in the plant growth image and the height of the control rod in the plant growth monitoring device.

Wherein, L is the plant height, and L is the height of plant in the vegetation image, and R is the height of contrast pole in the vegetation monitoring devices, and R is the height of contrast pole in the vegetation image.

S2022: and separating the leaves from the background in the plant growth image through algorithms such as filtering, graying processing, binary closed value segmentation, connected region marking and the like of the image to obtain the size and the number of the leaves.

S2023: and obtaining the mean value of the color characteristic values of each color space in the plant growth image, analyzing the correlation between the color parameters and the chlorophyll content, and establishing a regression model. And taking the color characteristic value with the highest fitting degree as an optimal model for predicting the chlorophyll content, and obtaining the chlorophyll content through visual software.

S203: and performing fitting analysis on the multiple groups of historical growth environment parameters of the growth stage of the plant and the historical growth information corresponding to the multiple groups of historical growth environment parameters respectively to obtain a plant growth model corresponding to the growth stage.

The growth rule of the leaf size, the plant height, the chlorophyll content and the leaf number of the plant follows an 'S' -shaped growth curve of 'slow-fast-slow', and conforms to the form of a logistic (logistic) regression model. According to the correlation analysis of the leaf size, the plant height, the chlorophyll content, the leaf number and the environmental parameters, adding environmental influence factors into a logistic regression model as independent variables to obtain a plant growth model corresponding to a growth stage, namely, constructing curve equation formulas (1), (2), (3) and (4) corresponding to the growth stage.

And performing nonlinear least square fitting through an nls function in an R language stats package, inputting multiple groups of historical growth environment parameters of the growth stage of the plant and historical growth information corresponding to the multiple groups of historical growth environment parameters respectively, and performing fitting division to obtain the values of coefficients in formulas (1), (2), (3) and (4) corresponding to the growth stage.

In this embodiment, before inputting plant growth environment parameters into a plant growth model corresponding to a growth stage and acquiring plant growth information, a plurality of sets of historical growth environment parameters of the growth stage of a plant and plant growth images corresponding to the plurality of sets of historical growth environment parameters are acquired; obtaining historical growth information corresponding to the multiple groups of historical growth environment parameters according to plant growth images corresponding to the multiple groups of historical growth environment parameters respectively to obtain multiple groups of historical growth information of a plant in a growth stage; and performing fitting analysis on the multiple groups of historical growth environment parameters of the growth stage of the plant and the historical growth information corresponding to the multiple groups of historical growth environment parameters respectively to obtain a plant growth model corresponding to the growth stage. Namely, the plant growth model corresponding to the growth stage is obtained according to the historical growth environment parameters of the plant growth stage and the historical growth information corresponding to the historical growth environment parameters, so that the optimal growth environment curve of the plant determined according to the plant growth model and the plant growth rating model has higher accuracy, and more scientific guidance can be provided for setting the plant growth environment, thereby realizing the intelligent decision of agricultural production and creating favorable conditions for increasing the production and income of agriculture.

Fig. 3 is a schematic flowchart of an embodiment of a method for setting a plant growth environment according to an embodiment of the present disclosure, where fig. 3 is based on the embodiment shown in fig. 2, and may further include the following steps before S103: as shown in figure 3 of the drawings,

s204: and (4) grading experts of plant growth states corresponding to the multiple groups of historical growth information and the multiple groups of historical growth information in the growth stage of the plant for fitting analysis to obtain a plant growth rating model corresponding to the growth stage.

One possible implementation is:

for each set of historical growth information for the growth stage of the plant,

s2041: according to the formula (6), the growth state score of the leaf size is obtained.

S2042: and (5) obtaining the growth state score of the plant height according to the formula (7).

S2043: according to the formula (8), the growth state score of the chlorophyll content is obtained.

S2044: and (4) acquiring the growth state score of the leaf number according to the formula (9).

S2045: and (3) setting the weight coefficient in the formula (10) by adopting an expert scoring mode according to the influence degree of the leaf size, the plant height, the chlorophyll content and the leaf number on the plant growth state, and obtaining the plant growth state comprehensive score.

Since the growth state of a plant is usually evaluated in different characterizations at different growth stages of the plant. For example: in the early stage of plant growth, the influence of the growth environment on the growth state of plants is mainly expressed as the height of the plants; in the development process, the influence of the growth environment on the growth state of the plants is mainly embodied as the size and the number of leaves; in the mature period of plant growth, the influence of the growth environment on the growth state of plants is mainly reflected by the chlorophyll content.

Setting the weight coefficient W in the formula (10) by adopting an expert scoring mode according to the influence degree of the leaf size, the plant height, the chlorophyll content and the leaf number on the growth state of the plant and aiming at the growth stage of the plant_D、W_L、W_TAnd W_SAccording to the formula (10), the plant growth state comprehensive score is obtained.

S2045: the value of the weight coefficient in formula (10) is adjusted according to the plant growth state comprehensive score and the expert score of the plant growth state.

Optionally, the expert score of the plant growth state is divided into a length potential difference, a length potential equilibrium, a length potential better and a length potential better according to the membership interval [0,0.2], (0.2,0.4], (0.4,0.6], (0.6,0.8] and (0.8,1 ].

And (3) the values of the weight coefficients in the formula (10) are adjusted for multiple times through the expert scoring of the plant growth states corresponding to the multiple groups of historical growth information and the multiple groups of historical growth information in the growth stage of the plant respectively to obtain a plant growth rating model corresponding to the growth stage.

In this embodiment, before inputting plant growth information into a plant growth rating model corresponding to a growth stage and obtaining a comprehensive rating of a plant growth state, matching analysis is performed on a plurality of sets of historical growth information of the growth stage of a plant and expert scores of the plant growth state corresponding to the plurality of sets of historical growth information, so as to obtain the plant growth rating model corresponding to the growth stage. Namely, the plant growth rating model is obtained according to the historical growth information of the plant growth stage and the expert of the plant growth state corresponding to the historical growth information, so that the optimal growth environment curve of the plant determined according to the plant growth model and the plant growth rating model has higher accuracy, and more scientific guidance can be provided for the setting of the plant growth environment, thereby realizing the intelligent decision of agricultural production and creating favorable conditions for the production and income increase of agriculture.

Optionally, S204 may also be executed before S102 and after S203, which is not limited by the present disclosure.

Referring to fig. 5, an embodiment of the present disclosure provides a plant growth monitoring device, including: the device comprises a shell 1, a plant growth groove 2, a base 18, a stepping motor 17, a camera 7, a contraction rod (not shown), a comparison rod 19, a soil nitrogen phosphorus potassium sensor 10, an air temperature and humidity sensor 6, a carbon dioxide concentration sensor 4, an illumination intensity sensor 9 and a soil humidity sensor 11.

The plant growth trough 2 and the base 18 are arranged inside the shell 1, and the plant growth trough 2 and the base 18 are connected through a stepping motor 17; the camera 7 is rotatably arranged at the top of the shell 1, the telescopic rod is arranged at the top of the shell 1, and the camera 7 is fixed at the telescopic end of the telescopic rod; the contrast rod 19, the soil nitrogen phosphorus potassium sensor 10 and the soil humidity sensor 11 are arranged inside the plant growth tank 2; the air temperature and humidity sensor 6, the carbon dioxide concentration sensor 4 and the illumination intensity sensor 9 are disposed inside the casing 1.

The stepping motor 17 is used for driving the plant growth trough 2 to rotate, so that the plants in the plant growth trough 2 can uniformly receive light conveniently.

The camera 7 is used for collecting the internal images of the plant growth tank 2, the telescopic rod can adjust the vertical height and the angle of the camera 7, the shooting range of the camera 7 is enlarged, and the camera 7 can collect plant growth images in the plant growth tank 2 from different heights and angles.

Through step motor 17 drive vegetation groove 2 and rotate, utilize the telescopic link to adjust the height and the angle of camera 7 simultaneously for camera 7 can carry out omnidirectional shooting to vegetation inslot 2 plants, and the positive vegetation image of camera collection of being convenient for, and then, according to vegetation image, obtains accurate vegetation information.

And the control rod 19 is used for acquiring the plant height in the plant growth information according to the height of the control rod and the plant height in the plant growth image.

And the illumination intensity sensor 9 is used for measuring the illumination intensity in the shell 1.

And the soil nitrogen-phosphorus-potassium sensor 10 is used for measuring the nitrogen, phosphorus and potassium contents of the soil in the plant growth tank 2.

And a soil moisture sensor 11 for measuring the moisture content of the soil in the plant growth tank 2.

And an air temperature and humidity sensor 6 for measuring the temperature and humidity of the air in the housing 1.

The carbon dioxide concentration sensor 4 may be disposed above the inside of the housing 1, and measures the concentration of carbon dioxide in the air in the housing 1.

The vegetation monitoring device that this embodiment provided, through the rotation of vegetation groove, the regulation of the height and the angle of camera, obtain the vegetation image of each growth stage of plant, and gather vegetation environmental parameter through soil nitrogen phosphorus potassium sensor, air temperature and humidity sensor, carbon dioxide concentration sensor, illumination intensity sensor and soil humidity transducer to, realized the monitoring to the vegetation environment, improved the accuracy of vegetation information.

Optionally, the casing 1 is made of glass, so that the plant growth state in the plant growth grooves 2 inside the casing 1 can be observed conveniently.

Optionally, referring to fig. 4 and 5, the plant growth monitoring device provided in this embodiment further includes: an air heater 3, a Light-Emitting Diode (LED) lamp 5, a fan 8, a water pipe 14, a water pump 15, a shower head 16, and a plurality of vent holes 13.

The air heater 3, the LED lamp 5, and the fan 8 are disposed inside the casing, and the plurality of vent holes 13 are disposed on the front surface of the plant growth tank 2.

The air heater 3 may be disposed above the inside of the casing 1, and is configured to heat the air in the casing 1.

The LED lamp 5 can be arranged above the inside of the shell 1, can be composed of a red LED lamp, a blue LED lamp and a white LED lamp, and is used for adjusting the illumination intensity in the shell 1.

And a fan 8, which may be provided at the inner rear side of the case 1, for accelerating the discharge of air inside the case 1.

A water pipe 14, a water pump 15 and a spray header 16 for adjusting the soil humidity in the vegetation tank 2. A water pipe 14 and a water pump 15 may be disposed below the light sensor 9, and spray headers 16 are uniformly disposed below the water pipe 14 to ensure that water can be uniformly sprayed into the plant-growing grooves 2.

The front surface of the plant growth tank may be provided with a plurality of vent holes 13 to facilitate the flow of external air.

Alternatively, the air temperature and humidity sensor 6 may be disposed at the right side of the LED lamp 5, and the illumination sensor 9 may be disposed below the fan 8.

The plant growth monitoring devices that this embodiment provided adjusts plant growth environmental parameter through air heater, LED lamp, fan, water pipe, water pump, shower head and air vent to, create good growing environment for the plant.

Optionally, referring to fig. 6 and 7, the plant growth monitoring device provided in this embodiment further includes: the main control device comprises a main control device protective shell 21, a touch screen 22, a power socket 20 and a plurality of groups of rollers 12.

The main control device protection shell 21 and the power socket 20 are arranged above the top of the casing 1, the touch screen 22 is arranged above the top of the main control device protection shell 21, and the plurality of groups of rollers 12 are arranged at the bottom of the base 18.

The main control device protecting shell 21 is configured to protect the electronic device inside the housing 1 and prevent the electronic device inside the housing 1 from being exposed to the air.

And the touch screen 22 is used for operating and monitoring the plant growth monitoring device, for example, setting a minimum air temperature threshold, a maximum air temperature threshold, a target air temperature threshold, an air humidity threshold, a carbon dioxide concentration threshold, a soil humidity threshold, a target soil humidity threshold, an illumination intensity threshold and the like of plant growth.

And the power socket 20 is used for providing power for the plant growth monitoring device.

At the bottom of the base 18, 4 sets of rollers 12 may be provided, which facilitate the removal of the base 18 from the housing 1 by sliding the rollers 12, and facilitate the cleaning and maintenance of the vegetation trough 2.

Optionally, the plant growth monitoring device provided by this embodiment further includes: network connection modules, for example: and a wireless transmission module. Plant growth monitoring devices passes through network connection module and internet communication connection, adopts wireless communication modes such as Wi-Fi, loRa, 4G and ethernet, uploads the vegetation image that vegetation environmental parameter and vegetation environmental parameter correspond that gathers to the server. The plant growth environment parameters uploaded to the server by the plant growth monitoring device and the plant growth images corresponding to the plant growth environment parameters can be the plant growth environment parameters and the plant growth images collected at the current moment, and can also be multiple groups of plant growth environment parameters and plant growth images corresponding to multiple plant growth environment parameters collected in a preset time period.

Optionally, the network connection module further supports a combination of multiple communication modes, for example: and wireless communication modes such as Wi-Fi, LoRa and 4G. The plant growth monitoring devices are in communication connection through the network connection module, and data synchronization and comparative analysis of plant growth environment parameters are achieved. For example: aiming at the conditions that the experimental scale is small, the number of the plant growth monitoring devices is small, and the distribution positions are concentrated, Wi-Fi can be adopted to realize the communication among the plurality of plant growth monitoring devices; for the conditions that the experimental scale is large, the number of the plant growth monitoring devices is large, the distribution positions of the plant growth monitoring devices which are grouped in different modes are scattered, communication among the plant growth monitoring devices is achieved in a mode of combining multiple wireless communication modes, Wi-Fi is adopted for communication among the plant growth monitoring devices in the same group, and communication among the plant growth monitoring devices in different groups is achieved through 4G, LoRa and the like.

Optionally, the plant growth monitoring device provided by this embodiment further includes: and a controller.

The controller is used for judging whether the current air temperature is lower than a preset minimum air temperature threshold value or not, and if the current air temperature is lower than the preset minimum air temperature threshold value, the air heater 3 is started to heat the air in the shell 1, so that the air temperature is increased to the preset target air temperature threshold value.

The controller is also used for judging whether the current air temperature is higher than a preset maximum air temperature threshold value or not, if the current air temperature is higher than the preset maximum air temperature threshold value, the water pump 15 is controlled to be started, a small amount of water is pumped out, the water is sprayed into the air in a fine mist mode through the spray header 16, the fan 8 is started to accelerate the air flow, and heat in the air is taken away through evaporation of the water.

The controller is also used for judging whether the current air humidity is lower than a preset air humidity threshold value or not, and if the current air humidity is lower than the preset air humidity threshold value, the controller controls the water pump 15 to be started and pumps out a proper amount of water to be sprayed into the air through the spray header 16, so that the humidity in the air is improved; if the current air humidity is higher than the preset air humidity threshold value, the fan 8 is started to accelerate the evaporation of the moisture in the air.

The controller is also used for judging whether the current soil humidity is lower than a preset soil humidity threshold value or not, and if the current soil humidity is lower than the preset soil humidity threshold value, the controller controls the water pump 15 to be started and pump out a proper amount of water to be uniformly sprayed into the soil in the plant growth grooves 2 through the spray header 16, so that the soil humidity is improved to the preset target soil humidity threshold value.

The controller is also used for judging whether the concentration of the carbon dioxide in the current air is higher than a preset carbon dioxide concentration threshold value or not, and if the concentration of the carbon dioxide in the current air is higher than the preset carbon dioxide concentration threshold value, the fan 8 is started to accelerate the air flow so as to reduce the concentration of the carbon dioxide.

The controller is further configured to determine whether the current illumination intensity is lower than a preset illumination intensity threshold, and if the current illumination intensity is lower than the preset illumination intensity threshold, start the LED lamp 5 to enhance the ambient illumination intensity. The controller can use Pulse Width Modulation (PWM) to control the LED lamp 5, and can individually control the LED lamp of each color, so as to meet the requirements of different spectra in the growth process of different plants.

Fig. 8 is a schematic structural diagram of a setting apparatus for a plant growing environment according to the present disclosure, in which the apparatus of the present embodiment includes: a receiving module 801 and a processing module 802.

The receiving module 801 is configured to receive plant growth environment parameters corresponding to a plurality of preset time points, where the plant growth environment parameters include: the soil nitrogen phosphorus potassium content, the air temperature, the air humidity, the carbon dioxide concentration, the illumination intensity, the soil humidity and the plant development time.

The processing module 802 is configured to input plant growth environment parameters into a plant growth model corresponding to a growth stage, and acquire plant growth information, where the plant growth information includes: the plant growth model corresponding to the growth stage is obtained by fitting and analyzing historical growth environment parameters of the plant in the growth stage and historical growth information corresponding to the historical growth environment parameters.

The processing module 802 is further configured to input plant growth information into a plant growth rating model corresponding to the growth stage, and obtain a comprehensive plant growth state score, where the plant growth rating model corresponding to the growth stage is obtained based on expert score fitting analysis of historical growth information of the growth stage of the plant and a growth state corresponding to the historical growth information.

The processing module 802 is further configured to determine an optimal growth environment parameter of the plant in the growth stage according to the plant growth state comprehensive score.

The processing module 802 is further configured to generate an optimal growth environment curve of the plant according to the optimal growth environment parameter of each growth stage of the plant.

The processing module 802 is further configured to set a growing environment parameter of the plant based on the optimal growing environment curve of the plant.

Optionally, the processing module 802 is further configured to:

acquiring a plurality of groups of historical growth environment parameters of a plant in a growth stage and plant growth images corresponding to the plurality of groups of historical growth environment parameters respectively;

obtaining historical growth information corresponding to the multiple groups of historical growth environment parameters according to plant growth images corresponding to the multiple groups of historical growth environment parameters respectively to obtain multiple groups of historical growth information of a plant in a growth stage;

and performing fitting analysis on the multiple groups of historical growth environment parameters of the growth stage of the plant and the historical growth information corresponding to the multiple groups of historical growth environment parameters respectively to obtain a plant growth model corresponding to the growth stage.

Optionally, the processing module 802 is further configured to:

and (4) grading experts of plant growth states corresponding to the multiple groups of historical growth information and the multiple groups of historical growth information in the growth stage of the plant for fitting analysis to obtain a plant growth rating model corresponding to the growth stage.

Optionally, the processing module 802 is specifically configured to:

according to the plant growth monitoring device, a plurality of groups of historical growth environment parameters of the growth stage of the plant and plant growth images corresponding to the plurality of groups of historical growth environment parameters are obtained.

The apparatus of this embodiment may be used to implement the technical solution of any one of the method embodiments shown in fig. 1 to fig. 3, and the implementation principle and the technical effect are similar, which are not described herein again.

The disclosed embodiment provides a computer device, including: the memory, the processor, and the computer program stored in the memory and capable of running on the processor, where the processor executes the computer program to implement the technical solution of any one of the method embodiments shown in fig. 1 to 3, and the implementation principle and the technical effect are similar, and are not described herein again.

The present disclosure also provides a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the solution of the method embodiment shown in any one of fig. 1 to 3.

It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

The foregoing are merely exemplary embodiments of the present disclosure, which enable those skilled in the art to understand or practice the present disclosure. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the disclosure. Thus, the present disclosure is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.