A nutrient optimization method for compound fertilizer production based on industrial data

Abstract

The present invention discloses a nutrient optimization method for compound fertilizer production based on industrial data, which relates to the technical field of compound fertilizer production. First, the problem of unbalanced nutrient release is solved. Through steps S1 and S2, the compound fertilizer production process is decomposed, soil and crop growth-related data are collected, and image data processing technology is combined to calculate the plant growth rate Gs and the nutrient supply and demand difference Ns. Through the evaluation of a first supply and demand difference threshold Q1 and a second supply and demand difference threshold Q2, the nutrient release rate is adjusted in time to ensure that the nutrients match the crop growth cycle and avoid nutrient excess or deficiency. Secondly, through step S3, the trace element requirement Mn is calculated and evaluated to solve the problem of trace element deficiency, and the trace element supply is adjusted in time to ensure that the crops obtain the required support. Finally, through step S4, the nutrient loss compensation index Li is calculated, nutrient loss is estimated, and fertilization is adjusted, thereby improving the applicability of the compound fertilizer under complex climatic conditions.

Description

Technical Field

[0001] The invention relates to the technical field of compound fertilizer production, and in particular to a compound fertilizer production nutrient optimization method based on industrial data. Background Art

[0002] Compound fertilizer production technology originated in the early 20th century, initially developed to improve crop yields and soil fertility. With increasing agricultural demand, compound fertilizer technology has gradually evolved, from simple nitrogen, phosphorus, and potassium mixtures to precisely formulated, multi-component compound fertilizers. Modern compound fertilizer production technology encompasses a variety of processes, including chemical reactions, physical mixing, and granulation, enabling customized nutrient ratios tailored to the needs of different crops. In recent years, green compound fertilizer production techniques have also gained attention, reducing pollutant emissions during the production process.

[0003] Compound fertilizers are widely used in various fields of agricultural production, including landscaping. Their balanced nutrient supply plays an important role in crop growth, yield improvement, and quality improvement. However, in actual application, they have the following technical shortcomings:

[0004] 1. Unbalanced nutrient release: The nutrient release rate of traditional compound fertilizers is difficult to fully match the plant's growth cycle, which can easily lead to nutrient release that is too fast or too slow. For example, in the early stages, excessive nitrogen release may cause plant growth to be too long and affect root development, while in the later stages, insufficient nutrient supply may affect plant growth.

[0005] 2. Lack of trace elements: Compound fertilizers usually focus on the three major elements of nitrogen, phosphorus and potassium, while the content of trace elements required for plant growth (such as zinc, boron, iron, etc.) is less or ignored. Long-term use may lead to the lack of trace elements in the soil and affect the healthy growth of plants. Especially in landscaping, the lack of trace elements may cause yellowing of plant leaves or slow growth.

[0006] 3. Nutrient loss problem: Compound fertilizers are prone to nutrient loss under certain conditions, especially in gardens with heavy rain or well-drained soil. Soluble elements such as nitrogen and potassium may be lost due to leaching, resulting in the plants failing to fully absorb the required nutrients, affecting the greening effect and the healthy growth of plants. Summary of the Invention

[0007] In view of the shortcomings of the existing technology, the present invention provides a nutrient optimization method for compound fertilizer production based on industrial data, which solves the technical shortcomings of the background technology such as uneven nutrient release, trace element deficiency and nutrient loss.

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions: A method for optimizing nutrients in compound fertilizer production based on industrial data, comprising the following steps:

[0009] S1. Decompose the compound fertilizer production process into several key nutrient release stages, collect soil and crop growth data for each stage through different data channels, and preprocess and feature extract these soil and crop growth data to establish a data set related to compound fertilizer production;

[0010] S2. Analyze the crop growth cycle through image data processing technology, collect crop image data, and use image recognition technology to extract crop growth-related data to calculate the current plant growth rate Gs. Then, through image analysis, further combine the fertilizer residue Fn on the soil surface with the nitrogen content Fr on the crop leaves to obtain and evaluate the nutrient supply and demand difference Ns at the current stage. Finally, take corresponding measures to adjust the nutrient release effect based on the evaluation of the nutrient supply and demand difference Ns.

[0011] S3. By extracting a data set related to compound fertilizer production, further calculate and evaluate the comprehensive nutrient release imbalance coefficient Nri; then extract the trace element related data from the data set related to compound fertilizer production, respectively obtain and fit the zinc content Zn, boron content Bn, and iron content Fen, and then obtain and evaluate the trace element requirement Mn for crop growth. By comparing the actual demand and supply, adjust the ratio of trace elements in the compound fertilizer;

[0012] S4. Based on the analysis of soil characteristics and climate conditions, the nutrient loss rate Lr, soil moisture content Sd and rainfall Ra are collected and correlated, and finally the nutrient loss compensation index Li is generated;

[0013] S5, comprehensive nutrient release imbalance coefficient Nri, trace requirement Mn and nutrient loss compensation index Li, analyze the nutrient optimization index Nci of current compound fertilizer production, and preset the first optimization threshold Y1 and the second optimization threshold Y2, compare and evaluate with the nutrient optimization index Nci, and finally take corresponding production adjustment measures based on the evaluation results.

[0014] Preferably,

[0015] S1. The entire compound fertilizer production process is decomposed according to the key nutrient release stage; at the same time, each key nutrient release is divided according to the crop growth cycle and required nutrition; secondly, data related to fertilizer, soil and crop growth are collected through different channels, including data related to soil element content, crop growth rate, soil nutrient data and fertilizer release data; finally, the collected fertilizer, soil and crop growth-related data are cleaned, standardized and dimensionless, and a data set related to compound fertilizer production is established.

[0016] Preferably,

[0017] S2 includes S21 and S22, specifically:

[0018] S21. Combined with image recognition technology, crop growth-related data, including leaf area index Pe, plant crown width Et, and leaf inclination angle Rg, are extracted; the current plant growth rate Gs is obtained by calculation. The specific formula is as follows:

[0019] Gs=a1×Pe+a2×Et+a3×Rg;

[0020] Where a1, a2 and a3 represent the weight coefficients of leaf area index Pe, plant crown width Et and leaf inclination angle Rg, respectively, and a1+a2+a3=1, 0≤a1<1, 0≤a2<1, 0≤a3<1;

[0021] Then, the extraction is further combined with the fertilizer residue Fn on the soil surface and the nitrogen content Fr on the crop leaves, and is associated with the plant growth rate Gs to obtain the nutrient supply and demand difference Ns through the following formula:

[0022] Preferably,

[0023] S22. Evaluate the nutrient supply and demand difference Ns by presetting a first supply and demand difference threshold Q1 and a second supply and demand difference threshold Q2, and take corresponding measures, wherein the first supply and demand difference threshold Q1 is greater than the second supply and demand difference threshold Q2. The specific contents are as follows:

[0024] If the nutrient supply-demand difference Ns is greater than the first supply-demand difference threshold Q1, it indicates that the fertilizer release rate at the current stage is abnormal, indicating insufficient nutrient supply. In this case, the fertilizer amount and fertilization frequency are increased by 10% on the original basis.

[0025] If the first supply-demand difference threshold Q1 ≥ nutrient supply-demand difference Ns > the second supply-demand difference threshold Q2, it means that the nutrient supply at the current stage is normal and no measures are needed;

[0026] If the second supply-demand difference threshold Q2 ≥ nutrient supply-demand difference Ns, it means that the fertilizer release amount in the current stage is abnormal and exceeds the demand of the crop, indicating that there is a nutrient surplus; at this time, the fertilizer amount and fertilization frequency should be reduced by 10% on the original basis.

[0027] Preferably,

[0028] S3 includes S31, S32 and S33, specifically:

[0029] S31. Extracting the release rate of the three major nutrient elements of crops within a fixed period and the optimal release amount required during crop growth from a data set related to compound fertilizer production, including nitrogen release amount N1, phosphorus release amount Pl, potassium release amount K1, optimal nitrogen release amount Nopt, optimal phosphorus release amount Popt, and optimal potassium release amount Kopt;

[0030] The calculation formula of the comprehensive nutrient release imbalance coefficient Nri is as follows:

[0031]

[0032] Preferably,

[0033] S32: Compare and evaluate the preset nutrient release imbalance threshold W with the comprehensive nutrient release imbalance coefficient Nri. The specific contents are as follows:

[0034] When the nutrient release imbalance threshold W ≥ the comprehensive nutrient release imbalance coefficient Nri, it means that the release of the three major nutrient elements in the current compound fertilizer is normal and meets the growth needs of crops;

[0035] When the nutrient release imbalance threshold W is less than the comprehensive nutrient release imbalance coefficient Nri, it indicates that the release of the three major nutrient elements in the current compound fertilizer is abnormal. At this time, further analysis of the trace elements in the compound fertilizer is required.

[0036] Preferably,

[0037] S33. Calculate the trace requirement Mn using the following formula:

[0038] Mn=Zn+Bn+Fen;

[0039] By comparing and evaluating the preset trace supply threshold E with the trace requirement Mn, the ratio of trace elements in the compound fertilizer is adjusted. The specific contents are as follows:

[0040] When the trace supply threshold E ≥ trace requirement Mn, it means that the supply of trace elements in the current compound fertilizer meets the growth needs of crops;

[0041] When the trace supply threshold E is less than the trace requirement Mn, it means that the supply of trace elements in the current compound fertilizer is insufficient and cannot meet the needs of crops; then the content of zinc Zn, boron Bn and iron Fen is increased by 10% on the original basis.

[0042] Preferably,

[0043] S4. By extracting relevant data from the compound fertilizer production-related data set and using soil property analysis and climate condition analysis, the nutrient loss rate Lr, soil moisture content Sd, and rainfall Ra are obtained, and the nutrient loss compensation index Li is calculated using the following formula:

[0044]

[0045] Where n represents the number of sampling points, Lr i Nutrient loss rate at the i-th sampling point, Sd i Indicates the soil moisture content at the i-th sampling point, Rai represents the rainfall at the i-th sampling point.

[0046] Preferably,

[0047] S5 includes: S51, the specific calculation formula of nutrient optimization index Nci is as follows:

[0048] Nci=Nri+Mn+Li.

[0049] Preferably,

[0050] S5 further includes: S52, by presetting a first optimization threshold value Y1 and a second optimization threshold value Y2, and the first optimization threshold value Y1 is greater than the second optimization threshold value Y2, comparing and evaluating with the nutrient optimization index Nci, and taking corresponding production adjustment measures. The specific evaluation contents are as follows:

[0051] When the nutrient optimization index Nci is greater than the first optimization threshold Y1, it indicates that there is an imbalance in the nutrient release, trace element ratio, or nutrient loss compensation in the current compound fertilizer, which affects the nutrient absorption of crops and leads to yield decline and growth problems. At this time, adjustments must be made, including adjustments to the nutrient release and trace element ratio in the compound fertilizer.

[0052] When the second optimization threshold Y2 is less than the nutrient optimization index Nci and less than the first optimization threshold Y1, it indicates that there is an imbalance in the nutrient release, trace element ratio, or nutrient loss compensation in the current compound fertilizer, but it does not affect the nutrient absorption of crops. In this case, it is necessary to adjust the release of some nutrients or the trace element ratio.

[0053] When the nutrient optimization index Nci ≤ the second optimization threshold Y2, it means that the nutrient release, trace element supply and nutrient loss compensation of the compound fertilizer are all in a balanced state; at this time, the production formula of the compound fertilizer is reasonable and meets the growth needs of crops, and no large-scale adjustment is required.

[0054] The present invention provides a method for optimizing nutrients in compound fertilizer production based on industrial data. It has the following beneficial effects:

[0055] (1) This method for optimizing the production of compound fertilizers based on industrial data first solves the problem of unbalanced nutrient release. Through steps S1 and S2, the compound fertilizer production process is decomposed into several key nutrient release stages, soil and crop growth-related data are collected and combined with image data processing technology to extract the plant growth rate Gs, and the nutrient supply and demand difference Ns is further calculated by combining the fertilizer residue Fn on the soil surface and the nitrogen content Fr on the crop leaves. The nutrient supply and demand difference Ns is evaluated by presetting a first supply and demand difference threshold Q1 and a second supply and demand difference threshold Q2. When the nutrient supply and demand difference Ns is greater than the first supply and demand difference threshold Q1 or less than the second supply and demand difference threshold Q2, the nutrient release rate and ratio can be adjusted in time to ensure that the nutrient release matches the crop growth cycle. Through this precise control, insufficient or excessive nutrient supply is avoided, and the growth efficiency of crops is improved.

[0056] (2) This method for optimizing the nutrient content of compound fertilizer production based on industrial data solves the problem of trace element deficiency. The trace element related data in the compound fertilizer production related data set are extracted through step S3, including zinc content Zn, boron content Bn and iron content Fen, and analyzed and evaluated in combination with the trace demand Mn. The preset trace supply threshold E is used for comparative evaluation. When the trace demand Mn is greater than the trace supply threshold E, the supply of trace elements in the compound fertilizer can be increased in time to ensure that the three major nutrients of zinc, boron and iron can meet the growth needs of crops. This adjustment mechanism effectively improves the precise supply of trace elements in the compound fertilizer, ensures that crops obtain the required trace element support, avoids the impact of trace element deficiency on crop growth, and optimizes the use effect of the compound fertilizer.

[0057] (3) This method of optimizing the nutrient production of compound fertilizer based on industrial data finally solves the problem of nutrient loss. Through step S4, combined with soil property analysis and climate condition analysis, the nutrient loss rate Lr, soil moisture content Sd and rainfall Ra are collected, and the nutrient loss compensation index Li is calculated. The nutrient loss compensation index Li can accurately predict the nutrient loss caused by water loss and take corresponding compensation measures. When the nutrient loss is serious, the amount or frequency of compound fertilizer application is adjusted to avoid excessive nutrient loss and ensure that crops can continue to obtain sufficient nutrient support. This nutrient loss compensation mechanism based on data analysis effectively improves the applicability of compound fertilizer under complex climatic conditions and avoids the problem of nutrient deficiency caused by environmental factors. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 The present invention is a schematic flow chart of the steps of a method for optimizing nutrients in compound fertilizer production based on industrial data. DETAILED DESCRIPTION

[0059] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only 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 making creative efforts are within the scope of protection of the present invention.

[0060] Example 1

[0061] See also Figure 1 , a method for optimizing nutrients in compound fertilizer production based on industrial data, comprising the following steps:

[0062] S1. Decompose the compound fertilizer production process into several key nutrient release stages, collect soil and crop growth data for each stage through different data channels, and preprocess and feature extract these soil and crop growth data to establish a data set related to compound fertilizer production;

[0063] S2. Analyze the crop growth cycle through image data processing technology, collect crop image data, and use image recognition technology to extract crop growth-related data to calculate the current plant growth rate Gs. Then, through image analysis, further combine the fertilizer residue Fn on the soil surface with the nitrogen content Fr on the crop leaves to obtain and evaluate the nutrient supply and demand difference Ns at the current stage. Finally, take corresponding measures to adjust the nutrient release effect based on the evaluation of the nutrient supply and demand difference Ns.

[0064] S3. By extracting a data set related to compound fertilizer production, further calculate and evaluate the comprehensive nutrient release imbalance coefficient Nri; then extract the trace element related data from the data set related to compound fertilizer production, respectively obtain and fit the zinc content Zn, boron content Bn, and iron content Fen, and then obtain and evaluate the trace element requirement Mn for crop growth. By comparing the actual demand and supply, adjust the ratio of trace elements in the compound fertilizer;

[0065] S4. Based on the analysis of soil characteristics and climate conditions, the nutrient loss rate Lr, soil moisture content Sd and rainfall Ra are collected and correlated to generate the nutrient loss compensation index Li;

[0066] S5, comprehensive nutrient release imbalance coefficient Nri, trace requirement Mn and nutrient loss compensation index Li, analyze the nutrient optimization index Nci of current compound fertilizer production, and preset the first optimization threshold Y1 and the second optimization threshold Y2, compare and evaluate with the nutrient optimization index Nci, and finally take corresponding production adjustment measures based on the evaluation results.

[0067] In this embodiment, the compound fertilizer production process is decomposed into key nutrient release stages through step S1, and soil and crop growth data are collected and preprocessed to establish a data set related to compound fertilizer production, which can accurately grasp the dynamic situation of nutrient release; through step S2, the crop growth cycle is analyzed, the plant growth rate Gs is calculated, and the nutrient supply and demand difference Ns is obtained and evaluated in combination with the fertilizer requirement Fn and the fertilizer release rate Fr, which can effectively adjust the nutrient release effect and ensure the balance between supply and demand; step S3 extracts trace element data such as zinc content Zn, boron content Bn and iron content Fen, and combines the comprehensive nutrient release imbalance coefficient Nri, adjust the ratio of trace elements in compound fertilizer to ensure that crops get the required trace element support during the growth period; step S4 collects nutrient loss rate Lr, soil moisture content Sd and rainfall Ra, and generates nutrient loss compensation index Li, which can accurately evaluate and compensate nutrient loss to ensure that crop nutrients are not affected by the external environment; step S5 comprehensively analyzes the nutrient release imbalance coefficient Nri, trace demand Mn and nutrient loss compensation index Li, and compares them with the first optimization threshold Y1 and the second optimization threshold Y2, which can accurately determine whether the production formula of compound fertilizer is reasonable, adjust the formula in time, and optimize nutrient supply.

[0068] Example 2

[0069] S1. The entire compound fertilizer production process is decomposed according to the key nutrient release stage; at the same time, each key nutrient release is divided according to the crop growth cycle and required nutrition; secondly, data related to fertilizer, soil and crop growth are collected through different channels, including data related to soil element content, crop growth rate, soil nutrient data and fertilizer release data; finally, the collected fertilizer, soil and crop growth-related data are cleaned, standardized and dimensionless, and a data set related to compound fertilizer production is established.

[0070] In this embodiment, the entire compound fertilizer production process is decomposed according to the key nutrient release stages through step S1, and divided in combination with the crop growth cycle and required nutrition, so as to ensure that the nutrient release at different stages accurately matches the growth needs of the crops; at the same time, fertilizer, soil and crop growth-related data are collected through multiple channels, including soil element content-related data, crop growth rate-related data, soil nutrient-related data and fertilizer release-related data, so as to fully grasp the dynamic changes in nutrient supply and soil status; by cleaning, standardizing and dimensionlessly processing the collected data, the consistency and accuracy of the data are ensured, external interference factors are eliminated, and finally a data set related to compound fertilizer production is established, which can provide reliable basic data support for subsequent nutrient optimization and decision-making, and improve the accuracy and efficiency of compound fertilizer production.

[0071] Example 3

[0072] S2 includes S21 and S22, specifically:

[0073] S21. Combined with image recognition technology, crop growth-related data, including leaf area index Pe, plant crown width Et, and leaf inclination angle Rg, are extracted; the current plant growth rate Gs is obtained by calculation. The specific formula is as follows:

[0074] Gs=a1×Pe+a2×Et+a3×Rg;

[0075] Where a1, a2 and a3 represent the weight coefficients of leaf area index Pe, plant crown width Et and leaf inclination angle Rg, respectively, and a1+a2+a3=1, 0≤a1<1, 0≤a2<1, 0≤a3<1;

[0076] Then, the extraction is further combined with the fertilizer residue Fn on the soil surface and the nitrogen content Fr on the crop leaves, and is associated with the plant growth rate Gs to obtain the nutrient supply and demand difference Ns through the following formula:

[0077]

[0078] S22. Evaluate the nutrient supply and demand difference Ns by presetting a first supply and demand difference threshold Q1 and a second supply and demand difference threshold Q2, and take corresponding measures, wherein the first supply and demand difference threshold Q1 is greater than the second supply and demand difference threshold Q2. The specific contents are as follows:

[0079] If the nutrient supply-demand difference Ns is greater than the first supply-demand difference threshold Q1, it indicates that the fertilizer release rate at the current stage is abnormal, indicating insufficient nutrient supply. In this case, the fertilizer amount and fertilization frequency are increased by 10% on the original basis.

[0080] If the first supply-demand difference threshold Q1 ≥ nutrient supply-demand difference Ns > the second supply-demand difference threshold Q2, it means that the nutrient supply at the current stage is normal and no measures are needed;

[0081] If the second supply-demand difference threshold Q2 ≥ nutrient supply-demand difference Ns, it means that the fertilizer release amount in the current stage is abnormal and exceeds the demand of the crop, indicating that there is a nutrient surplus; at this time, the fertilizer amount and fertilization frequency should be reduced by 10% on the original basis.

[0082] In this embodiment, step S21 is combined with the crop growth-related data extracted by image recognition technology, including leaf area index Pe, plant crown width Et and leaf inclination angle Rg, to accurately evaluate the growth status of crops. The leaf area index Pe is obtained by an image sensor to reflect the photosynthesis capacity of the crop. The plant crown width Et is obtained by drone photography to evaluate the lateral growth status of the crop. The leaf inclination angle Rg is collected by a high-resolution image sensor to reflect the light reception and health status of the crop. The plant growth rate Gs is calculated based on these data and combined with the fertilizer residue on the soil surface. The nutrient supply and demand situation is evaluated by the amount Fn and the nitrogen content Fr on crop leaves. The fertilizer residue Fn on the soil surface is obtained through a spectrometer to reflect the fertilizer absorption and residue situation. The nitrogen content Fr on crop leaves is collected through a leaf color index sensor to evaluate whether the nitrogen supply is sufficient. The current nutrient supply situation is evaluated by the nutrient supply and demand difference Ns. The first supply and demand difference threshold Q1 and the second supply and demand difference threshold Q2 are set for comparison. When the nutrient supply and demand difference Ns exceeds the threshold, the nutrient supply is adjusted by increasing or decreasing the amount of fertilizer and the frequency of fertilization to ensure the balance of nutrient supply and demand and improve crop growth efficiency.

[0083] Example 4

[0084] S3 includes S31, S32 and S33, specifically:

[0085] S31. By extracting the release rate of the three major nutrients of crops within a fixed period and the optimal release amount required during crop growth from the data set related to compound fertilizer production, including nitrogen release amount Nl, phosphorus release amount Pl, potassium release amount Kl, optimal nitrogen release amount Nopt, optimal phosphorus release amount Popt and optimal potassium release amount Kopt; collected and obtained through chlorophyll content sensors, plant nutrient sensors, soil potassium ion sensors and soil phosphorus ion sensors.

[0086] The calculation formula of the comprehensive nutrient release imbalance coefficient Nri is as follows:

[0087]

[0088] S32: Compare and evaluate the preset nutrient release imbalance threshold W with the comprehensive nutrient release imbalance coefficient Nri. The specific contents are as follows:

[0089] When the nutrient release imbalance threshold W ≥ the comprehensive nutrient release imbalance coefficient Nri, it means that the release of the three major nutrient elements in the current compound fertilizer is normal and meets the growth needs of crops;

[0090] When the nutrient release imbalance threshold W is less than the comprehensive nutrient release imbalance coefficient Nri, it indicates that the release of the three major nutrient elements in the current compound fertilizer is abnormal. At this time, further analysis of the trace elements in the compound fertilizer is required.

[0091] S33. Calculate the trace requirement Mn using the following formula:

[0092] Mn=Zn+Bn+Fen;

[0093] By comparing and evaluating the preset trace supply threshold E with the trace requirement Mn, the ratio of trace elements in the compound fertilizer is adjusted. The specific contents are as follows:

[0094] When the trace supply threshold E ≥ trace requirement Mn, it means that the supply of trace elements in the current compound fertilizer meets the growth needs of crops;

[0095] When the trace supply threshold E is less than the trace requirement Mn, it means that the supply of trace elements in the current compound fertilizer is insufficient and cannot meet the needs of crops; then the content of zinc Zn, boron Bn and iron Fen is increased by 10% on the original basis.

[0096] In this embodiment, through step S31, the nitrogen release Nl, phosphorus release Pl, potassium release Kl of the three major nutrient elements of crops and their corresponding optimal release amounts are extracted from the compound fertilizer production related data set, and the comprehensive nutrient release imbalance coefficient Nri is calculated, which can accurately evaluate the supply of the three major nutrient elements in the compound fertilizer; based on the evaluation content of the comprehensive nutrient release imbalance coefficient Nri, further analysis of trace element supply is selected; then through step S33, the trace requirement Mn is calculated, and the trace requirement Mn is evaluated by extracting the zinc content Zn, the boron content Bn and the iron content Fen, combined with the preset trace supply threshold E, and the supply of trace elements is increased according to the evaluation content of the trace requirement Mn to ensure that the supply of trace elements can meet the needs of crops; the supply level of trace elements in the compound fertilizer is improved by precise adjustment of the zinc, boron and iron contents, thereby optimizing the nutrient supply of crops and improving growth effects.

[0097] Example 5

[0098] S4. By extracting relevant data from the compound fertilizer production-related data set and using soil property analysis and climate condition analysis, the nutrient loss rate Lr, soil moisture content Sd, and rainfall Ra are obtained, and the nutrient loss compensation index Li is calculated using the following formula:

[0099]

[0100] Where n represents the number of sampling points, Lr i Nutrient loss rate at the i-th sampling point, Sd i Indicates the soil moisture content at the i-th sampling point, Ra i represents the rainfall at the i-th sampling point.

[0101] Nutrient loss rate Lr, soil moisture content Sd and rainfall Ra are measured and obtained through soil solution monitoring sensors, soil moisture sensors and ultrasonic rain gauges.

[0102] In this embodiment, the nutrient loss rate Lr, soil moisture content Sd and rainfall Ra in the compound fertilizer production-related data set are extracted through step S4. Combined with soil property analysis and climatic condition analysis, the nutrient loss in the soil can be accurately assessed; the nutrient loss rate Lr reflects the extent of nutrient loss from the soil due to rain or drainage; the soil moisture content Sd indicates the saturation of water in the soil, which affects the retention and loss of nutrients; the rainfall Ra directly reflects the scouring effect of rainfall on soil nutrient loss; the nutrient loss compensation index Li is obtained by calculation based on data from multiple sampling points, which can effectively assess the impact of nutrient loss on crop growth and ensure that crops obtain sufficient nutrient support through compensation measures, thereby avoiding growth problems caused by insufficient nutrients or excessive loss.

[0103] Example 5

[0104] S5 includes:

[0105] S51. The specific calculation formula of nutrient optimization index Nci is as follows:

[0106] Nci=Nri+Mn+Li.

[0107] S52: By presetting a first optimization threshold value Y1 and a second optimization threshold value Y2, and with the first optimization threshold value Y1 being greater than the second optimization threshold value Y2, a comparison and evaluation is performed with the nutrient optimization index Nci, and corresponding production adjustment measures are taken. The specific evaluation contents are as follows:

[0108] When the nutrient optimization index Nci is greater than the first optimization threshold Y1, it indicates that there is an imbalance in the nutrient release, trace element ratio, or nutrient loss compensation in the current compound fertilizer, which affects the nutrient absorption of crops and leads to yield decline and growth problems. At this time, adjustments must be made, including adjustments to the nutrient release and trace element ratio in the compound fertilizer.

[0109] When the second optimization threshold Y2 is less than the nutrient optimization index Nci and less than the first optimization threshold Y1, it indicates that there is an imbalance in the nutrient release, trace element ratio, or nutrient loss compensation in the current compound fertilizer, but it does not affect the nutrient absorption of crops. In this case, it is necessary to adjust the release of some nutrients or the trace element ratio.

[0110] When the nutrient optimization index Nci ≤ the second optimization threshold Y2, it means that the nutrient release, trace element supply and nutrient loss compensation of the compound fertilizer are all in a balanced state; at this time, the production formula of the compound fertilizer is reasonable and meets the growth needs of crops, and no large-scale adjustment is required.

[0111] In this embodiment, through step S51, the nutrient optimization index Nci is calculated, which can comprehensively evaluate the nutrient release, trace element ratio and nutrient loss compensation in the compound fertilizer; then through step S52, the first optimization threshold Y1 and the second optimization threshold Y2 are preset and compared with the nutrient optimization index Nci to accurately determine whether the current compound fertilizer production is in a balanced state.

[0112] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A method for optimizing nutrients in compound fertilizer production based on industrial data, characterized in that: The following steps are involved: S1. Decompose the compound fertilizer production process into several key nutrient release stages, collect soil and crop growth data for each stage through different data channels, and preprocess and feature extract these soil and crop growth data to establish a data set related to compound fertilizer production; S2. Analyze the crop growth cycle through image data processing technology, collect crop image data, and use image recognition technology to extract crop growth-related data to calculate the current plant growth rate Gs. Then, through image analysis, further combine the fertilizer residue Fn on the soil surface with the nitrogen content Fr on the crop leaves to obtain and evaluate the nutrient supply and demand difference Ns at the current stage. Finally, take corresponding measures to adjust the nutrient release effect based on the evaluation of the nutrient supply and demand difference Ns. S3. By extracting a data set related to compound fertilizer production, further calculate and evaluate the comprehensive nutrient release imbalance coefficient Nri; then extract the trace element related data from the data set related to compound fertilizer production, respectively obtain and fit the zinc content Zn, boron content Bn, and iron content Fen, and then obtain and evaluate the trace element requirement Mn for crop growth. By comparing the actual demand and supply, adjust the ratio of trace elements in the compound fertilizer; S4. Based on the analysis of soil characteristics and climate conditions, the nutrient loss rate Lr, soil moisture content Sd and rainfall Ra are collected and correlated to generate the nutrient loss compensation index Li; S5, comprehensive nutrient release imbalance coefficient Nri, trace requirement Mn and nutrient loss compensation index Li, analyze the nutrient optimization index Nci of current compound fertilizer production, and preset the first optimization threshold Y1 and the second optimization threshold Y2, compare and evaluate with the nutrient optimization index Nci, and finally take corresponding production adjustment measures based on the evaluation results.

2. The method for optimizing the nutrient content of compound fertilizer production based on industrial data according to claim 1, wherein: S1. The entire compound fertilizer production process is decomposed according to the key nutrient release stage; at the same time, each key nutrient release is divided according to the crop growth cycle and required nutrition; secondly, data related to fertilizer, soil and crop growth are collected through different channels, including data related to soil element content, crop growth rate, soil nutrient data and fertilizer release data; finally, the collected fertilizer, soil and crop growth-related data are cleaned, standardized and dimensionless, and a data set related to compound fertilizer production is established.

3. The method for optimizing the nutrient content of compound fertilizer production based on industrial data according to claim 1, wherein: S2 includes S21 and S22, specifically: S21. Combined with image recognition technology, crop growth-related data, including leaf area index Pe, plant crown width Et, and leaf inclination angle Rg, are extracted; the current plant growth rate Gs is obtained by calculation. The specific formula is as follows: Gs=a1×Pe+a2×Et+a3×Rg; Where a1, a2 and a3 represent the weight coefficients of leaf area index Pe, plant crown width Et and leaf inclination angle Rg, respectively, and a1+a2+a3=1, 0≤a1<1, 0≤a2<1, 0≤a3<1; Then, the extraction is further combined with the fertilizer residue Fn on the soil surface and the nitrogen content Fr on the crop leaves, which are then correlated with the plant growth rate Gs to obtain the nutrient supply and demand difference Ns using the following formula:

4. The method for optimizing the nutrient content of compound fertilizer production based on industrial data according to claim 3, wherein: S22. Evaluate the nutrient supply and demand difference Ns by presetting a first supply and demand difference threshold Q1 and a second supply and demand difference threshold Q2, and take corresponding measures, wherein the first supply and demand difference threshold Q1 is greater than the second supply and demand difference threshold Q2. The specific contents are as follows: If the nutrient supply-demand difference Ns is greater than the first supply-demand difference threshold Q1, it indicates that the fertilizer release rate at the current stage is abnormal, indicating insufficient nutrient supply. In this case, the fertilizer amount and fertilization frequency are increased by 10% on the original basis. If the first supply-demand difference threshold Q1 ≥ nutrient supply-demand difference Ns > the second supply-demand difference threshold Q2, it means that the nutrient supply at the current stage is normal and no measures are needed; If the second supply-demand difference threshold Q2 ≥ nutrient supply-demand difference Ns, it means that the fertilizer release amount in the current stage is abnormal and exceeds the demand of the crop, indicating that there is a nutrient surplus; at this time, the fertilizer amount and fertilization frequency should be reduced by 10% on the original basis.

5. The method for optimizing the nutrient content of compound fertilizer production based on industrial data according to claim 1, wherein: S3 includes S31, S32 and S33, specifically: S31. Extracting the release rate of the three major nutrient elements of crops within a fixed period and the optimal release amount required during crop growth from a data set related to compound fertilizer production, including nitrogen release amount N1, phosphorus release amount Pl, potassium release amount K1, optimal nitrogen release amount Nopt, optimal phosphorus release amount Popt, and optimal potassium release amount Kopt; The calculation formula of the comprehensive nutrient release imbalance coefficient Nri is as follows:

6. The method for optimizing the nutrient content of compound fertilizer production based on industrial data according to claim 5, wherein: S32: Compare and evaluate the preset nutrient release imbalance threshold W with the comprehensive nutrient release imbalance coefficient Nri. The specific contents are as follows: When the nutrient release imbalance threshold W ≥ the comprehensive nutrient release imbalance coefficient Nri, it means that the release of the three major nutrient elements in the current compound fertilizer is normal and meets the growth needs of crops; When the nutrient release imbalance threshold W is less than the comprehensive nutrient release imbalance coefficient Nri, it indicates that the release of the three major nutrient elements in the current compound fertilizer is abnormal. At this time, further analysis of the trace elements in the compound fertilizer is required.

7. The method for optimizing the nutrient content of compound fertilizer production based on industrial data according to claim 5, wherein: S33. Calculate the trace requirement Mn using the following formula: Mn=Zn+Bn+Fen; By comparing and evaluating the preset trace supply threshold E with the trace requirement Mn, the ratio of trace elements in the compound fertilizer is adjusted. The specific contents are as follows: When the trace supply threshold E ≥ trace requirement Mn, it means that the supply of trace elements in the current compound fertilizer meets the growth needs of crops; When the trace supply threshold E is less than the trace requirement Mn, it means that the supply of trace elements in the current compound fertilizer is insufficient and cannot meet the needs of crops; then the content of zinc Zn, boron Bn and iron Fen is increased by 10% on the original basis.

8. The method for optimizing nutrient content in compound fertilizer production based on industrial data according to claim 1, wherein: S4. By extracting relevant data from the compound fertilizer production-related data set and using soil property analysis and climate condition analysis, the nutrient loss rate Lr, soil moisture content Sd, and rainfall Ra are obtained, and the nutrient loss compensation index Li is calculated using the following formula: Where n represents the number of sampling points, Lr i Nutrient loss rate at the i-th sampling point, Sd i Indicates the soil moisture content at the i-th sampling point, Ra i represents the rainfall at the i-th sampling point.

9. The method for optimizing nutrient content in compound fertilizer production based on industrial data according to claim 1, wherein: S5 Including: S51, the specific calculation formula of nutrient optimization index Nci is as follows: Nci=Nri+Mn+Li.

10. The method for optimizing nutrients in compound fertilizer production based on industrial data according to claim 9, characterized in that: S5 further includes: S52, by presetting a first optimization threshold value Y1 and a second optimization threshold value Y2, and the first optimization threshold value Y1 is greater than the second optimization threshold value Y2, comparing and evaluating with the nutrient optimization index Nci, and taking corresponding production adjustment measures. The specific evaluation contents are as follows: When the nutrient optimization index Nci is greater than the first optimization threshold Y1, it indicates that there is an imbalance in the nutrient release, trace element ratio, or nutrient loss compensation in the current compound fertilizer, which affects the nutrient absorption of crops and leads to yield decline and growth problems. At this time, adjustments must be made, including adjustments to the nutrient release and trace element ratio in the compound fertilizer. When the second optimization threshold Y2 is less than the nutrient optimization index Nci and less than the first optimization threshold Y1, it indicates that there is an imbalance in the nutrient release, trace element ratio, or nutrient loss compensation in the current compound fertilizer, but it does not affect the nutrient absorption of crops. In this case, it is necessary to adjust the release of some nutrients or the trace element ratio. When the nutrient optimization index Nci ≤ the second optimization threshold Y2, it means that the nutrient release, trace element supply and nutrient loss compensation of the compound fertilizer are all in a balanced state; at this time, the production formula of the compound fertilizer is reasonable and meets the growth needs of crops, and no large-scale adjustment is required.

Images