Crop growth control method and system for planting greenhouse

Abstract

The invention relates to the technical field of greenhouse planting, in particular to a crop growth control method and system for a planting greenhouse. A crop growth control method for a planting greenhouse comprises the following steps: S1, acquiring historical weather information outside the greenhouse, and establishing a weather change prediction model; s2, acquiring weather information outside the greenhouse, and inputting the weather information into the weather change prediction model to obtain weather change conditions outside the greenhouse; s3, obtaining material information of the glass greenhouse, and obtaining an in-greenhouse factor change trend according to the weather change condition outside the greenhouse; and S4, adjusting the factors in the greenhouse according to the change trend of the factors in the greenhouse. Through the historical weather information outside the greenhouse, the weather prediction model is established and the greenhouse material information is combined, so that the change trend of the environment in the greenhouse can be accurately grasped; dynamic adjustment is carried out according to crop growth requirements, a suitable growth environment is provided for crops, and the yield and quality are improved; a watering system and a ventilation system are adopted for temperature control, and the environment stability is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of greenhouse planting, and in particular to a crop growth control method and system in a planting greenhouse. Background Art

[0002] As an efficient agricultural production method, glass greenhouses can provide a relatively stable growth environment for crops. However, glass greenhouses are greatly affected by external weather changes, which brings many unstable factors to the growth of crops. Traditional greenhouse management methods mainly rely on manual experience for regulation, and there are the following problems:

[0003] On the one hand, changes in the weather outside the greenhouse will directly affect changes in factors inside the greenhouse, resulting in delayed response when dealing with severe weather or emergencies, affecting crop growth.

[0004] On the other hand, the material properties of glass greenhouses will change over time, and traditional management methods often lack the ability to accurately adjust the greenhouse environment based on the specific conditions of the greenhouse materials, making it difficult for the crop growth environment to reach the optimal state.

[0005] Therefore, there is an urgent need to develop a crop growth control method and system for growing greenhouses. Summary of the invention

[0006] In order to overcome the shortcoming of lacking the ability to accurately adjust the greenhouse environment according to the specific conditions of the greenhouse materials, the present invention provides a crop growth control method and system for a planting greenhouse.

[0007] The technical solution is: a method for controlling crop growth in a greenhouse, comprising the following steps:

[0008] S1: Obtain historical weather information outside the greenhouse and establish a weather change prediction model;

[0009] S2: Obtain weather information outside the greenhouse and input it into the weather change prediction model to obtain weather change conditions outside the greenhouse;

[0010] S3: Obtaining the material information of the glass greenhouse, and obtaining the changing trend of factors inside the greenhouse according to the weather changes outside the greenhouse;

[0011] S4: adjusting the factors in the greenhouse according to the changing trends of the factors in the greenhouse.

[0012] Preferably, the step of obtaining historical weather information outside the greenhouse and establishing a weather change prediction model in S1 includes:

[0013] S11: Obtain historical weather information outside the greenhouse, the weather information including time, weather conditions, temperature outside the greenhouse and solar radiation intensity;

[0014] S12: performing preprocessing operations of filling missing values ​​and removing outliers on the collected data, extracting relevant features, and correlating the features with the temperature change outside the greenhouse and the solar radiation intensity features according to the time features and weather condition features;

[0015] S13: dividing the associated feature data into a training set, a test set, and a validation set, and inputting the training set and the test set into the LSTM model for training;

[0016] S14: Use the validation set to evaluate the accuracy of the model, and optimize and adjust the parameters in the model based on the results to obtain a weather change prediction model.

[0017] Preferably, the step of obtaining weather information outside the greenhouse in S2 and inputting it into the weather change prediction model to obtain weather change conditions outside the greenhouse includes:

[0018] Acquire current weather information outside the greenhouse, extract features from the weather information and input them into the temperature change prediction model outside the greenhouse, and output temperature changes and solar radiation intensity changes;

[0019] If the temperature outside the greenhouse is greater than the preset temperature threshold or the solar radiation intensity is greater than the preset radiation intensity threshold, the start time and end time of the temperature change and the solar radiation intensity change are obtained, and then the high temperature and high radiation duration are obtained.

[0020] Preferably, the step of acquiring the glass greenhouse material information in S3 and obtaining the change trend of factors inside the greenhouse according to the weather change outside the greenhouse includes:

[0021] The material information of the glass greenhouse includes the age of the glass greenhouse, the initial light transmittance and initial thermal conductivity of the glass, and the area and volume of the glass greenhouse;

[0022] According to the glass greenhouse material information, the actual light transmittance and actual thermal conductivity of the glass greenhouse are obtained;

[0023] According to the actual light transmittance of the greenhouse and the change in solar radiation intensity, the formula is:

[0024] I inside =S×I sun ×cosθ;

[0025] The actual light intensity variation trend in the shed is obtained, where I inside is the actual light intensity, S is the actual light transmittance, I sun is the solar radiation intensity, θ is the solar radiation angle;

[0026] According to the change of solar radiation intensity, the area of ​​the glass greenhouse and the actual heat transfer coefficient, the formula is:

[0027]

[0028] The temperature variation trend in the greenhouse is obtained, where T in is the temperature inside the shed, is the integration factor, k is the actual heat transfer coefficient, A is the area of ​​the glass greenhouse, ρ is the air density in the greenhouse, V is the volume of the glass greenhouse, c is the specific heat capacity of the air in the greenhouse, I sun is the solar radiation intensity, S is the actual transmittance, t cx is the duration, T out is the temperature outside the greenhouse, Z is the adjustment constant;

[0029] By combining the actual light intensity change trend and temperature change trend, the change trend of the factors in the greenhouse is obtained.

[0030] Preferably, obtaining the actual light transmittance of the glass greenhouse according to the glass greenhouse material information includes:

[0031] Obtain the shadow image of the marker in the studio and put it into the trained shadow recognition model;

[0032] The shadow image is cropped according to a certain ratio to obtain the total number of pixels in the image;

[0033] The average gray value of all pixels in the shadow image is calculated to represent the gray value of the shadow image. According to the relationship between the transmittance and the gray value of the shadow image, the shadow image of the marker in the glass greenhouse during installation is compared to obtain the actual transmittance.

[0034] Preferably, obtaining the actual thermal conductivity coefficient of the glass greenhouse according to the glass greenhouse material information includes:

[0035] According to the age information of the glass greenhouse and the initial thermal conductivity coefficient, the formula is:

[0036]

[0037] The actual thermal conductivity is obtained, where k is the actual thermal conductivity, k0 is the initial thermal conductivity, α is the age coefficient, t is the service life, and t0 is the rated life.

[0038] Preferably, the step of adjusting the temperature in the greenhouse according to the change trend of the factors in the greenhouse in S4 includes:

[0039] Obtain the historical growth curve and sowing time of crops in the greenhouse, and obtain the current growth stage of crops in the greenhouse and the corresponding factor requirements;

[0040] According to the actual light intensity change trend, compare the light intensity requirements of crops in the greenhouse;

[0041] If the actual light intensity variation trend is greater than the light intensity requirement of the crops in the greenhouse, shading treatment is performed;

[0042] If the actual light intensity change trend is less than the light intensity requirement of the crops in the greenhouse, a fill light is used to dynamically fill light the crops in the greenhouse, the dynamic fill light value is the difference between the light intensity requirement and the actual light intensity change trend, and the fill light time is the duration of high radiation;

[0043] According to the temperature change trend, when the temperature in the greenhouse is greater than the temperature requirement of the crops in the greenhouse, the cooling system is controlled to adjust the temperature in the greenhouse;

[0044] The cooling system is a sprinkler system and a ventilation system.

[0045] Preferably, the sprinkler system comprises:

[0046] Acquire the humidity in the greenhouse. When the humidity in the greenhouse is less than the maximum humidity requirement of the crops in the greenhouse, input the humidity and temperature in the greenhouse into the sprinkler system control model, output the watering amount and watering time of the sprinkler system, and obtain the watering rate through the watering amount and the watering time. The sprinkler system control model is a fuzzy logic reasoning model.

[0047] When the humidity in the greenhouse is greater than or equal to the maximum humidity requirement of the crops in the greenhouse or the sprinkler system is turned on, the temperature in the greenhouse changes. If the temperature in the greenhouse shows an upward trend or the stable temperature value in the greenhouse is greater than the temperature requirement of the crops in the greenhouse, the ventilation system is turned on.

[0048] Preferably, the ventilation system comprises:

[0049] According to the temperature change trend, through the formula:

[0050]

[0051] The ventilation volume of the ventilation system is obtained, where Q vent is the ventilation volume, T in is the temperature in the greenhouse, ρ is the air density in the greenhouse, V is the volume of the glass greenhouse, c is the specific heat capacity of the air in the greenhouse, β is the evaporation ratio of water, m s is the watering rate, L s is the latent heat of evaporation of water, T out is the temperature outside the shed, and η is the ventilation efficiency.

[0052] A crop growth control system for a greenhouse, comprising:

[0053] Data acquisition module: used to obtain relevant data inside and outside the shed;

[0054] Data preprocessing module: used to preprocess data, extract relevant features, and perform association;

[0055] Model building module: used to build weather change prediction model;

[0056] Characteristic analysis module: used to analyze the glass greenhouse to obtain the actual light transmittance and actual thermal conductivity;

[0057] Greenhouse factor change trend analysis module: Based on the output of the weather change prediction model and the actual characteristics of the glass greenhouse, the change trend of the greenhouse factors is obtained;

[0058] Crop demand analysis module: used to analyze the historical growth curve and sowing time of crops in the greenhouse, and obtain the current growth stage of crops in the greenhouse and the corresponding factor demand;

[0059] Sprinkler system control module: controls the temperature of crops in the greenhouse according to the amount and time of watering;

[0060] Ventilation system control module: controls the cooling of crops in the greenhouse according to the ventilation volume.

[0061] Beneficial effects: The present invention establishes a prediction model by acquiring historical weather information outside the greenhouse, predicts weather changes outside the greenhouse, analyzes the changing trends of factors inside the greenhouse in combination with the glass greenhouse material information and weather changes outside the greenhouse, and uses a cooling system to adjust the greenhouse environment based on the changing trends of factors inside the greenhouse and the crop information inside the greenhouse. By precisely controlling the greenhouse environment, the needs of crops at different growth stages are met, crop growth and development are promoted, and crop yield and quality are improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 It is a schematic flow chart of a method for controlling crop growth in a greenhouse according to the present invention;

[0063] Figure 2 The present invention is a structural schematic diagram of a crop growth control system for a planting greenhouse. DETAILED DESCRIPTION

[0064] In order to make the purpose, technical scheme and advantages of the present invention clearer, the present invention is further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings. It should be understood that these descriptions are only exemplary and are not intended to limit the scope of the present invention. In addition, in the following description, the description of well-known structures and technologies is omitted to avoid unnecessary confusion of the concept of the present invention.

[0065] Embodiment 1: A method for controlling crop growth in a greenhouse, such as Figure 1 As shown, the following steps are included:

[0066] S1: Obtain historical weather information outside the greenhouse and establish a weather change prediction model;

[0067] S11: Obtain historical weather information outside the greenhouse, the weather information including time, weather conditions, temperature outside the greenhouse and solar radiation intensity;

[0068] S12: performing preprocessing operations of filling missing values ​​and removing outliers on the collected data, extracting relevant features, and correlating the features with the temperature change outside the greenhouse and the solar radiation intensity features according to the time features and weather condition features;

[0069] S13: dividing the associated feature data into a training set, a test set, and a validation set, and inputting the training set and the test set into the LSTM model for training;

[0070] S14: Use the validation set to evaluate the accuracy of the model, and optimize and adjust the parameters in the model based on the results to obtain a weather change prediction model.

[0071] It should be noted that the LSTM model can make full use of the preprocessed historical weather information outside the greenhouse; by obtaining multi-dimensional data including time, weather conditions, temperature outside the greenhouse and solar radiation intensity, it can more comprehensively reflect the various factors of weather changes; the preprocessing operations of filling missing values ​​and removing outliers ensure the accuracy and reliability of the data, and provide high-quality input for model training; at the same time, according to the time characteristics and weather condition characteristics and the correlation with the temperature changes outside the greenhouse and the solar radiation intensity characteristics, it can explore the potential relationship between different factors, so that the model can better understand the laws of weather changes.

[0072] S2: Obtain weather information outside the greenhouse and input it into the weather change prediction model to obtain weather change conditions outside the greenhouse;

[0073] Acquire current weather information outside the greenhouse, extract features from the weather information and input them into the temperature change prediction model outside the greenhouse, and output temperature changes and solar radiation intensity changes;

[0074] If the temperature outside the greenhouse is greater than the preset temperature threshold or the solar radiation intensity is greater than the preset radiation intensity threshold, the start time and end time of the temperature change and the solar radiation intensity change are obtained, and then the high temperature and high radiation duration are obtained.

[0075] It should be noted that by extracting the features of the current weather information outside the greenhouse and inputting them into the weather change prediction model, the temperature change and solar radiation intensity change can be accurately output. By judging the temperature change value and solar radiation intensity change value, the duration of the action can be obtained, which allows relevant personnel to understand the development trend of the weather outside the greenhouse in advance and buy precious time to take corresponding measures. For example, in the agricultural field, relevant response facilities can be arranged in advance according to the prediction results to protect crops from damage caused by high temperature and strong radiation.

[0076] S3: Obtaining the material information of the glass greenhouse, and obtaining the changing trend of factors inside the greenhouse according to the weather changes outside the greenhouse;

[0077] The material information of the glass greenhouse includes the age of the glass greenhouse, the initial light transmittance and initial thermal conductivity of the glass, and the area and volume of the glass greenhouse;

[0078] According to the material information of the glass greenhouse, the actual light transmittance and the actual thermal conductivity coefficient of the glass greenhouse are obtained;

[0079] According to the actual light transmittance of the greenhouse and the change in solar radiation intensity, the formula is:

[0080] I inside =S×I sun ×cosθ;

[0081] The actual light intensity variation trend in the shed is obtained, where I inside is the actual light intensity, S is the actual light transmittance, I sun is the solar radiation intensity, θ is the solar radiation angle;

[0082] According to the change of solar radiation intensity, the area of ​​the glass greenhouse and the actual heat transfer coefficient, the formula is:

[0083]

[0084] The temperature variation trend in the greenhouse is obtained, where T in is the temperature inside the shed, is the integration factor, k is the actual heat transfer coefficient, A is the area of ​​the glass greenhouse, ρ is the air density in the greenhouse, V is the volume of the glass greenhouse, c is the specific heat capacity of the air in the greenhouse, I sun is the solar radiation intensity, S is the actual transmittance, t cx is the duration, T out is the temperature outside the greenhouse, Z is the adjustment constant;

[0085] By combining the actual light intensity change trend and temperature change trend, the change trend of the factors in the greenhouse is obtained.

[0086] It should be noted that the predicted temperature outside the greenhouse and the solar radiation intensity are calculated according to the time relationship through the above formula, and then the light intensity and temperature inside the greenhouse are obtained. The light intensity and temperature inside the greenhouse are mapped to generate a curve according to the time relationship, and the corresponding trend of light intensity change and temperature change in the greenhouse are obtained.

[0087] The actual light transmittance of the glass greenhouse is obtained according to the glass greenhouse material information, including:

[0088] Obtain the shadow image of the marker in the studio and put it into the trained shadow recognition model;

[0089] The shadow image is cropped according to a certain ratio to obtain the total number of pixels in the image;

[0090] The average gray value of all pixels in the shadow image is calculated to represent the gray value of the shadow image. According to the relationship between the transmittance and the gray value of the shadow image, the shadow image of the marker in the glass greenhouse during installation is compared to obtain the actual transmittance.

[0091] It should be noted that this step is based on the fact that the shadow of the marker will have different performances under different transmittances; first, obtain the shadow image of the marker in the glass greenhouse, the marker is an object of a specific shape or color; then, crop the shadow image according to a certain ratio to remove unnecessary edge parts or interference factors, and then obtain the total number of pixels in the cropped image; then, calculate the average grayscale value of all pixels in the shadow image, and this average grayscale value represents the grayscale value of the shadow image; finally, according to the relationship between transmittance and the grayscale value of the shadow image, compare the shadow image of the marker in the greenhouse when the glass greenhouse is installed, and determine the actual transmittance of the glass greenhouse by analyzing the change in the grayscale value of the current shadow image and the shadow image in the initial state. This step does not require direct contact with the glass greenhouse material, will not cause any damage to the greenhouse structure, and will not affect the normal production activities in the greenhouse. At the same time, relevant personnel can also consider whether the glass needs to be cleaned or replaced according to the change in actual transmittance.

[0092] The actual heat transfer coefficient of the glass greenhouse is obtained according to the glass greenhouse material information, including:

[0093] According to the age information of the glass greenhouse and the initial thermal conductivity coefficient, the formula is:

[0094]

[0095] The actual thermal conductivity is obtained, where k is the actual thermal conductivity, k0 is the initial thermal conductivity, α is the age coefficient, t is the service life, and t0 is the rated life.

[0096] It should be noted that as the glass greenhouse ages, the material may age and wear out, thus affecting the thermal conductivity. This step can accurately reflect the change in the thermal conductivity of the glass greenhouse during use by introducing age information and age coefficient, and fully considers the impact of aging on thermal conductivity. Based on the calculated actual thermal conductivity, the temperature change trend in the greenhouse can be more accurately predicted.

[0097] S4: adjusting the factors in the greenhouse according to the changing trends of the factors in the greenhouse.

[0098] Obtain the historical growth curve and sowing time of crops in the greenhouse, and obtain the current growth stage of crops in the greenhouse and the corresponding factor requirements;

[0099] According to the actual light intensity change trend, compare the light intensity requirements of crops in the greenhouse;

[0100] If the actual light intensity variation trend is greater than the light intensity requirement of the crops in the greenhouse, shading treatment is performed;

[0101] If the actual light intensity change trend is less than the light intensity requirement of the crops in the greenhouse, a fill light is used to dynamically fill light the crops in the greenhouse, the dynamic fill light value is the difference between the light intensity requirement and the actual light intensity change trend, and the fill light time is the duration of high radiation;

[0102] According to the temperature change trend, when the temperature in the greenhouse is greater than the temperature requirement of the crops in the greenhouse, the cooling system is controlled to adjust the temperature in the greenhouse;

[0103] The cooling system is a sprinkler system and a ventilation system.

[0104] It should be noted that this step determines the needs of the crop at the current growth stage by analyzing the historical growth curve and sowing time, and then combines the actual light intensity and temperature change trend to make targeted adjustments to the actual light intensity change trend calculated, and compares it with the light intensity demand of the crops in the greenhouse; if the actual light intensity change trend is greater than the light intensity demand of the crops in the greenhouse, it means that the light is too strong, and shading treatment is performed at this time, such as unfolding shading nets and other measures to reduce the light intensity entering the greenhouse; if the actual light intensity change trend is less than the light intensity demand of the crops in the greenhouse, the fill light is used to dynamically fill the light for the crops in the greenhouse, and the dynamic fill light value is the difference between the light intensity demand and the actual light intensity change trend, and the fill light time is the high radiation duration, so that the crops can be ensured to get enough supplementary light when the light is insufficient; at the same time, according to the temperature change trend, when the temperature in the greenhouse is greater than the temperature demand of the crops in the greenhouse, the cooling system is controlled to adjust the temperature in the greenhouse. This method can be accurately regulated according to the specific needs of the crops in the greenhouse and the actual environmental change trend, ensuring that the crops are always in a suitable growth environment.

[0105] The sprinkler system comprises:

[0106] Acquire the humidity in the greenhouse. When the humidity in the greenhouse is less than the maximum humidity requirement of the crops in the greenhouse, input the humidity and temperature in the greenhouse into the sprinkler system control model, output the watering amount and watering time of the sprinkler system, and obtain the watering rate through the watering amount and the watering time. The sprinkler system control model is a fuzzy logic reasoning model.

[0107] When the humidity in the greenhouse is greater than or equal to the maximum humidity requirement of the crops in the greenhouse or the sprinkler system is turned on, the temperature in the greenhouse changes. If the temperature in the greenhouse shows an upward trend or the stable temperature value in the greenhouse is greater than the temperature requirement of the crops in the greenhouse, the ventilation system is turned on.

[0108] It should be noted that in the agricultural greenhouse environment, the humidity and temperature in the greenhouse often have certain uncertainties and fluctuations, and the fuzzy logic reasoning model can handle this uncertainty well. By continuously measuring the humidity in the greenhouse, when the humidity in the greenhouse is less than the maximum humidity requirement of the crops in the greenhouse, the humidity and temperature in the greenhouse are passed as input parameters to the sprinkler system control model established based on the fuzzy logic reasoning model, and the sprinkler system's sprinkler volume and sprinkler time are output after reasoning and calculation; of course, considering the demand of the crops in the greenhouse for the humidity in the greenhouse, it is necessary to ensure that the crops in the greenhouse are in an environment with suitable humidity. If the humidity in the greenhouse is greater than or equal to the maximum humidity requirement of the crops in the greenhouse, or after the sprinkler system is turned on, the temperature changes in the greenhouse are continuously monitored. If it is found that the temperature in the greenhouse is on an upward trend or the stable temperature value in the greenhouse is greater than the temperature requirement of the crops in the greenhouse, the ventilation system is turned on at this time to adjust the temperature and humidity environment in the greenhouse.

[0109] The ventilation system comprises:

[0110] According to the temperature change trend, through the formula:

[0111]

[0112] The ventilation volume of the ventilation system is obtained, where Q vent is the ventilation volume, T in is the temperature in the greenhouse, ρ is the air density in the greenhouse, V is the volume of the glass greenhouse, c is the specific heat capacity of the air in the greenhouse, β is the evaporation ratio of water, m s is the watering rate, L s is the latent heat of evaporation of water, T out is the temperature outside the shed, and η is the ventilation efficiency.

[0113] It should be noted that this step calculates the ventilation volume through a formula, which takes into account multiple factors such as the temperature inside the greenhouse, air density, volume, specific heat capacity, and temperature outside the greenhouse. According to the temperature change trend inside the greenhouse, the ventilation volume required by the ventilation system can be accurately determined. By calculating the ventilation volume through the formula, the energy utilization efficiency can be maximized while meeting the temperature regulation needs of the greenhouse.

[0114] Embodiment 2: Based on Embodiment 1, a crop growth control system for a greenhouse is provided, such as Figure 2 As shown, including:

[0115] Data acquisition module: used to obtain relevant data inside and outside the shed;

[0116] Data preprocessing module: used to preprocess data, extract relevant features, and perform association;

[0117] Model building module: used to build weather change prediction model;

[0118] Characteristic analysis module: used to analyze the glass greenhouse to obtain the actual light transmittance and actual thermal conductivity;

[0119] Greenhouse factor change trend analysis module: Based on the output of the weather change prediction model and the actual characteristics of the glass greenhouse, the change trend of the greenhouse factors is obtained;

[0120] Crop demand analysis module: used to analyze the historical growth curve and sowing time of crops in the greenhouse, and obtain the current growth stage of crops in the greenhouse and the corresponding factor demand;

[0121] Sprinkler system control module: controls the temperature of crops in the greenhouse according to the amount and time of watering;

[0122] Ventilation system control module: controls the cooling of crops in the greenhouse according to the ventilation volume.

[0123] It should be understood that this embodiment is only used to illustrate the present invention and is not used to limit the scope of the present invention. In addition, it should be understood that after reading the content taught by the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope limited by the appended claims of the application.

Claims

1. A method for controlling crop growth in a greenhouse, characterized in that: The following steps are involved: S1: Obtain historical weather information outside the greenhouse and establish a weather change prediction model; S2: Obtain weather information outside the greenhouse and input it into the weather change prediction model to obtain weather change conditions outside the greenhouse; S3: Obtaining the material information of the glass greenhouse, and obtaining the changing trend of factors inside the greenhouse according to the weather changes outside the greenhouse; S4: adjusting the factors in the greenhouse according to the changing trends of the factors in the greenhouse.

2. A method for controlling crop growth in a greenhouse according to claim 1, characterized in that: The acquisition of historical weather information outside the greenhouse as described in S1 and the establishment of a weather change prediction model include: S11: Obtain historical weather information outside the greenhouse, the weather information including time, weather conditions, temperature outside the greenhouse and solar radiation intensity; S12: performing preprocessing operations of filling missing values ​​and removing outliers on the collected data, extracting relevant features, and correlating the features with the temperature change outside the greenhouse and the solar radiation intensity features according to the time features and weather condition features; S13: dividing the associated feature data into a training set, a test set, and a validation set, and inputting the training set and the test set into the LSTM model for training; S14: Use the validation set to evaluate the accuracy of the model, and optimize and adjust the parameters in the model based on the results to obtain a weather change prediction model.

3. A method for controlling crop growth in a greenhouse according to claim 1, characterized in that: The step S2 obtains the weather information outside the greenhouse and inputs it into the weather change prediction model to obtain the weather change situation outside the greenhouse, including: Acquire current weather information outside the greenhouse, extract features from the weather information and input them into the temperature change prediction model outside the greenhouse, and output temperature changes and solar radiation intensity changes; If the temperature outside the greenhouse is greater than the preset temperature threshold or the solar radiation intensity is greater than the preset radiation intensity threshold, the start time and end time of the temperature change and the solar radiation intensity change are obtained, and then the high temperature and high radiation duration are obtained.

4. A method for controlling crop growth in a greenhouse according to claim 1, characterized in that: The acquisition of the glass greenhouse material information in S3, and the change trend of factors inside the greenhouse according to the weather change outside the greenhouse, include: The material information of the glass greenhouse includes the age of the glass greenhouse, the initial light transmittance and initial thermal conductivity of the glass, and the area and volume of the glass greenhouse; According to the glass greenhouse material information, the actual light transmittance and actual thermal conductivity of the glass greenhouse are obtained; According to the actual light transmittance of the greenhouse and the change in solar radiation intensity, the formula is: I inside =S×I sun ×cosθ; The actual light intensity variation trend in the shed is obtained, where I inside is the actual light intensity, S is the actual light transmittance, I sun is the solar radiation intensity, θ is the solar radiation angle; According to the change of solar radiation intensity, the area of ​​the glass greenhouse and the actual heat transfer coefficient, the formula is: The temperature change trend in the greenhouse is obtained, where T in is the temperature inside the shed, is the integration factor, k is the actual heat transfer coefficient, A is the area of ​​the glass greenhouse, ρ is the air density in the greenhouse, V is the volume of the glass greenhouse, c is the specific heat capacity of the air in the greenhouse, I sun is the solar radiation intensity, S is the actual transmittance, t cx is the duration, T out is the temperature outside the greenhouse, Z is the adjustment constant; By combining the actual light intensity change trend and temperature change trend, the change trend of the factors in the greenhouse is obtained.

5. A method for controlling crop growth in a greenhouse according to claim 4, characterized in that: The actual light transmittance of the glass greenhouse is obtained according to the glass greenhouse material information, including: Obtain the shadow image of the marker in the studio and put it into the trained shadow recognition model; The shadow image is cropped according to a certain ratio to obtain the total number of pixels in the image; The average gray value of all pixels in the shadow image is calculated to represent the gray value of the shadow image. According to the relationship between the transmittance and the gray value of the shadow image, the shadow image of the marker in the glass greenhouse during installation is compared to obtain the actual transmittance.

6. A method for controlling crop growth in a greenhouse according to claim 4, characterized in that: The actual heat transfer coefficient of the glass greenhouse is obtained according to the glass greenhouse material information, including: According to the age information of the glass greenhouse and the initial thermal conductivity coefficient, the formula is: The actual thermal conductivity is obtained, where k is the actual thermal conductivity, k0 is the initial thermal conductivity, α is the age coefficient, t is the service life, and t0 is the rated life.

7. A method for controlling crop growth in a greenhouse according to claim 1, characterized in that: The step S4 of adjusting the temperature in the greenhouse according to the change trend of the factors in the greenhouse includes: Obtain the historical growth curve and sowing time of crops in the greenhouse, and obtain the current growth stage of crops in the greenhouse and the corresponding factor requirements; According to the actual light intensity change trend, compare the light intensity requirements of crops in the greenhouse; If the actual light intensity variation trend is greater than the light intensity requirement of the crops in the greenhouse, shading treatment is performed; If the actual light intensity change trend is less than the light intensity requirement of the crops in the greenhouse, a fill light is used to dynamically fill light the crops in the greenhouse, the dynamic fill light value is the difference between the light intensity requirement and the actual light intensity change trend, and the fill light time is the duration of high radiation; According to the temperature change trend, when the temperature in the greenhouse is greater than the temperature requirement of the crops in the greenhouse, the cooling system is controlled to adjust the temperature in the greenhouse; The cooling system is a sprinkler system and a ventilation system.

8. A method for controlling crop growth in a greenhouse according to claim 7, characterized in that: The sprinkler system comprises: Acquire the humidity in the greenhouse. When the humidity in the greenhouse is less than the maximum humidity requirement of the crops in the greenhouse, input the humidity and temperature in the greenhouse into the sprinkler system control model, output the watering amount and watering time of the sprinkler system, and obtain the watering rate through the watering amount and the watering time. The sprinkler system control model is a fuzzy logic reasoning model. When the humidity in the greenhouse is greater than or equal to the maximum humidity requirement of the crops in the greenhouse or the sprinkler system is turned on, the temperature in the greenhouse changes. If the temperature in the greenhouse shows an upward trend or the stable temperature value in the greenhouse is greater than the temperature requirement of the crops in the greenhouse, the ventilation system is turned on.

9. A method for controlling crop growth in a greenhouse according to claims 7 and 8, characterized in that: The ventilation system comprises: According to the temperature change trend, through the formula: The ventilation volume of the ventilation system is obtained, where Q vent is the ventilation volume, T in is the temperature in the greenhouse, ρ is the air density in the greenhouse, V is the volume of the glass greenhouse, c is the specific heat capacity of the air in the greenhouse, β is the evaporation ratio of water, m s is the watering rate, L s is the latent heat of evaporation of water, T out is the temperature outside the shed, and η is the ventilation efficiency.

10. A crop growth control system for a greenhouse, characterized in that: Also includes: Data acquisition module: used to obtain relevant data inside and outside the shed; Data preprocessing module: used to preprocess data, extract relevant features, and perform association; Model building module: used to build weather change prediction model; Characteristic analysis module: used to analyze the glass greenhouse to obtain the actual light transmittance and actual thermal conductivity; Greenhouse factor change trend analysis module: Based on the output of the weather change prediction model and the actual characteristics of the glass greenhouse, the change trend of the greenhouse factors is obtained; Crop demand analysis module: used to analyze the historical growth curve and sowing time of crops in the greenhouse, and obtain the current growth stage of crops in the greenhouse and the corresponding factor demand; Sprinkler system control module: controls the temperature of crops in the greenhouse according to the amount and time of watering; Ventilation system control module: controls the cooling of crops in the greenhouse according to the ventilation volume.

Images