Accurate fertilizer proportioning production control system based on data analysis

Abstract

The invention discloses an accurate fertilizer proportioning production control system based on data analysis, and relates to the technical field of intelligent agriculture, the system collects soil and crop related data in real time through a sensor group and monitoring equipment, and after preprocessing, a crop growth environment data set is formed; summarizing and calculating a soil microorganism activity index, a root respiration rate index and a photosynthesis efficiency index; the indexes and the soil environment data are combined to determine the specific feeding demand quantity of nitrogen, phosphorus and potassium, the specific feeding demand quantity of nitrogen, phosphorus and potassium is summarized, a comprehensive fertilizer proportion index is calculated, evaluation is performed according to a preset first fertilizer demand threshold value and a preset second fertilizer demand threshold value, and when an evaluation result triggers a proportion adjustment mechanism, the fertilizer is adjusted. And the fertilizer ratio regulation and control module dynamically adjusts the fertilizer ratio according to the actual crop and soil conditions, and optimizes the ratio effect through a feedback mechanism. According to the system, the nutrient supply precision of crops is improved, fertilizer waste can be effectively reduced, and sustainable agricultural development is promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent agriculture, and specifically provides a production control system for precise fertilizer ratio based on data analysis. Background Art

[0002] With the rapid development of modern agricultural technology, agricultural production is gradually shifting from traditional methods that rely on human labor and experience to a more scientific and intelligent direction. The precise ratio and application of fertilizers have become one of the important research directions in modern agricultural production. Traditional fertilization methods usually rely on farmers' experience and limited soil test data, and it is often difficult to achieve precise fertilizer ratio, which easily leads to problems such as resource waste or insufficient plant nutrition. Due to the lack of precise understanding of soil and crop growth conditions, traditional fertilization methods often result in improper use of fertilizers, which may not only cause insufficient nutrient supply to crops but also lead to problems such as soil pollution and environmental damage. In addition, traditional fertilization methods are difficult to precisely control the proportion of various nutrients, resulting in nutrient imbalance during the growth process of crops.

[0003] Currently, many traditional fertilizer ratio methods rely on fixed fertilization standards and experience, and these methods have certain deficiencies in practical applications. Due to the inability to dynamically adjust the fertilizer ratio, the flexibility and adaptability of traditional systems are poor when facing different growth stages or environmental changes. This rigid fertilization mode easily leads to waste or shortage of fertilizers, affecting the health of soil and crops. At the same time, traditional methods lack scientific data support and are not easy to effectively adjust fertilization strategies according to specific environmental conditions and crop requirements, which may result in unsatisfactory fertilization effects. The main drawbacks and deficiencies of traditional fertilizer ratio methods often stem from their insufficient response to the dynamic changes of soil and crop growth environments. Due to the lack of real-time data support, these methods cannot accurately reflect the actual nutrient status in the soil and the actual fertilizer requirements of crops. In this case, the amount of fertilizer applied may be too much or too little, causing resource waste or insufficient crop nutrition. Excessive fertilizers not only increase production costs but also may have a negative impact on the environment, while insufficient fertilizers may lead to poor crop growth, affecting the final yield and quality. In short, traditional methods fail to effectively integrate real-time data and dynamic adjustment mechanisms, resulting in significant differences and instability in fertilization effects. Summary of the Invention

[0004] Aiming at the deficiencies of the prior art, the present invention provides a production control system for precise fertilizer ratio based on data analysis, which solves the problems in the above background art.

[0005] To achieve the above objectives, the present invention is realized through the following technical solutions: A production control system for precise fertilizer ratio based on data analysis includes a data acquisition module, a data analysis module, a nutrient content analysis module, a comprehensive algorithm module, and a fertilizer ratio regulation module;

[0006] The data acquisition module is used to directly obtain soil information data through the installed sensor group, obtain crop data through monitoring equipment and sampling analysis, and preprocess the collected data to obtain a crop growth environment data group;

[0007] The data analysis module is used to summarize and calculate the preprocessed crop growth environment data group to obtain a soil microbial activity index, a root respiration rate index, and a photosynthesis efficiency index;

[0008] The nutrient content analysis module is used to summarize and calculate the obtained soil microbial activity index, root respiration rate index, and photosynthesis efficiency index, combined with soil humidity and environmental temperature, to obtain the nitrogen application demand, phosphorus application demand, and potassium application demand;

[0009] The comprehensive algorithm module is used to summarize and calculate the obtained nitrogen, phosphorus, and potassium application demands to obtain a comprehensive fertilizer ratio index, and conduct a preliminary evaluation with the obtained first fertilizer demand threshold and second fertilizer demand threshold;

[0010] The fertilizer ratio regulation module is used to construct a dynamic regulation model for regulating the fertilizer ratio to calculate the fertilizer ratio regulation coefficient when the preliminary evaluation requires triggering the fertilizer ratio adjustment mechanism, and summarize and calculate in combination with the comprehensive fertilizer ratio index to obtain a comprehensive fertilizer demand coefficient, and then conduct a secondary evaluation with the obtained first fertilizer demand threshold and second fertilizer demand threshold.

[0011] Preferably, the data acquisition module includes a data acquisition unit and a data preprocessing unit;

[0012] The data acquisition unit is used to collect soil information data in real time through the sensor group inserted into the soil, collect air data in real time through the sensor group installed on the surface of the crop, and obtain crop data through monitoring equipment and sampling analysis of the crop;

[0013] The sensor group includes a soil sensor, a soil humidity sensor, a temperature sensor, an oxygen sensor, and a carbon dioxide sensor;

[0014] The monitoring equipment includes a pH meter, a chlorophyll meter, and a quantum light meter;

[0015] The sampling analysis involves collecting samples of soil and crops, extracting a certain volume of soil samples from the target area, separating the crops from the soil, cleaning the roots and counting the number of roots and measuring the dry mass of the roots, calculating the dry mass of the roots per unit soil volume to obtain the root density; collecting all the leaves within a certain range, directly measuring the area of the plant leaves with a leaf area meter, dividing the total leaf area by the surface area of the ground to directly obtain the leaf area index; taking a certain amount of soil samples, drying them and grinding them into fine powder, weighing the weight of the dried soil samples, using the high-temperature burning method to measure the mass change after burning, obtaining the mass of the organic matter, and calculating the organic matter content;

[0016] The data preprocessing unit is used to perform verification, filtering, outlier detection and dimensionless processing on the collected soil information data and crop data to obtain a crop growth environment data set;

[0017] The crop growth environment data set includes a soil nutrient content data set, a soil environment data set, a crop root respiration factor data set and a photosynthetic efficiency data set;

[0018] The soil nutrient content data set includes nitrogen content, phosphorus content and potassium content;

[0019] The soil environment data set includes organic matter content, soil humidity, soil temperature, soil pH value and environmental temperature;

[0020] The crop root respiration factor data set includes soil oxygen concentration, soil carbon dioxide concentration and root density;

[0021] The photosynthetic efficiency data set includes chlorophyll content, photosynthetically active radiation, leaf area index and atmospheric carbon dioxide concentration.

[0022] Preferably, the data analysis module includes a soil microbial activity calculation unit, a root respiration rate calculation unit and a photosynthesis efficiency calculation unit;

[0023] The soil microbial activity calculation unit is used to, based on the obtained soil environment data set, divide the product of the organic matter content and the soil humidity by the soil temperature to obtain a preliminary value of the microbial activity, and then correct it according to the deviation between the soil pH value and the neutral value to reflect the activity degree of the microorganisms in the soil, and calculate the soil microbial activity index by comprehensively considering the influencing factors of the organic matter content, humidity, temperature and pH value in the soil;

[0024] The root respiration rate calculation unit is used to multiply the oxygen concentration in the soil by the logarithm of the root density according to the obtained crop root respiration factor data set to obtain the baseline value of the root respiration rate, and adjust it with the carbon dioxide concentration to reflect the root respiration status. By combining the oxygen and carbon dioxide concentrations in the soil with the root density, the root respiration rate index is calculated;

[0025] The photosynthesis efficiency calculation unit is used to multiply the chlorophyll content by the square root of the light intensity and leaf area according to the obtained photosynthesis efficiency data set, and adjust it in combination with the atmospheric carbon dioxide concentration to obtain a comprehensive index of photosynthesis efficiency, and calculate the photosynthesis efficiency index.

[0026] Preferably, the nutrient content analysis module is used to extract the soil humidity and environmental temperature from the obtained soil microbial activity index, root respiration rate index and photosynthesis efficiency index, and summarize and calculate to obtain the nitrogen application demand, phosphorus application demand and potassium application demand;

[0027] The specific methods for obtaining the nitrogen application demand, phosphorus application demand and potassium application demand are as follows;

[0028] The system calculates the difference between the ideal nitrogen content of the crop at the current growth stage and the actual nitrogen content in the current soil to form the basic demand, and sets the nutrient conversion efficiency coefficient of nitrogen fertilizer. Based on the correlation between the soil microbial activity index and the nitrogen demand, an empirical coefficient is introduced to dynamically adjust the nitrogen demand. Based on the correlation between the root respiration rate index and the maximum root respiration rate and the nitrogen demand, a second empirical coefficient is introduced again to further correct the nitrogen demand to adapt to the impact of the change in root activity on the nitrogen demand, and the nitrogen application demand is obtained by summarization;

[0029] The system calculates the difference between the ideal phosphorus content of the crop at the current growth stage and the actual phosphorus content in the current soil to form the basic demand, and sets the nutrient conversion efficiency coefficient of phosphate fertilizer to reflect the efficiency of phosphate fertilizer conversion into absorbable phosphorus; Based on the influence between the photosynthesis efficiency index and the phosphorus demand, a third empirical coefficient is introduced, and the phosphorus demand is adjusted by the product term of the photosynthesis efficiency index and the empirical coefficient to adapt to the change in the photosynthesis level of the crop; By introducing a fourth empirical coefficient to correct the influence of soil humidity and ideal humidity on the phosphorus demand, the phosphorus demand is dynamically adjusted, and the phosphorus application demand is obtained by summarization;

[0030] The system calculates the difference between the ideal potassium content of the crop at the current growth stage and the actual potassium content in the current soil to form the basic demand, quantifies the basic demand, then introduces the environmental temperature and the optimal temperature, combines with the fifth empirical coefficient to form a correction term, dynamically adjusts the potassium demand according to the temperature change, and summarizes to obtain the potassium application demand.

[0031] Preferably, the comprehensive algorithm module includes a fertilizer ratio calculation unit and a fertilizer ratio demand evaluation unit;

[0032] The fertilizer ratio calculation unit is used to perform weighted aggregation calculation on the obtained nitrogen application demand, phosphorus application demand and potassium application demand to obtain the comprehensive fertilizer ratio index.

[0033] Preferably, the fertilizer ratio demand evaluation unit includes a threshold construction unit and a fertilizer ratio evaluation unit;

[0034] The threshold construction unit comprehensively constructs the plant fertilizer demand threshold formula by analyzing the actual nitrogen, phosphorus and potassium contents in the soil, and at the same time considering the different effects of different plants on nitrogen, phosphorus, potassium, growth environment and plant own activity, and imports the actual nitrogen, phosphorus, potassium, soil microbial activity index and root respiration rate index in the soil into the plant fertilizer demand threshold formula to calculate and obtain the plant fertilizer demand threshold;

[0035] Due to the existence of uncertain factors between the measurement results and the actual results in the actual parameter collection and measurement process, there is a certain fluctuation in the calculated plant fertilizer demand threshold. A tolerance value is introduced to standardize the results, and the first fertilizer demand threshold and the second fertilizer demand threshold are preset.

[0036] Preferably, the fertilizer ratio evaluation unit is used to preliminarily compare and evaluate the preset first fertilizer demand threshold and the second fertilizer demand threshold with the obtained comprehensive fertilizer ratio index, and analyze the fertilizer application information. The specific evaluation scheme is as follows;

[0037] When the comprehensive fertilizer ratio index is less than the first fertilizer demand threshold, the fertilizer application demand does not meet the needs of the crop, and the fertilizer ratio adjustment mechanism is automatically triggered;

[0038] When the first fertilizer demand threshold is less than or equal to the comprehensive fertilizer ratio index and less than or equal to the second fertilizer demand threshold, fertilize according to the standard at this time and maintain monitoring;

[0039] When the comprehensive fertilizer ratio index is greater than the second fertilizer demand threshold, the fertilizer application is excessive, and the fertilizer ratio adjustment mechanism is automatically triggered.

[0040] Preferably, the fertilizer ratio regulation module is used to adjust the fertilizer ratio when the comprehensive fertilizer ratio index is less than the first fertilizer demand threshold and greater than the second fertilizer demand threshold;

[0041] The fertilizer ratio regulation module includes a regulation formula construction unit and a fertilizer demand analysis unit;

[0042] The regulation formula construction unit constructs a dynamic fertilizer ratio regulation model through comprehensive analysis of data on soil microbial activity, root activity, photosynthesis efficiency, soil density, etc., and adjusts it according to the actual soil and crop conditions. Regularly collect crop growth and soil environment data, conduct feedback analysis on the ratio effect, set adjustment factors, and then input the obtained comprehensive fertilizer ratio index, soil microbial activity index, root respiration rate index, and photosynthesis efficiency index into the dynamic fertilizer ratio regulation model to calculate the fertilizer ratio regulation coefficient.

[0043] Preferably, the fertilizer demand analysis unit includes a comprehensive fertilizer demand calculation unit and a fertilizer demand evaluation unit;

[0044] It is used to summarize the obtained comprehensive fertilizer ratio index and fertilizer ratio regulation coefficient, analyze the regulated fertilizer application amount, and calculate the comprehensive fertilizer demand coefficient.

[0045] Preferably, the fertilizer demand evaluation unit is used to preset the first fertilizer demand threshold and the second fertilizer demand threshold, compare and evaluate them with the obtained comprehensive fertilizer demand coefficient, and analyze the fertilizer application information. The specific evaluation scheme is as follows;

[0046] When the comprehensive fertilizer demand coefficient is less than the first fertilizer demand threshold, it means that the fertilizer application demand does not meet the crop's needs, and iterative analysis is carried out through the nutrient content analysis module;

[0047] When the first fertilizer demand threshold is less than or equal to the comprehensive fertilizer demand coefficient and less than or equal to the second fertilizer demand threshold, it means that the fertilizer application demand meets the crop's needs;

[0048] When the comprehensive fertilizer demand coefficient is greater than the second fertilizer demand threshold, it means that the fertilizer application demand exceeds the standard, and iterative analysis is carried out through the nutrient content analysis module.

[0049] The present invention provides a precise fertilizer ratio production control system based on data analysis. It has the following beneficial effects:

[0050] (1) The data acquisition module of this system is equipped with a high-precision sensor group, a soil sampling device, and crop growth monitoring equipment. These devices can collect soil information data and crop data in real time. These parameters are transmitted to the central data processing unit in real time through wireless transmission technology and are summarized and preliminarily analyzed through big data analysis algorithms, ensuring the comprehensiveness and accuracy of the data. This link lays a solid foundation for the further analysis and calculation of the system and also provides real-time and reliable data support for precise fertilization.

[0051] (2) This system introduces a complex nutrient content analysis module, which can deeply analyze the multi-dimensional data provided by the data acquisition module. By summarizing and calculating, it obtains the soil microbial activity index, root respiration rate index, and photosynthesis efficiency index. The system accurately calculates the nitrogen application demand, phosphorus application demand, and potassium application demand required for crop growth through a complex algorithm formula, and further calculates and evaluates the fertilizer ratio index through a comprehensive algorithm module. The system can monitor and adjust the fertilizer ratio in real time and dynamically optimize the fertilizer use plan according to the actual needs of the crops, ensuring the precise application of fertilizers. This not only improves the nutrient supply for crop growth but also reduces unnecessary environmental pollution, realizing a more environmentally friendly and sustainable agricultural production model.

[0052] (3) By introducing an intelligent fertilizer ratio control mechanism, the system can not only monitor the needs of crops in real time but also adjust the fertilizer application plan in a timely manner when the fertilizer is insufficient or excessive. Based on the first fertilizer demand threshold A and the second fertilizer demand threshold B, the system automatically triggers the control mechanism according to the change of the comprehensive fertilizer ratio index FIN. When the fertilizer demand does not reach the optimal demand for crop growth, the system will automatically increase the fertilizer application amount; while when the fertilizer application is excessive, it will automatically reduce the fertilizer amount to avoid waste and environmental pollution. The fertilizer ratio control module dynamically analyzes data such as soil microbial activity, root activity, and photosynthesis efficiency, adjusts the fertilizer application strategy in real time, and performs periodic optimization according to the feedback results. This intelligent adjustment mechanism not only ensures the accuracy of fertilizer application but also effectively promotes the healthy growth of crops, avoiding the over-application or under-application phenomena in traditional fertilizer management methods, achieving the effects of improving fertilizer utilization rate and crop yield. Description of the Drawings

[0053] Figure 1 It is a schematic flow chart of a precise fertilizer ratio production control system based on data analysis according to the present invention. Detailed Embodiments

[0054] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0055] Embodiment 1

[0056] Please refer to Figure 1 , the present invention provides a precise fertilizer ratio production control system based on data analysis. To achieve the above objectives, the present invention is realized through the following technical solutions: including a data acquisition module, a data analysis module, a nutrient content analysis module, a comprehensive algorithm module, and a fertilizer ratio regulation module;

[0057] The data acquisition module is used to directly obtain soil information data through the installed sensor group, obtain crop data through monitoring equipment and sampling analysis, and preprocess the collected data to obtain a crop growth environment data group;

[0058] The data analysis module is used to summarize and calculate the crop growth environment data group to obtain the soil microbial activity index Mai, the root respiration rate index Rrr, and the photosynthesis efficiency index Pei;

[0059] The nutrient content analysis module is used to summarize and calculate the obtained soil microbial activity index Mai, root respiration rate index Rrr, and photosynthesis efficiency index Pei, combined with soil humidity sd and environmental temperature wd, to obtain the nitrogen application demand F N , the phosphorus application demand F P and the potassium application demand F K ;

[0060] The comprehensive algorithm module is used to summarize and calculate the obtained nitrogen N, phosphorus P, and potassium K application demands to obtain a comprehensive fertilizer ratio index FIN, and conduct a preliminary evaluation with the obtained first fertilizer demand threshold A and second fertilizer demand threshold B;

[0061] The fertilizer ratio regulation module is used to construct a dynamic regulation model for regulating the fertilizer ratio to calculate the fertilizer ratio regulation coefficient FPB when it is preliminarily evaluated that the fertilizer ratio adjustment mechanism needs to be triggered, and summarize and calculate in combination with the comprehensive fertilizer ratio index FIN to obtain a comprehensive fertilizer demand coefficient FNC, and then conduct a secondary evaluation with the obtained first fertilizer demand threshold A and second fertilizer demand threshold B.

[0062] In this embodiment, the data acquisition module obtains multi-dimensional data of the soil and crops in real time through a sensor group and monitoring equipment. The pre-processed environmental data is used to calculate the soil microbial activity index Mai, the root respiration rate index Rrr, and the photosynthesis efficiency index Pei, comprehensively evaluating the growth status of the crops and the soil health status. This multi-dimensional and real-time data acquisition provides a scientific basis for fertilizer application, ensuring the accuracy and comprehensiveness of the data. The combination of the data analysis module and the nutrient content analysis module makes the fertilizer requirements of the soil and crops more accurate. Traditional fertilization methods often rely on experience or a single indicator, prone to problems of over-application or under-application. Through precise calculations, based on the soil microbial activity index Mai, the root respiration rate index Rrr, and the photosynthesis efficiency index Pei, the application requirements F N 、F P and F K of nitrogen, phosphorus, and potassium fertilizers are accurately calculated. The nutrient content analysis module also takes into account factors such as soil humidity sd and environmental temperature wd, further enhancing the scientificity and rationality of the fertilizer ratio. This innovative comprehensive analysis method solves the imbalance and blindness in traditional fertilization methods, significantly improving the growth efficiency of crops and the fertilizer utilization rate. The intelligent adjustment of the comprehensive algorithm module and the fertilizer ratio control module further optimizes the dynamic application of fertilizers. By calculating the comprehensive fertilizer ratio index FIN and the comprehensive fertilizer demand coefficient FNC, the fertilizer requirements of the crops can be evaluated in real time, determining whether the fertilization plan needs to be adjusted. This system not only adjusts the fertilizer amount according to the actual needs of the crops but also automatically triggers the control mechanism according to the preset fertilizer demand threshold, avoiding over-fertilization or under-fertilization. Compared with traditional manual fertilization, this system realizes precise control and automatic feedback, improving the precision of fertilization and crop yields, reducing fertilizer waste and environmental pollution, and promoting the green and sustainable development of agricultural production. Compared with current traditional fertilizer management methods, the intelligence, precision, and dynamic control of this system greatly improve agricultural production efficiency.

[0063] Embodiment 2

[0064] This embodiment is an explanatory description based on Embodiment 1. Please refer to Figure 1 , specifically: The data acquisition module includes a data acquisition unit and a data pre-processing unit;

[0065] The data acquisition unit is used to collect soil information data in real time through a sensor group inserted into the soil, collect air data in real time through a sensor group installed on the surface of the crops, and obtain crop data through monitoring equipment and sampling analysis of the crops;

[0066] The sensor group includes soil sensors, soil humidity sensors, temperature sensors, oxygen sensors, and carbon dioxide sensors;

[0067] The monitoring device includes a pH meter, a chlorophyll meter, and a quantum light meter;

[0068] The sampling and analysis are carried out by collecting samples of soil and crops, extracting a certain volume of soil sample V from the target area soil , separating the crops and the soil, washing the roots and counting the number of roots and measuring the dry mass Z of the roots roots , calculating the dry mass Z of the roots per unit soil volume roots , collecting all the leaves within a certain range, directly measuring the area mj of the plant leaves with a leaf area meter leaves , dividing the total leaf area by the ground surface area mj ground , directly obtaining the leaf area index ym; taking a certain amount of soil samples, drying them and grinding them into fine powder, weighing the weight zl of the dried soil samples soil , using the high-temperature burning method to measure the mass change after burning, obtaining the mass zl of the organic matter lorganic , and calculating the organic matter content yj;

[0069] The data preprocessing unit is used to perform verification, filtering, outlier detection, and dimensionless processing on the collected soil information data and crop data to obtain a crop growth environment data set;

[0070] The crop growth environment data set includes a soil nutrient content data set, a soil environment data set, a crop root respiration factor data set, and a photosynthetic efficiency data set;

[0071] The soil nutrient content data set includes nitrogen N content, phosphorus P content, and potassium K content;

[0072] The soil environment data set includes organic matter content yj, soil humidity sd, soil temperature tw, soil pH value, and environmental temperature wd;

[0073] The crop root respiration factor data set includes soil oxygen concentration O2, soil carbon dioxide concentration CO2, and root density rd;

[0074] The photosynthetic efficiency data set includes chlorophyll content yl, photosynthetically active radiation fs, leaf area index ym, and atmospheric carbon dioxide concentration dCO2.

[0075] In this embodiment, the data acquisition module not only utilizes a variety of sensors to obtain key information on soil and crops in real time, but also combines the sample analysis of soil and crops to ensure the comprehensiveness and accuracy of the data. The soil sensor group and monitoring equipment provide detailed data on soil nutrients, environmental conditions, and plant growth status, while the data preprocessing unit verifies and processes this data, eliminating noise and outliers and ensuring the reliability of the data. The resulting crop growth environment data set covers all aspects from soil nutrients to photosynthetic efficiency, enabling the system to comprehensively and accurately evaluate the growth status of plants. This comprehensive data acquisition and processing method not only improves the scientific nature and pertinence of fertilizer application, but also optimizes the fertilization plan, enhances the health and yield of crops, demonstrating significant improvements in the system in the field of intelligent agriculture.

[0076] Embodiment 3

[0077] This embodiment is an explanatory note based on Embodiment 2. Please refer to Figure 1 , specifically: The data analysis module includes a soil microbial activity calculation unit, a root respiration rate calculation unit, and a photosynthesis efficiency calculation unit;

[0078] The soil microbial activity calculation unit is used to perform summary calculations based on the obtained soil environment data set to obtain the soil microbial activity index Mai;

[0079] The soil microbial activity index Mai is obtained through the following formula;

[0080]

[0081] In the formula, 7.0 represents the neutral value of the soil pH.

[0082] The root respiration rate calculation unit is used to perform summary calculations based on the obtained crop root respiration factor data set to obtain the root respiration rate index Rrr;

[0083] The root respiration rate index Rrr is calculated and obtained through the following formula;

[0084]

[0085] In the formula, log represents the logarithmic function.

[0086] The photosynthesis efficiency calculation unit is used to perform summary calculations based on the obtained photosynthetic efficiency data set to obtain the photosynthesis efficiency index Pei;

[0087] The photosynthesis efficiency index Pei is calculated and obtained through the following formula;

[0088]

[0089] In the formula, a represents a correction constant.

[0090] In this embodiment, by introducing the soil microbial activity calculation unit, root respiration rate calculation unit, and photosynthesis efficiency calculation unit in the data analysis module, the soil microbial activity index Mai, root respiration rate index Rrr, and photosynthesis efficiency index Pei are calculated and obtained. The fertilizer precise proportioning production control system realizes refined and scientific fertilization management. The calculation of the soil microbial activity index Mai can effectively evaluate the biological activity of the soil and ensure that the fertilization plan meets the needs of the soil ecosystem. The root respiration rate index Rrr more accurately reflects the health status of plant roots through the calculation method of the logarithmic function, and then optimizes the fertilization strategy. The calculation of the photosynthesis efficiency index Pei improves the accuracy of photosynthesis data through the adjustment of the correction constant. The comprehensive application of these calculation units significantly improves the accuracy of fertilization decision-making, reduces resource waste, enhances the growth effect of crops, and thus provides a more scientific and efficient fertilization plan in modern agriculture.

[0091] Example 4

[0092] This embodiment is an explanatory description based on Embodiment 3. Please refer to Figure 1 , specifically: The nutrient content analysis module is used to extract the soil humidity sd and environmental temperature wd from the soil environmental data group according to the obtained soil microbial activity index Mai, root respiration rate index Rrr, and photosynthesis efficiency index Pei, and perform summary calculations to obtain the application demand F of nitrogen N N , the application demand F of phosphorus P P and the application demand F of potassium K K ;

[0093] The application demand F of nitrogen N N is calculated and obtained through the following formula;

[0094]

[0095] In the formula, ΔN represents the nutrient conversion efficiency coefficient of nitrogen fertilizer, N tar represents the ideal nitrogen content required by the crop at the current growth stage, Rrr max represents the maximum respiration rate of the crop roots, k1 represents the empirical coefficient for adjusting the relationship between the application demand of nitrogen fertilizer and the soil microbial activity index Mai, and k2 represents the empirical coefficient for adjusting the relationship between the application demand of nitrogen fertilizer and the root respiration rate Rrr;

[0096] The application demand F of phosphorus P P is calculated and obtained through the following formula;

[0097]

[0098] In the formula, ΔP represents the nutrient conversion efficiency coefficient of phosphate fertilizer, and P tar represents the ideal phosphorus content required by the crop at the current growth stage, and sd opt represents the ideal soil moisture value, k3 represents the empirical coefficient for adjusting the relationship between the phosphate fertilizer application demand and the photosynthesis efficiency index Pei, and k4 represents the empirical coefficient for adjusting the relationship between the phosphate fertilizer application demand and the soil moisture sd.

[0099] The application demand F of potassium K K is calculated and obtained through the following formula;

[0100]

[0101] In the formula, ΔK represents the nutrient conversion efficiency coefficient of potassium fertilizer, and K tar represents the ideal potassium content required by the crop at the current growth stage, and wd opt represents the optimal temperature for crop growth, and k5 represents the empirical coefficient for adjusting the relationship between the potassium fertilizer application demand and the environmental temperature wd.

[0102] In this embodiment, the nutrient content analysis module accurately calculates the application demand F of nitrogen N N , the application demand F of phosphorus P P and the application demand F of potassium K K , significantly improving the accuracy of fertilizer application. By adopting independent calculation formulas for nitrogen N, phosphorus P, and potassium K respectively, combined with the soil microbial activity index, root respiration rate, photosynthesis efficiency, and environmental factors such as soil moisture sd and environmental temperature wd, the system can accurately determine the specific requirements of crops for various nutrients at different growth stages. This method not only optimizes the fertilizer application demand, reduces resource waste, but also improves the growth effect and yield of crops. In particular, the nutrient conversion efficiency coefficients and empirical coefficients adopted in the system make the fertilizer ratio more in line with actual needs, improving the scientific and intelligent level of fertilization management. This precise fertilization strategy not only ensures the best growth environment for crops, but also provides a more efficient and sustainable solution for agricultural production.

[0103] Example 5

[0104] This embodiment is an explanatory description based on Example 4. Please refer to Figure 1 , specifically: The comprehensive algorithm module is used to summarize and calculate the application demand F of nitrogen N N , the application demand F of phosphorus P P and the application demand F of potassium K K to obtain the comprehensive fertilizer ratio index FIN;

[0105] The comprehensive fertilizer ratio index FIN is calculated and obtained through the following formula;

[0106] FIN = W N *F N +W P *F P +W K *F K ;

[0107] In the formula, W N , W P and W K respectively represent the weight coefficients of nitrogen N, phosphorus P, and potassium K. W N +W P +W K = 1, and 0 < W N < 0.33, 0 < W P < 0.35, 0 < W K < 0.32. The specific values are set by the user.

[0108] The fertilizer ratio requirement evaluation unit includes a threshold construction unit and a fertilizer ratio evaluation unit;

[0109] The threshold construction unit comprehensively constructs a plant fertilizer requirement threshold formula by analyzing the actual contents of nitrogen N, phosphorus P, and potassium K in the soil and simultaneously considering the different effects of different plants on nitrogen N, phosphorus P, potassium K, growth environment, and plant self-activity, and imports the actual nitrogen N, phosphorus P, potassium K, soil microbial activity index Mai, and root respiration rate index Rrr in the soil into the plant fertilizer requirement threshold formula to calculate and obtain the plant fertilizer requirement threshold;

[0110] The fertilizer requirement threshold is calculated and obtained through the following formula;

[0111]

[0112] In the formula, lx represents the plant type, and log represents the logarithmic function;

[0113] Since there are uncertain factors in the actual parameter collection and measurement process, resulting in certain fluctuations in the calculated plant fertilizer requirement threshold, a tolerance value is introduced to standardize the result, and a preset first fertilizer requirement threshold A and a second fertilizer requirement threshold B are set;

[0114]

[0115] In the formula, δ represents the tolerance value.

[0116] The fertilizer ratio evaluation unit is used to preliminarily compare and evaluate the preset first fertilizer demand threshold A and second fertilizer demand threshold B with the obtained comprehensive fertilizer ratio index FIN, and analyze the fertilizer application information. The specific evaluation scheme is as follows;

[0117] When the comprehensive fertilizer ratio index FIN is less than the first fertilizer demand threshold A, the fertilizer application demand does not meet the needs of the crops, and the fertilizer ratio adjustment mechanism is automatically triggered;

[0118] When the first fertilizer demand threshold A is less than or equal to the comprehensive fertilizer ratio index FIN and less than or equal to the second fertilizer demand threshold B, fertilization is carried out according to the standard and monitoring is maintained;

[0119] When the comprehensive fertilizer ratio index FIN is greater than the second fertilizer demand threshold B, the fertilizer application is excessive, and the fertilizer ratio adjustment mechanism is automatically triggered.

[0120] In this embodiment, the comprehensive algorithm module calculates the comprehensive fertilizer ratio index FIN by summarizing the application demand F of nitrogen N N , the application demand F of phosphorus P P and the application demand F of potassium K K . This process adopts the method of weight coefficients to ensure that the demands of different nutrients are reasonably reflected in the fertilization plan. The settings of these coefficients can be adjusted by the user according to the actual situation, enabling the system to flexibly adapt to different fertilization requirements. Through this method, the comprehensive fertilizer ratio index FIN not only accurately reflects the actual demands of various nutrients, but also optimizes the fertilization strategy, improving the scientificity and efficiency of fertilization. By establishing a special fertilizer demand evaluation formula through the threshold construction unit, the fertilizer application amount can respond in real time to the growth changes of the crops and can be flexibly adjusted according to the preset first fertilizer demand threshold A and second fertilizer demand threshold B. This dynamic adjustment mechanism not only ensures the accuracy of fertilizer application, but also avoids the problems of over-fertilization or under-fertilization, significantly improving the utilization efficiency of fertilizers, reducing resource waste and environmental pollution, and thus promoting the development of agricultural production towards a more efficient, green and sustainable direction. This precise and personalized fertilization plan significantly improves the growth conditions of the crops while reducing resource waste, showing significant improvement effects compared with traditional fertilization methods.

[0121] Example 6

[0122] This embodiment is an explanatory description based on Embodiment 5. Please refer to Figure 1 , specifically: The fertilizer ratio control module is used to adjust the fertilizer ratio when the comprehensive fertilizer ratio index FIN is less than the first fertilizer demand threshold A and greater than the second fertilizer demand threshold B;

[0123] The fertilizer ratio regulation module includes a regulation formula construction unit and a fertilizer demand analysis unit;

[0124] The regulation formula construction unit constructs a dynamic fertilizer ratio regulation model through comprehensive analysis of data on soil microbial activity, root activity, photosynthesis efficiency, soil density, etc., and adjusts it according to the actual soil and crop conditions. Regularly collect crop growth and soil environment data, conduct feedback analysis on the ratio effect, set adjustment factors, and then input the obtained comprehensive fertilizer ratio index FIN, soil microbial activity index Mai, root respiration rate index Rrr, and photosynthesis efficiency index Pei into the dynamic fertilizer ratio regulation model to calculate the fertilizer ratio regulation coefficient FPB;

[0125] The calculation formula for the fertilizer ratio regulation coefficient FPB is as follows;

[0126]

[0127] In the formula, α, β, γ, and δ represent adjustment factors, and Rrr max represents the maximum respiration rate of crop roots, and sd opt represents the ideal soil moisture value.

[0128] The fertilizer demand analysis unit includes a comprehensive fertilizer demand calculation unit and a fertilizer demand evaluation unit;

[0129] It is used to summarize the obtained comprehensive fertilizer ratio index FIN and fertilizer ratio regulation coefficient FPB, analyze the regulated fertilizer application amount, and calculate the comprehensive fertilizer demand coefficient FNC;

[0130] The comprehensive fertilizer demand coefficient FNC is calculated through the following formula;

[0131]

[0132] In the formula, ln represents the logarithmic function.

[0133] The fertilizer demand evaluation unit is used to preset a first fertilizer demand threshold A and a second fertilizer demand threshold B, and compare and evaluate them with the obtained comprehensive fertilizer demand coefficient FNC to analyze the fertilizer application information. The specific evaluation scheme is as follows;

[0134] When the comprehensive fertilizer demand coefficient FNC is less than the first fertilizer demand threshold A, it means that the fertilizer application demand does not meet the crop's needs. At this time, further adjust the fertilizer dosage, and conduct iterative analysis through the nutrient content analysis module until the fertilizer ratio can meet the actual needs of the crop;

[0135] When the first fertilizer demand threshold A is less than or equal to the comprehensive fertilizer demand coefficient FNC which is less than or equal to the second fertilizer demand threshold B, it indicates that the fertilizer application demand meets the requirements of the crops. At this time, fertilization is carried out according to the standard and monitoring is maintained;

[0136] When the comprehensive fertilizer demand coefficient FNC is greater than the second fertilizer demand threshold B, it indicates that the fertilizer application demand exceeds the standard. At this time, the fertilizer dosage is further adjusted, and the result is iteratively analyzed through the nutrient content analysis module until the fertilizer ratio can meet the actual requirements of the crops.

[0137] In this embodiment, the core innovation of the fertilizer ratio regulation module lies in the regulation formula construction unit, which comprehensively considers multiple environmental parameters such as soil microbial activity, root respiration rate, photosynthesis efficiency, and soil humidity, and constructs a highly dynamic and adjustable fertilizer ratio model. This model not only adjusts in real time according to the actual growth requirements of the crops, but also continuously optimizes the fertilization plan according to the changes in the soil and external environmental conditions. Through continuous collection and feedback analysis of soil data and crop data during the crop growth cycle, the system can adapt to different growth stages of the crops, achieve precise fertilization, thereby increasing crop yield and quality. The fertilizer demand analysis unit calculates the comprehensive fertilizer demand coefficient FNC and compares and evaluates it with the preset first fertilizer demand threshold A and second fertilizer demand threshold B, so that the fertilizer application amount can reflect the actual requirements of the crops in real time. When the system detects that the comprehensive fertilizer demand coefficient FNC exceeds the range of the set first fertilizer demand threshold A and second fertilizer demand threshold B, the system automatically triggers the adjustment mechanism, avoiding the phenomenon of excessive fertilizer application. This precise regulation mechanism ensures the scientificity and precision of fertilization, not only meeting the nutritional requirements of the crops, but also minimizing the negative impact on the environment to the greatest extent. The implementation of this system not only solves the problems brought by human factors, lack of experience or inaccurate fertilization in traditional fertilization methods, but also realizes the intelligent and automatic control of fertilizer application through real-time data collection and feedback adjustment. Compared with traditional fertilization methods, the system has significant advantages, not only improving the utilization efficiency of fertilizers, reducing resource waste, but also optimizing the growth environment of crops and promoting the sustainable development of agricultural production. Finally, through precise fertilizer ratio and intelligent regulation, the system effectively improves the overall efficiency of agricultural production and promotes the development of modern agriculture towards the direction of intelligence and greenness.

[0138] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A fertilizer precise ratio production control system based on data analysis, characterized in that: It includes a data acquisition module, a data analysis module, a nutrient content analysis module, a comprehensive algorithm module, and a fertilizer ratio regulation module; The data acquisition module is used to obtain soil information data through the installed sensor group, and obtain crop data through monitoring equipment and sampling analysis, and perform preprocessing to obtain a crop growth environment data group; The data analysis module is used to summarize and calculate the crop growth environment data group to obtain a soil microbial activity index, a root respiration rate index, and a photosynthesis efficiency index; The nutrient content analysis module is used to summarize and calculate the obtained soil microbial activity index, root respiration rate index, and photosynthesis efficiency index, combined with soil humidity and environmental temperature, to obtain the nitrogen application demand, phosphorus application demand, and potassium application demand; The comprehensive algorithm module is used to summarize and calculate the obtained nitrogen, phosphorus, and potassium application demands to obtain a comprehensive fertilizer ratio index, and conduct a preliminary evaluation with the obtained first fertilizer demand threshold and second fertilizer demand threshold; When the preliminary evaluation requires triggering the fertilizer ratio adjustment mechanism, the fertilizer ratio regulation module is used to construct a dynamic regulation model for regulating the fertilizer ratio to calculate the fertilizer ratio regulation coefficient, and summarize and calculate it in combination with the comprehensive fertilizer ratio index to obtain a comprehensive fertilizer demand coefficient, and then conduct a secondary evaluation with the obtained first fertilizer demand threshold and second fertilizer demand threshold.

2. The fertilizer precise ratio production control system based on data analysis according to claim 1, characterized in that: The data acquisition module includes a data acquisition unit and a data preprocessing unit; The data acquisition unit is used to collect soil information data in real time through the sensor group inserted into the soil, collect air data in real time through the sensor group installed on the surface of the crop, and obtain crop data through monitoring equipment and sampling analysis of the crop; The sensor group includes a soil sensor, a soil humidity sensor, a temperature sensor, an oxygen sensor, and a carbon dioxide sensor; The monitoring equipment includes a pH meter, a chlorophyll meter, and a quantum photometer; For the sampling analysis, soil and crop samples are collected, a certain volume of soil sample is extracted from the target area, the crop and soil are separated, the roots are washed and the number of roots is counted and the dry mass of the roots is measured, and the dry mass of the roots per unit soil volume is calculated to obtain the root density; all leaves within a certain range are collected, the area of the plant leaves is directly measured by a leaf area meter, and the total leaf area is divided by the ground surface area to directly obtain the leaf area index; a certain amount of soil sample is taken, dried and ground into fine powder, the weight of the dried soil sample is weighed, and the mass change after high-temperature burning is measured by the high-temperature burning method to obtain the mass of the organic matter and calculate the organic matter content; The data preprocessing unit is used to perform verification, filtering, outlier detection, and dimensionless processing on the collected soil information data and crop data to obtain a crop growth environment data group; The crop growth environment data group includes a soil nutrient content data group, a soil environment data group, a crop root respiration factor data group, and a photosynthesis efficiency data group; The soil nutrient content data group includes nitrogen content, phosphorus content, and potassium content; The soil environmental data group includes organic matter content, soil humidity, soil temperature, soil pH value, and environmental temperature; The crop root respiration factor data group includes soil oxygen concentration, soil carbon dioxide concentration, and root density; The photosynthetic efficiency data group includes chlorophyll content, photosynthetically active radiation, leaf area index, and atmospheric carbon dioxide concentration.

3. The fertilizer precise proportioning production control system based on data analysis according to claim 2, characterized in that: The data analysis module includes a soil microbial activity calculation unit, a root respiration rate calculation unit, and a photosynthesis efficiency calculation unit; The soil microbial activity calculation unit is used to obtain a preliminary value of microbial activity by dividing the product of the organic matter content and soil humidity by the soil temperature based on the acquired soil environmental data group, and then correct it according to the deviation between the soil pH value and the neutral value, reflecting the activity level of microorganisms in the soil. By comprehensively considering the influencing factors of organic matter content, humidity, temperature, and pH value in the soil, the soil microbial activity index is calculated; The root respiration rate calculation unit is used to multiply the logarithm of the oxygen concentration in the soil by the root density based on the acquired crop root respiration factor data group to obtain a reference value of the root respiration rate, and adjust it with the carbon dioxide concentration, reflecting the root respiration status. By combining the oxygen and carbon dioxide concentrations and root density in the soil, the root respiration rate index is calculated; The photosynthesis efficiency calculation unit is used to multiply the chlorophyll content by the square root of the light intensity and leaf area and adjust it in combination with the atmospheric carbon dioxide concentration based on the acquired photosynthetic efficiency data group to obtain a comprehensive index of photosynthesis efficiency, and calculate the photosynthesis efficiency index.

4. A fertilizer precise proportioning production control system based on data analysis according to claim 3, characterized in that: The nutrient content analysis module is used to extract the soil humidity and environmental temperature from the acquired soil microbial activity index, root respiration rate index, and photosynthesis efficiency index, and perform a summary calculation to obtain the application demand for nitrogen, the application demand for phosphorus, and the application demand for potassium; The specific methods for obtaining the application demand for nitrogen, the application demand for phosphorus, and the application demand for potassium are as follows; The system calculates the difference between the ideal nitrogen content of the crop at the current growth stage and the actual nitrogen content in the current soil to form a basic demand, and sets a nutrient conversion efficiency coefficient. Based on the correlation between the soil microbial activity index and the nitrogen demand, an empirical coefficient is introduced to dynamically adjust the nitrogen demand. Based on the correlation between the root respiration rate index and the maximum root respiration rate and the nitrogen demand, a second empirical coefficient is introduced again to further correct the nitrogen demand to adapt to the impact of root activity changes on the nitrogen demand, and the application demand for nitrogen is obtained through summary; The system calculates the difference between the ideal phosphorus content of the crop at the current growth stage and the actual phosphorus content in the current soil to form a basic demand, and sets a nutrient conversion efficiency coefficient for phosphate fertilizer, reflecting the efficiency of phosphate fertilizer conversion into absorbable phosphorus; Based on the influence between the photosynthesis efficiency index and the phosphorus demand, a third empirical coefficient is introduced, and the phosphorus demand is adjusted through the product term of the photosynthesis efficiency index and the empirical coefficient to adapt to the change in the photosynthesis level of the crop; By introducing a fourth empirical coefficient to correct the influence of soil moisture and the ideal moisture and phosphorus demand, dynamically adjust the phosphorus demand, and summarize to obtain the required phosphorus application amount; The system calculates the difference between the ideal potassium content of the crop at the current growth stage and the actual potassium content in the current soil to form a basic demand, quantifies the basic demand, then introduces the environmental temperature and the optimal temperature, and combines with a fifth empirical coefficient to form a correction term to dynamically adjust the potassium demand with temperature changes, and summarizes to obtain the required potassium application amount.

5. The fertilizer precise ratio production control system based on data analysis according to claim 4, characterized in that: The comprehensive algorithm module includes a fertilizer ratio calculation unit and a fertilizer ratio demand evaluation unit; The fertilizer ratio calculation unit is used to perform weighted aggregation calculation on the obtained required nitrogen application amount, required phosphorus application amount, and required potassium application amount to obtain a comprehensive fertilizer ratio index.

6. The fertilizer precise proportioning production control system based on data analysis according to claim 5, characterized in that: The fertilizer ratio demand evaluation unit includes a threshold construction unit and a fertilizer ratio evaluation unit; The threshold construction unit comprehensively constructs a plant fertilizer demand threshold formula by analyzing the actual nitrogen, phosphorus, and potassium contents in the soil and simultaneously considering the different effects of different plants on nitrogen, phosphorus, potassium, the growth environment, and the plant's own activity, and imports the actual nitrogen, phosphorus, potassium, soil microbial activity index, and root respiration rate index in the soil into the plant fertilizer demand threshold formula to calculate and obtain the plant fertilizer demand threshold; Due to the existence of uncertain factors between the measurement results and the actual results during the actual parameter collection and measurement process, there are certain fluctuations in the calculated plant fertilizer demand threshold. A tolerance value is introduced to standardize the results, and a first fertilizer demand threshold and a second fertilizer demand threshold are preset.

7. The fertilizer precise proportioning production control system based on data analysis according to claim 6, characterized in that: The fertilizer ratio evaluation unit is used to preliminarily compare and evaluate the preset first fertilizer demand threshold and second fertilizer demand threshold with the obtained comprehensive fertilizer ratio index, and analyze the fertilizer application information. The specific evaluation scheme is as follows; When the comprehensive fertilizer ratio index is less than the first fertilizer demand threshold, the required fertilizer application amount does not meet the crop's demand, and the fertilizer ratio adjustment mechanism is automatically triggered; When the first fertilizer demand threshold is less than or equal to the comprehensive fertilizer ratio index and less than or equal to the second fertilizer demand threshold, fertilize according to the standard at this time and maintain monitoring; When the comprehensive fertilizer ratio index is greater than the second fertilizer demand threshold, the fertilizer application is excessive, and the fertilizer ratio adjustment mechanism is automatically triggered.

8. A fertilizer precise ratio production control system based on data analysis according to claim 7, characterized in that: The fertilizer ratio regulation module is used to adjust the fertilizer ratio when the comprehensive fertilizer ratio index is less than the first fertilizer demand threshold and greater than the second fertilizer demand threshold; The fertilizer ratio regulation module includes a regulation formula construction unit and a fertilizer demand analysis unit; The regulation formula construction unit comprehensively analyzes data on soil microbial activity, root activity, photosynthesis efficiency, soil density, etc. to construct a dynamic fertilizer ratio regulation model, adjusts it according to the actual soil and crop conditions, regularly collects crop growth and soil environment data, conducts feedback analysis on the ratio effect, sets adjustment factors, and then inputs the obtained comprehensive fertilizer ratio index, soil microbial activity index, root respiration rate index, and photosynthesis efficiency index into the dynamic fertilizer ratio regulation model to calculate the fertilizer ratio regulation coefficient.

9. The fertilizer precise proportioning production control system based on data analysis according to claim 8, characterized in that: The fertilizer demand analysis unit includes a comprehensive fertilizer demand calculation unit and a fertilizer demand assessment unit; It is used to summarize the obtained comprehensive fertilizer ratio index and fertilizer ratio regulation coefficient, analyze the regulated fertilizer application amount, and calculate and obtain the comprehensive fertilizer demand coefficient.

10. A fertilizer precise ratio production control system based on data analysis according to claim 9, characterized in that: The fertilizer demand assessment unit is used to preset a first fertilizer demand threshold and a second fertilizer demand threshold, and compare and evaluate them with the obtained comprehensive fertilizer demand coefficient, and analyze the fertilizer application information. The specific evaluation scheme is as follows; When the comprehensive fertilizer demand coefficient is less than the first fertilizer demand threshold, it means that the fertilizer application demand does not meet the needs of the crops, and iterative analysis is carried out through the nutrient content analysis module; When the first fertilizer demand threshold is less than or equal to the comprehensive fertilizer demand coefficient and less than or equal to the second fertilizer demand threshold, it means that the fertilizer application demand meets the needs of the crops; When the comprehensive fertilizer demand coefficient is greater than the second fertilizer demand threshold, it means that the fertilizer application demand exceeds the standard, and iterative analysis is carried out through the nutrient content analysis module.

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