Integrated control system for potato breeder's seed production

Abstract

The invention discloses an integrated control system for potato breeder's seed production, and relates to the technical field of potato breeding, the integrated control system for potato breeder's seed production comprises an environment monitoring module, a crop growth monitoring module, a fertilization demand module, a water and fertilizer supply control module, an equipment state monitoring module and a feedback correction module; the environment monitoring module collects environment parameters of a crop growth environment through a deployed sensor, and the environment parameters comprise temperature, soil humidity and illumination intensity. Through water and fertilizer supply and real-time monitoring, it is ensured that crops can obtain sufficient water and nutrients in all growth stages, irrigation and fertilization strategies are dynamically adjusted according to environmental conditions and plant growth states, the problem of poor growth caused by excessive or insufficient fertilization is avoided, the overall yield of the crops is increased through accurate regulation, and the yield of the crops is increased. The quality of the potatoes is improved, so that the goals of high quality and high yield are achieved.

Description

Technical Field

[0001] The invention relates to the technical field of potato breeding, and in particular to an integrated control system for potato original seed production. Background Art

[0002] Potato original stock refers to small potato pieces that meet quality standards and are produced under strict isolation and meticulous management conditions using breeder seeds, virus-free tissue culture seedlings, and test tube potato transplants or cuttings in insect-proof net rooms, greenhouses and other facilities. It is a key link in the potato seed breeding system and has the advantages of high purity, high virus-free rate, small size, and easy storage and transportation. The production of original stock is of great significance for ensuring the quality of potato seed potatoes and improving potato yield and quality.

[0003] In the production of potato stock, the allocation of water and fertilizer resources is particularly important. Traditional control systems will cause waste or shortage of resources due to uneven resource allocation or improper scheduling, which in turn affects production efficiency. Therefore, how to adjust the supply of water and fertilizer resources according to the growth cycle and nutritional needs of the plants, and control the parameters of the supply equipment is the problem we need to solve. Summary of the invention

[0004] The object of the present invention is to provide an integrated control system for potato original seed production to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is: An integrated control system for potato stock production, the integrated control system for potato stock production comprising an environment monitoring module, a crop growth monitoring module, a fertilization demand module, a water and fertilizer supply control module, an equipment status monitoring module and a feedback correction module; The environmental monitoring module collects environmental parameters of the crop growth environment through deployed sensors, wherein the environmental parameters include temperature, soil moisture and light intensity, providing a basis for water and fertilizer supply decisions and ensuring that the plants grow under optimal environmental conditions; The crop growth monitoring module monitors the growth status of crops through image recognition and sensor technology, including growth indicators such as leaf color, height and stem thickness, determines the growth stage of crops, and provides data support for precise fertilization; The fertilization demand module predicts the water and fertilizer requirements of the potato stock according to the crop growth monitoring data and the environmental monitoring data, combined with the constructed nutrient requirement model of the potato stock, so as to achieve precise fertilization and avoid fertilizer waste and environmental pollution caused by excessive fertilization; The water and fertilizer supply control module controls the parameters of the water and fertilizer supply equipment according to the water and fertilizer demand prediction results of the fertilization demand module to ensure that water and fertilizer resources are supplied on demand to meet the nutritional needs of plants at different growth stages; The equipment status monitoring module is used to monitor the operating status and working parameters of the water and fertilizer supply equipment in real time, promptly discover equipment failures and abnormalities, ensure the stable operation of the water and fertilizer supply system, and send out an alarm signal when the environmental monitoring data, plant growth monitoring data or equipment status data exceeds the preset threshold value, reminding the staff to take timely measures to prevent the occurrence of production accidents; The feedback correction module is used to continuously monitor the actual execution effect of water and fertilizer supply, and compare it with the expected target to determine whether correction is needed, thereby ensuring stability and reliability in long-term operation and gradually optimizing resource allocation strategies.

[0006] A further improvement of the technical solution of the present invention is that: the water and fertilizer supply control module includes an irrigation control unit and a fertilization control unit, wherein the electrical signals between the units are connected; The irrigation control unit controls the start and stop of the irrigation equipment, the irrigation intensity and the frequency according to the soil moisture and the water and fertilizer requirements of the original potato seeds; The fertilization control unit integrates an intelligent fertilization system to control the fertilizer application amount and application timing according to the growth status of the crop and the water and fertilizer requirements of the original potato seeds.

[0007] A further improvement of the technical solution of the present invention is that the environmental monitoring module specifically includes: In the potato seed planting area, various types of sensors are deployed to obtain environmental parameter data for potato seed production, including temperature sensors, soil moisture sensors, and light intensity sensors; The sensor converts the perceived environmental parameters into electrical signals and transmits them to the data processing unit of the environmental monitoring module through the communication line. The data processing unit decodes and processes the received signals and converts them into readable environmental parameter data; The environmental monitoring module pre-processes the collected environmental parameter data, removes outliers or erroneous data, ensures the accuracy and reliability of the data, and aggregates and organizes the data from different sensors to form a complete environmental data set containing all key environmental parameters. The organized data is then stored in the cloud server for subsequent analysis.

[0008] A further improvement of the technical solution of the present invention is that the crop growth monitoring module specifically includes: Deploy image acquisition equipment and sensors to monitor the growth status of crops. The image acquisition equipment is a high-resolution camera, and the sensors are height sensors, stem diameter sensors, and chlorophyll content sensors. The high-resolution cameras are deployed in the field to cover the entire planting area and regularly capture images of crops from multiple angles to ensure the comprehensiveness and accuracy of the data. The data collected by the sensor and camera are transmitted to the data processing unit of the crop growth monitoring module through the wireless communication line, and the electrical signals and image data of the sensor are decoded and preliminarily processed; Aggregate and organize data from different sensors and image data to form a complete growth data set, and pre-process the collected images, including denoising and contrast adjustment, to improve image quality, and then use image processing technology to separate the target plant from the background; Extract crop growth indicator features from the growth dataset, including leaf color, height, and stem diameter, and analyze the growth stages of potato stock based on historical crop growth data, including seedling, growing, and flowering stages; Combining the growth index characteristics and the decision tree model, a growth stage model of potato stock was constructed, and the current growth stage of the plant was determined based on the leaf color, height and stem thickness characteristics.

[0009] A further improvement of the technical solution of the present invention is that the construction process of the growth stage model of the potato original seed is: Based on the analysis of historical crop growth data, the growth index characteristics corresponding to different growth stages in the growth data set are marked, and the data set is divided into a training set and a test set; Leaf color, height and stem thickness features were selected as model inputs, and a decision tree model was selected as a tool to construct a growth stage model of potato stock. The decision tree model was trained using a training set. During the training process, the model learned the feature thresholds of different growth stages to form a decision tree structure. The trained model was then verified using a test set to evaluate the accuracy and reliability of the model. The performance of the model was quantified by calculating indicators such as accuracy, recall, and F1 score. In the growth stage model, the leaf color, height and stem thickness characteristics are processed as intermediate variables, and the comprehensive color index, comprehensive height index and comprehensive stem thickness index are calculated respectively. Then, the results of the intermediate variable processing are comprehensively analyzed to obtain the comprehensive growth index. The thresholds of different growth stages are preset and compared with the comprehensive growth index. Based on the trained growth stage model, the input leaf color, height and stem thickness features are analyzed, judged step by step in the decision tree structure, combined with the comprehensive growth indicators and preset thresholds of different growth stages, and finally the growth stage of the crop is automatically classified and output.

[0010] A further improvement of the technical solution of the present invention is that the fertilization demand module specifically includes: Based on historical crop growth data, the water and fertilizer requirements of potato original seeds at different growth stages are marked, and the historical crop growth monitoring data and environmental monitoring data are integrated to form a comprehensive data set; The characteristic data of temperature, soil moisture, light intensity, leaf color, height and stem diameter in the comprehensive data set were used in combination with the linear regression model to construct the nutrient requirement model of potato stock. The selected characteristics were used as independent variables, and the water and fertilizer requirements were used as dependent variables to construct a linear regression equation to analyze the water and fertilizer requirements of potato stock. The historical growth data and fertilization records were used to verify and optimize the nutrient requirement model. By comparing the actual growth conditions with the model prediction results, the model parameters were adjusted to improve the accuracy and reliability of the model. Based on the trained nutrient requirement model, combined with the current crop growth status and environmental conditions, the water and fertilizer requirements of potato original seeds are calculated, and then the nitrogen fertilizer demand and water demand are analyzed, the nitrogen fertilizer application and irrigation amount in the target area are determined, and a precise fertilization strategy is formulated. The fertilization strategy includes the water and fertilizer application amount, application stage and application method.

[0011] A further improvement of the technical solution of the present invention is that the water and fertilizer supply control module specifically includes: Obtain the water and fertilizer demand forecast results under the current crop growth status and environmental conditions from the fertilization demand module, and continuously receive real-time data from the environmental monitoring module (soil moisture sensor, temperature sensor, etc.) and the crop growth monitoring module (height sensor, stem thickness sensor, etc.); The control system in the irrigation control unit analyzes and processes the received data, compares the current soil moisture with the suitable soil moisture range required by the original potato seeds, and based on the analysis results, the irrigation control unit controls the start and stop of the irrigation equipment, the irrigation intensity and frequency. When the soil moisture is lower than the suitable soil moisture range, the irrigation equipment is started and the irrigation intensity is adjusted to ensure sufficient water. The control system in the fertilization control unit analyzes and processes the received data, evaluates the fertilizer demand of the crop, determines the amount and timing of fertilizer application according to the different growth stages and fertilizer requirements of the original potato species, and then adjusts the output of the fertilization equipment based on the predicted fertilizer demand, optimizes the fertilizer application effect, ensures that the potatoes obtain sufficient nutrients during the growth process, and improves crop quality and yield.

[0012] A further improvement of the technical solution of the present invention is that the control process of the irrigation control unit and the fertilization control unit includes: For irrigation control unit: Get the current soil moisture value according to the soil moisture sensor , compare the current soil moisture with the suitable soil moisture range required for the original potato seed ,when When the irrigation equipment is started, Stop irrigation equipment when According to the water demand provided by the fertilization demand module , determine the amount of water needed , adjust the flow of irrigation equipment to ensure accurate water supply, adjust the frequency of irrigation according to the crop growth stage and environmental conditions to avoid over-irrigation or water shortage, and when the soil moisture reaches or When the demand is met, stop irrigation; For the fertilization control unit: obtain the current crop growth status through the height sensor and stem thickness sensor, and calculate the fertilizer demand according to the fertilizer demand module , determine the amount of fertilizer needed , and then according to Adjust the output of fertilization equipment to ensure accurate fertilization, and choose the best time to fertilize based on crop growth stage and environmental conditions to avoid over- or under-fertilization.

[0013] A further improvement of the technical solution of the present invention is that the equipment status monitoring module specifically includes: The equipment status monitoring module collects various operating status and working parameters of the water and fertilizer supply equipment in real time through built-in sensors, and receives real-time data from the environment monitoring module and the crop growth monitoring module; Analyze the collected data in real time, compare the current data with the preset normal threshold, and identify whether the equipment is operating normally or whether there are potential anomalies; Once the operating status of the equipment is found to exceed the preset normal threshold, it will be immediately judged as abnormal and an alarm signal will be triggered, which will be presented in various forms such as sound, light and text message; After the alarm signal is triggered, the staff or system administrator is notified and the specific location and type of the abnormality is sent so that the staff can quickly locate the problem and take measures. After receiving the alarm signal, the staff goes to the site to check the equipment status and take appropriate maintenance measures according to the specific circumstances of the abnormality.

[0014] A further improvement of the technical solution of the present invention is that the feedback correction module specifically includes: The feedback correction module collects actual operation data from each execution unit of the water and fertilizer supply equipment, and evaluates the actual execution effect of the water and fertilizer supply in combination with the collected actual operation data, wherein the actual soil moisture, temperature and light intensity are compared with the preset environmental conditions, the actual plant height, stem thickness and leaf color are compared with the preset crop growth state, and the actual water and fertilizer application amount is compared with the predicted water and fertilizer application amount; Compare and analyze the actual implementation results with the preset targets to identify deviations in the water and fertilizer supply process. Then, based on the results of the comparative analysis, determine whether the water and fertilizer supply strategy needs to be revised. If revision is required, generate a revision plan to immediately adjust the irrigation amount and fertilization strategy to adapt to changes in the crop growth cycle.

[0015] Due to the adoption of the above technical solution, the present invention has the following technical advances compared with the prior art: The present invention provides an integrated control system for potato stock production, which ensures that crops can obtain sufficient water and nutrients at each growth stage through water and fertilizer supply and real-time monitoring, and dynamically adjusts irrigation and fertilization strategies according to environmental conditions and plant growth status, avoiding poor growth problems caused by excessive or insufficient fertilization. This precise control not only increases the overall yield of crops, but also improves the quality of potatoes, thereby ensuring the goal of high quality and high yield.

[0016] The present invention provides an integrated control system for potato stock production, which realizes precise irrigation and fertilization by accurately monitoring environmental parameters such as soil moisture, temperature, and light, combined with the actual needs of crops, thus avoiding the waste of water resources, reducing the excessive use of fertilizers, and lowering agricultural production costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0018] Figure 1 It is a schematic diagram of the workflow of the present invention; Figure 2 It is a schematic diagram of the system function modules of the present invention. DETAILED DESCRIPTION

[0019] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] Embodiment 1, as Figure 1 , Figure 2 As shown, the present invention provides an integrated control system for potato original seed production, the integrated control system for potato original seed production includes an environment monitoring module, a crop growth monitoring module, a fertilization demand module, a water and fertilizer supply control module, an equipment status monitoring module and a feedback correction module; The environmental monitoring module collects environmental parameters of the crop growth environment through deployed sensors, wherein the environmental parameters include temperature, soil moisture and light intensity, providing a basis for water and fertilizer supply decisions and ensuring that the plants grow under optimal environmental conditions. In the planting area of ​​potato original seeds, various types of sensors are deployed to obtain environmental parameter data for potato original seed production, wherein the sensors include temperature sensors, soil moisture sensors and light intensity sensors. The temperature sensor is used to monitor the temperature of the soil and air. The soil moisture sensor is used to monitor the moisture content in the soil to ensure that the potato root system can obtain an appropriate amount of moisture without being too wet or too dry. The light intensity sensor is used to measure the amount of solar radiation reaching the ground. The sensor converts the perceived environmental parameters into electrical signals and transmits them to the data processing unit of the environmental monitoring module through a communication line. The data processing unit decodes and processes the received signals and converts them into readable environmental parameter data. The environmental monitoring module pre-processes the collected environmental parameter data, removes outliers or erroneous data, ensures the accuracy and reliability of the data, and aggregates and organizes the data from different sensors to form a complete environmental data set containing all key environmental parameters, and then stores the organized data in the cloud server for subsequent analysis and use; The crop growth monitoring module uses image recognition and sensor technology to monitor the growth status of crops, including growth indicators such as leaf color, height, and stem thickness, to determine the growth stage of crops, provide data support for precise fertilization, and deploy image acquisition equipment and sensors to monitor the growth status of crops. The image acquisition equipment is a high-resolution camera, and the sensors are height sensors, stem thickness sensors, and chlorophyll content sensors. The height sensor is used to measure the height of the plant and understand its growth rate. The stem thickness sensor is used to measure the diameter of the stem and evaluate the health of the plant. The chlorophyll content sensor is used to indirectly reflect the color and health status of the leaves. High-resolution cameras are deployed in the field to cover the entire planting area. Crop images are taken regularly from multiple angles to ensure the comprehensiveness and accuracy of the data. The data collected by the sensors and cameras are The data is transmitted to the data processing unit of the crop growth monitoring module through the wireless communication line, and the electrical signal and image data of the sensor are decoded and preliminarily processed, and the data from different sensors and the image data are summarized and sorted to form a complete growth data set, and the collected images are preprocessed, including denoising, contrast adjustment, etc., to improve the image quality, and then the target plant is separated from the background by using image processing technology, and the growth index characteristics of the crop are extracted from the growth data set, including leaf color, height and stem thickness. The growth stage of the original potato seed is analyzed based on the historical crop growth data, including the seedling stage, the growth stage and the flowering stage. The growth index characteristics and the decision tree model are combined to construct the growth stage model of the original potato seed, and the current growth stage of the plant is judged according to the leaf color, height and stem thickness characteristics; In addition, the growth stage model of potato stock was constructed as follows: Based on the analysis of historical crop growth data, the growth index features corresponding to different growth stages in the growth data set are marked, and the data set is divided into a training set and a test set. Leaf color, height and stem thickness features are selected as model inputs. The decision tree model is selected as a tool for constructing a growth stage model of potato original seed, and the decision tree model is trained using the training set. During the training process, the model learns the feature thresholds of different growth stages to form a decision tree structure, and then the trained model is verified using the test set to evaluate the accuracy and reliability of the model. The performance of the model is quantified by calculating indicators such as accuracy, recall rate, and F1 score. In the growth stage model, the leaf color, height and stem thickness features are processed as intermediate variables, and the comprehensive color index, comprehensive height index and comprehensive stem thickness index are calculated respectively. Then, the intermediate variable processing results are comprehensively analyzed to obtain a comprehensive growth index, and different growth stage thresholds are preset, and compared with the comprehensive growth index. Based on the trained growth stage model, the input leaf color, height and stem thickness features are analyzed, and step-by-step judgment is made in the decision tree structure. Combined with the comprehensive growth index and the preset thresholds of different growth stages, the growth stage of the crop is finally automatically classified and output. The expression of the comprehensive growth index is: ; ; ; ; In the formula, It is a comprehensive growth index, which means that the influence of leaf color, height and stem thickness is comprehensively considered to obtain an overall growth index. It is a comprehensive color index, which represents the square and exponential function of leaf color, simulating the effect of leaf color on the overall health status. is the leaf color, represented by a value in the HSV color space, It is a comprehensive height index, which represents the standardized sum of squares of height differences and reflects the degree of deviation of the height from the average value. is the sample size, For the The height of the samples, is the mean value of height, is the standard deviation of the height, It is a comprehensive stem thickness index, which combines the ratio of stem thickness and the exponential decay function to reflect the changing trend of stem thickness and its impact on the growth stage. is the mean stem diameter, is the stem thickness, among which the threshold value of the seedling stage is , the threshold value of the growth period is , the threshold value of flowering period is ; The fertilization demand module predicts the water and fertilizer requirements of potato stock based on crop growth monitoring data and environmental monitoring data, combined with the constructed potato stock nutrition demand model, to achieve precise fertilization and avoid fertilizer waste and environmental pollution caused by excessive fertilization; The water and fertilizer supply control module controls the parameters of the water and fertilizer supply equipment according to the water and fertilizer demand prediction results of the fertilization demand module to ensure that water and fertilizer resources are supplied on demand to meet the nutritional needs of plants at different growth stages; The equipment status monitoring module is used to monitor the operating status and working parameters of the water and fertilizer supply equipment in real time, detect equipment failures and abnormalities in a timely manner, ensure the stable operation of the water and fertilizer supply system, and send out an alarm signal when the environmental monitoring data, plant growth monitoring data or equipment status data exceeds the preset threshold, reminding the staff to take timely measures to prevent production accidents; The feedback correction module is used to continuously monitor the actual performance of water and fertilizer supply, and compare it with the expected target to determine whether correction is needed, thus ensuring stability and reliability in long-term operation and gradually optimizing resource allocation strategies.

[0021] Embodiment 2, as Figure 1 , Figure 2 As shown, based on Example 1, the present invention provides a technical solution: preferably, the fertilization demand module specifically includes: Based on historical crop growth data, the water and fertilizer requirements of potato original seeds at different growth stages are marked, and the historical crop growth monitoring data and environmental monitoring data are integrated to form a comprehensive data set. The characteristic data including temperature, soil moisture, light intensity, leaf color, height and stem thickness in the comprehensive data set are used in combination with a linear regression model to construct a nutrient requirement model for potato original seeds. The selected characteristics are used as independent variables, and the water and fertilizer requirements are used as dependent variables to construct a linear regression equation to analyze the water and fertilizer requirements of potato original seeds. The nutrient requirement model is verified and optimized using historical growth data and fertilization records. By comparing the actual growth situation with the model prediction results, the model parameters are adjusted to improve the accuracy and reliability of the model. According to the trained nutrient requirement model, combined with the current crop growth status and environmental conditions, the water and fertilizer requirements of potato original seeds are calculated, and then the nitrogen fertilizer demand and water demand are analyzed, the nitrogen fertilizer application and irrigation amount in the target area are determined, the specific nitrogen fertilizer application amount and watering amount per hectare are determined, and a precise fertilization strategy is formulated, wherein the fertilization strategy includes the water and fertilizer application amount, application stage and application method; In addition, the expression for nitrogen fertilizer requirement is: ; In the formula, is the nitrogen fertilizer requirement, It is a comprehensive color index, which indicates the comprehensive evaluation value of leaf color. The larger the value, the healthier the leaf. It usually varies between 0.5 and 1. It is a comprehensive height index, which indicates the comprehensive evaluation value of plant height. The larger the value, the taller the plant is. It usually varies between 0.3 and 1. It is a comprehensive stem thickness index, which indicates the comprehensive evaluation value of stem thickness. The larger the value, the thicker the stem. It usually varies between 0.4 and 1. is the current temperature, between 10°C and 30°C. The higher the temperature, the greater the impact on nitrogen fertilizer demand. The optimum temperature is 20°C to 25°C, which is the most suitable temperature for potato growth. is the temperature variation range, which is 5°C to 10°C, indicating the allowable temperature fluctuation range. is the current soil moisture, which represents the measured soil moisture percentage, between 20% and 60%. The higher the soil moisture, the greater the impact on nitrogen fertilizer demand. The optimum soil moisture is 30% to 40%, which is the most suitable soil moisture for potato growth. is the soil moisture variation range, which is 5% to 10%, indicating the allowable fluctuation range of soil moisture; The expression for water requirement is: ; In the formula, is the water requirement, is the plant height in cm, between 10cm and 50cm, indicating the measured plant height. The higher the height, the greater the water demand. is the mean height, between 20cm and 30cm, indicating the average plant height of all samples. The current light intensity indicates the measured light intensity in lux, which is between 5000 lux and 10000 lux. The stronger the light, the greater the water demand. The optimal light intensity is 8000 lux, which is the most suitable light intensity for potato growth. is the range of light intensity variation, from 1000 lux to 2000 lux, indicating the allowable fluctuation range of light intensity. It is the current leaf color (indirectly reflected by the chlorophyll content), indicating the evaluation value of leaf color. The larger the value, the healthier the leaf. It usually varies between 0.5 and 1. The optimal leaf color indicates the leaf color that is most suitable for potato growth, usually 0.7. The leaf color variation range indicates the allowable fluctuation range of leaf color, usually 0.1 to 0.2; The water and fertilizer supply control module includes an irrigation control unit and a fertilization control unit, wherein the electrical signals between the units are connected. The irrigation control unit controls the start and stop of the irrigation equipment, the irrigation intensity and the frequency according to the soil moisture and the water and fertilizer requirements of the original potato species, so as to meet the needs of the crop, accurately control the supply of water, reduce the waste of water resources, ensure that the soil moisture is kept in an appropriate range, and promote the healthy growth of potatoes. The fertilization control unit integrates an intelligent fertilization system to control the fertilizer, application amount and application time according to the growth status of the crop and the water and fertilizer requirements of the original potato species, optimizes the fertilizer application, avoids over-fertilization or under-fertilization, and ensures that the potato obtains sufficient nutrients during the growth process, thereby improving the crop quality and yield; The water and fertilizer supply control module specifically includes: The water and fertilizer demand forecast results under the current crop growth status and environmental conditions are obtained from the fertilization demand module, and the real-time data from the environmental monitoring module (soil moisture sensor, temperature sensor, etc.) and the crop growth monitoring module (height sensor, stem thickness sensor, etc.) are continuously received. The control system in the irrigation control unit analyzes and processes the received data, compares the current soil moisture with the suitable soil moisture range required by the original potato seeds, and controls the start and stop, irrigation intensity and frequency of the irrigation equipment according to the analysis results. When the soil moisture is lower than the suitable soil moisture range, the irrigation equipment is started and the irrigation intensity is adjusted to ensure sufficient water. The control system in the fertilization control unit analyzes and processes the received data, evaluates the fertilizer demand status of the crop, and determines the amount and timing of fertilizer application according to the different growth stages and fertilizer requirements of the original potato seeds. Then, according to the predicted fertilizer demand, the output of the fertilization equipment is adjusted to optimize the fertilizer application effect, ensure that the potato obtains sufficient nutrients during the growth process, and improve the crop quality and yield; In addition, the control process of the irrigation control unit and the fertilization control unit includes: For irrigation control unit: Get the current soil moisture value according to the soil moisture sensor , compare the current soil moisture with the suitable soil moisture range required for the original potato seed ,when When the irrigation equipment is started, Stop irrigation equipment when According to the water demand provided by the fertilization demand module , determine the amount of water needed , adjust the flow of irrigation equipment to ensure accurate water supply, adjust the frequency of irrigation according to the crop growth stage and environmental conditions to avoid over-irrigation or water shortage, and when the soil moisture reaches or When the demand is met, stop irrigation; For the fertilization control unit: obtain the current crop growth status through the height sensor and stem thickness sensor, and calculate the fertilizer demand according to the fertilizer demand module , determine the amount of fertilizer needed , and then according to Adjust the output of fertilization equipment to ensure accurate fertilization, and choose the best time to fertilize based on crop growth stage and environmental conditions to avoid over-fertilization or under-fertilization; The equipment status monitoring module specifically includes: The equipment status monitoring module collects various operating conditions and working parameters of the water and fertilizer supply equipment in real time through built-in sensors, and receives real-time data from the environment monitoring module and the crop growth monitoring module. It analyzes the collected data in real time, compares the current data with the preset normal threshold, and identifies whether the equipment's operating status is normal and whether there are potential abnormalities. Once the equipment's operating status exceeds the preset normal threshold, it is immediately judged as abnormal and triggers an alarm signal, which is presented in various forms such as sound, light, and text messages. After the alarm signal is triggered, the staff or system administrator is notified, and the specific location and type of the abnormality are sent so that the staff can quickly locate the problem and take measures. After receiving the alarm signal, the staff goes to the site to check the equipment status and take corresponding maintenance measures according to the specific situation of the abnormality. The feedback correction module specifically includes: The feedback correction module collects actual operation data from each execution unit of the water and fertilizer supply equipment, and evaluates the actual execution effect of the water and fertilizer supply based on the collected actual operation data. It compares the actual soil moisture, temperature and light intensity with the preset environmental conditions, compares the actual plant height, stem thickness and leaf color with the preset crop growth status, compares the actual water and fertilizer application amount with the predicted water and fertilizer application amount, compares the actual execution effect with the preset target, identifies the deviation in the water and fertilizer supply process, and then determines whether the water and fertilizer supply strategy needs to be corrected based on the results of the comparative analysis. If correction is required, a correction plan is generated to immediately adjust the irrigation amount and the fertilization strategy to adapt to changes in the crop growth cycle.

[0022] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. An integrated control system for potato stock production, characterized in that: The integrated control system for potato original seed production includes an environmental monitoring module, a crop growth monitoring module, a fertilization demand module, a water and fertilizer supply control module, an equipment status monitoring module, and a feedback correction module; The environmental monitoring module collects environmental parameters of the crop growth environment through deployed sensors, wherein the environmental parameters include temperature, soil moisture and light intensity; The crop growth monitoring module monitors the growth status of crops through image recognition and sensor technology, including growth indicators such as leaf color, height and stem thickness, and determines the growth stage of crops; The fertilization demand module predicts the water and fertilizer requirements of the potato stock according to the crop growth monitoring data and the environmental monitoring data in combination with the constructed nutrient requirement model of the potato stock; The water and fertilizer supply control module controls the parameters of the water and fertilizer supply equipment according to the water and fertilizer demand prediction results of the fertilization demand module; The equipment status monitoring module is used to monitor the operating status and working parameters of the water and fertilizer supply equipment in real time, and to send out an alarm signal when the environmental monitoring data, plant growth monitoring data or equipment status data exceeds a preset threshold; The feedback correction module is used to continuously monitor the actual execution effect of water and fertilizer supply, and compare it with the expected target to determine whether correction is needed.

2. The integrated control system for potato stock production according to claim 1, characterized in that: The water and fertilizer supply control module includes an irrigation control unit and a fertilization control unit, wherein the electrical signals between the units are connected; The irrigation control unit controls the start and stop of the irrigation equipment, the irrigation intensity and the frequency according to the soil moisture and the water and fertilizer requirements of the original potato seeds; The fertilization control unit integrates an intelligent fertilization system to control the fertilizer application amount and application timing according to the growth status of the crop and the water and fertilizer requirements of the original potato seeds.

3. The integrated control system for potato original seed production according to claim 2 is characterized in that: The environmental monitoring module specifically includes: In the potato seed planting area, various types of sensors are deployed to obtain environmental parameter data for potato seed production, including temperature sensors, soil moisture sensors, and light intensity sensors; The sensor converts the perceived environmental parameters into electrical signals and transmits them to the data processing unit of the environmental monitoring module through the communication line. The data processing unit decodes and processes the received signals and converts them into readable environmental parameter data; The environmental monitoring module pre-processes the collected environmental parameter data, removes outliers or erroneous data, and aggregates and organizes the data from different sensors to form a complete environmental data set containing all key environmental parameters, and then stores the organized data in the cloud server.

4. The integrated control system for potato stock production according to claim 3, characterized in that: The crop growth monitoring module specifically includes: Deploy image acquisition equipment and sensors to monitor the growth status of crops. The image acquisition equipment is a high-resolution camera, and the sensors are a height sensor, a stem diameter sensor, and a chlorophyll content sensor. The high-resolution camera is deployed in the field to cover the entire planting area and regularly capture images of crops from multiple angles. The data collected by the sensor and camera are transmitted to the data processing unit of the crop growth monitoring module through wireless communication lines, and the electrical signals and image data of the sensor are decoded and preliminarily processed; Aggregate and organize data from different sensors and image data to form a complete growth data set, pre-process the collected images, and then use image processing technology to separate the target plant from the background; Extract crop growth indicator features from the growth dataset, including leaf color, height, and stem diameter, and analyze the growth stages of potato stock based on historical crop growth data, including seedling, growing, and flowering stages; Combining the growth index characteristics and the decision tree model, a growth stage model of potato stock was constructed, and the current growth stage of the plant was determined based on the leaf color, height and stem thickness characteristics.

5. The integrated control system for potato stock production according to claim 4, characterized in that: The construction process of the growth stage model of the potato original seed is as follows: Based on the analysis of historical crop growth data, the growth index characteristics corresponding to different growth stages in the growth data set are marked, and the data set is divided into a training set and a test set; Leaf color, height and stem thickness features were selected as model inputs, and a decision tree model was selected as a tool for constructing a growth stage model of potato stock. The decision tree model was trained using a training set, and then the trained model was validated using a test set to evaluate the accuracy and reliability of the model. In the growth stage model, the leaf color, height and stem thickness characteristics are processed as intermediate variables, and the comprehensive color index, comprehensive height index and comprehensive stem thickness index are calculated respectively. Then, the results of the intermediate variable processing are comprehensively analyzed to obtain the comprehensive growth index. The thresholds of different growth stages are preset and compared with the comprehensive growth index. Based on the trained growth stage model, the input leaf color, height and stem thickness features are analyzed, judged step by step in the decision tree structure, combined with the comprehensive growth indicators and preset thresholds of different growth stages, and finally the growth stage of the crop is automatically classified and output.

6. The integrated control system for potato stock production according to claim 5, characterized in that: The fertilization demand module specifically includes: Based on historical crop growth data, the water and fertilizer requirements of potato original seeds at different growth stages are marked, and the historical crop growth monitoring data and environmental monitoring data are integrated to form a comprehensive data set; The characteristic data of temperature, soil moisture, light intensity, leaf color, height and stem diameter in the comprehensive data set were used in combination with the linear regression model to construct the nutrient requirement model of potato stock. The selected characteristics were used as independent variables, and the water and fertilizer requirements were used as dependent variables to construct a linear regression equation to analyze the water and fertilizer requirements of potato stock. The historical growth data and fertilization records were used to verify and optimize the nutrient requirement model. The model parameters were adjusted by comparing the actual growth conditions with the model prediction results. Based on the trained nutrient requirement model, combined with the current crop growth status and environmental conditions, the water and fertilizer requirements of potato original seeds are calculated, and then the nitrogen fertilizer demand and water demand are analyzed, the nitrogen fertilizer application and irrigation amount in the target area are determined, and a precise fertilization strategy is formulated. The fertilization strategy includes the water and fertilizer application amount, application stage and application method.

7. The integrated control system for potato stock production according to claim 6, characterized in that: The water and fertilizer supply control module specifically includes: Obtain the water and fertilizer demand forecast results under the current crop growth status and environmental conditions from the fertilization demand module, and continuously receive real-time data from the environmental monitoring module and the crop growth monitoring module; The control system in the irrigation control unit analyzes and processes the received data, compares the current soil moisture with the suitable soil moisture range required by the original potato seeds, and based on the analysis results, the irrigation control unit controls the start and stop of the irrigation equipment, the irrigation intensity and frequency, and when the soil moisture is lower than the suitable soil moisture range, starts the irrigation equipment and adjusts the irrigation intensity; The control system in the fertilization control unit analyzes and processes the received data, evaluates the fertilizer demand of the crop, determines the amount and timing of fertilizer application according to the different growth stages and fertilizer requirements of the original potato seeds, and then adjusts the output of the fertilization equipment according to the predicted fertilizer demand to optimize the fertilizer application effect.

8. The integrated control system for potato stock production according to claim 7, characterized in that: The control process of the irrigation control unit and the fertilization control unit includes: For irrigation control unit: Get the current soil moisture value according to the soil moisture sensor , compare the current soil moisture with the suitable soil moisture range required for the original potato seed ,when When the irrigation equipment is started, Stop irrigation equipment when According to the water demand provided by the fertilization demand module , determine the amount of water needed , adjust the flow of irrigation equipment, adjust the frequency of irrigation according to the crop growth stage and environmental conditions, and when the soil moisture reaches or When the demand is met, stop irrigation; For the fertilization control unit: obtain the current crop growth status through the height sensor and stem thickness sensor, and calculate the fertilizer demand according to the fertilizer demand module , determine the amount of fertilizer needed , and then according to Adjust the output of fertilization equipment and choose the best time to fertilize based on crop growth stage and environmental conditions.

9. The integrated control system for potato stock production according to claim 8, characterized in that: The equipment status monitoring module specifically includes: The equipment status monitoring module collects various operating conditions and working parameters of the water and fertilizer supply equipment in real time through built-in sensors, and receives real-time data from the environment monitoring module and the crop growth monitoring module; Analyze the collected data in real time, compare the current data with the preset normal threshold, and identify whether the equipment is operating normally or whether there are potential anomalies; Once the operating status of the equipment is found to exceed the preset normal threshold, it will be immediately judged as abnormal and an alarm signal will be triggered, which will be presented in various forms such as sound, light and text message; When the alarm signal is triggered, the staff or system administrator is notified and the specific location and type of the abnormality is sent. After receiving the alarm signal, the staff goes to the site to check the equipment status and take appropriate maintenance measures based on the specific circumstances of the abnormality.

10. The integrated control system for potato stock production according to claim 9, characterized in that: The feedback correction module specifically includes: The feedback correction module collects actual operation data from each execution unit of the water and fertilizer supply equipment, and evaluates the actual execution effect of the water and fertilizer supply in combination with the collected actual operation data, wherein the actual soil moisture, temperature and light intensity are compared with the preset environmental conditions, the actual plant height, stem thickness and leaf color are compared with the preset crop growth state, and the actual water and fertilizer application amount is compared with the predicted water and fertilizer application amount; Compare and analyze the actual implementation results with the preset targets to identify deviations in the water and fertilizer supply process. Then, based on the results of the comparative analysis, determine whether the water and fertilizer supply strategy needs to be revised. If revision is required, generate a revision plan to immediately adjust the irrigation amount and fertilization strategy to adapt to changes in the crop growth cycle.

Images