Compound fertilizer production nutrient optimization method based on industrial data

Abstract

The invention discloses a compound fertilizer production nutrient optimization method based on industrial data, relates to the technical field of compound fertilizer production, and firstly solves the problem of unbalanced nutrient release; through the steps S1 and S2, a compound fertilizer production process is decomposed, soil and crop growth related data are collected, an image data processing technology is combined, a plant growth rate Gs and a nutrient supply and demand difference Ns are calculated, and through evaluation of a first supply and demand difference threshold Q1 and a second supply and demand difference threshold Q2, a nutrient release rate is adjusted in time, matching of nutrients and a crop growth cycle is ensured, and the quality of the compound fertilizer is improved. Excessive or insufficient nutrients are avoided; secondly, the trace demand Mn is calculated and evaluated through the step S3, the problem of lack of trace elements is solved, trace element supply is adjusted in time, and it is ensured that crops obtain needed support; and finally, calculating a nutrient loss compensation index Li through the step S4, estimating nutrient loss and adjusting fertilization, so that the applicability of the compound fertilizer under complex climate conditions is improved.

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] The production technology of compound fertilizer originated in the early 20th century and was first developed to increase crop yields and soil fertility. With the increase in agricultural demand, compound fertilizer technology has gradually developed from a simple mixture of nitrogen, phosphorus and potassium to a finely proportioned multi-component compound fertilizer. Modern compound fertilizer production technology covers a variety of processes such as chemical reactions, physical mixing and granulation, and can customize the proportion of nutrient elements according to the needs of different crops. In recent years, the green production technology of compound fertilizer has also received 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 increase and quality improvement. However, in actual application, they have the following technical disadvantages:

[0004] 1. Unbalanced nutrient release: The nutrient release rate of traditional compound fertilizers is difficult to fully match the growth cycle of plants, which can easily lead to too fast or too slow nutrient release. For example, excessive nitrogen release may occur in the early stage, causing the plant to grow too tall and affecting root development, while insufficient nutrient supply may affect plant growth in the later stage.

[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 strong soil drainage. Soluble elements such as nitrogen and potassium may be lost due to leaching, resulting in the failure of plants 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 deficiencies in the prior art, the present invention provides a method for optimizing nutrients in compound fertilizer production based on industrial data, which solves the technical shortcomings of the background technology, such as unbalanced nutrient release, trace element deficiency and nutrient loss.

[0008] To achieve the above objectives, the present invention is implemented by the following technical scheme: 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 at each stage through different data channels, preprocess and extract features of these soil and crop growth data, and 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 extract crop growth-related data in combination with image recognition technology to calculate and obtain the plant growth rate Gs at the current stage; 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, and finally take corresponding measures to adjust the nutrient release effect based on the evaluation content of the nutrient supply and demand difference Ns;

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

[0012] S4. According to 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 demand 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 according to 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 and fertilizer release; finally, the collected data related to fertilizer, soil and crop growth are cleaned, standardized and dimensionlessly processed to establish a data set related to compound fertilizer production.

[0016] Preferably,

[0017] S2 includes S21 and S22, specifically:

[0018] S21. Combined with the image recognition technology, the crop growth-related data extracted include the leaf area index Pe, the plant crown width Et and the leaf inclination Rg; the plant growth rate Gs at the current stage 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 fertilizer residue on the soil surface Fn and the nitrogen in the crop leaves Fr are further extracted and associated with the plant growth rate Gs to obtain the nutrient supply and demand difference Ns through the following formula:

[0022] Preferably,

[0023] S22, by presetting a first supply-demand difference threshold Q1 and a second supply-demand difference threshold Q2, the nutrient supply-demand difference Ns is evaluated and corresponding measures are taken, and the first supply-demand difference threshold Q1> the second supply-demand difference threshold Q2; the specific contents are as follows:

[0024] If the nutrient supply-demand difference Ns> the first supply-demand difference threshold Q1, it means that the fertilizer release amount in the current stage is abnormal, indicating that the nutrient supply is insufficient; at this time, 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 crops, indicating that there is an excess of nutrients; at this time, reduce the amount of fertilizer by 10% and the frequency of fertilization 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 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;

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

[0031]

[0032] Preferably,

[0033] S32, by presetting the nutrient release imbalance threshold W and the comprehensive nutrient release imbalance coefficient Nri for comparative evaluation, 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, the trace elements in the compound fertilizer should be further analyzed.

[0036] Preferably,

[0037] S33. Calculate the trace required amount Mn by the following formula:

[0038] Mn=Zn+Bn+Fen;

[0039] By comparing and evaluating the preset trace supply threshold E with the trace demand 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 demand Mn, it indicates 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 characteristics analysis and climate conditions analysis, the nutrient loss rate Lr, soil moisture content Sd and rainfall Ra are obtained, and the nutrient loss compensation index Li is calculated by 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 represents 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 also 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 content is as follows:

[0051] When the nutrient optimization index Nci> the first optimization threshold value 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 reduction 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 < nutrient optimization index Nci ≤ the first optimization threshold Y1, it means 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. At this time, 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 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, which has the following beneficial effects:

[0055] (1) This method for optimizing the production of compound fertilizer 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 the matching of nutrient release with 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 for optimizing the production of compound fertilizer nutrients based on industrial data finally solves the problem of nutrient loss. Through step S4, the nutrient loss rate Lr, soil water content Sd and rainfall Ra are collected in combination with soil property analysis and climate condition analysis, 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 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 fertilizers 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 be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work 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 at each stage through different data channels, preprocess and extract features of these soil and crop growth data, and 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 extract crop growth-related data in combination with image recognition technology to calculate and obtain the plant growth rate Gs at the current stage; 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, and finally take corresponding measures to adjust the nutrient release effect based on the evaluation content of the nutrient supply and demand difference Ns;

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

[0065] S4. According to 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;

[0066] S5, comprehensive nutrient release imbalance coefficient Nri, trace demand 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 according to 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, so that the dynamic situation of nutrient release can be accurately grasped; the crop growth cycle is analyzed through step S2, 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, so that the nutrient release effect can be effectively adjusted to 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, so as to accurately judge 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 and fertilizer release; finally, the collected data related to fertilizer, soil and crop growth are cleaned, standardized and dimensionlessly processed to establish a data set related to compound fertilizer production.

[0070] In this embodiment, the entire compound fertilizer production process is decomposed according to the key nutrient release stage 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 crop; 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 of nutrient supply and soil state; 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 compound fertilizer production-related data set 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 the image recognition technology, the crop growth-related data extracted include the leaf area index Pe, the plant crown width Et and the leaf inclination Rg; the plant growth rate Gs at the current stage 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 on the soil surface Fn and the nitrogen in the crop leaves Fr, which are associated with the plant growth rate Gs, and the nutrient supply and demand difference Ns is obtained through the following formula:

[0077]

[0078] S22, by presetting a first supply-demand difference threshold Q1 and a second supply-demand difference threshold Q2, the nutrient supply-demand difference Ns is evaluated and corresponding measures are taken, and the first supply-demand difference threshold Q1> the second supply-demand difference threshold Q2; the specific contents are as follows:

[0079] If the nutrient supply-demand difference Ns> the first supply-demand difference threshold Q1, it means that the fertilizer release amount in the current stage is abnormal, indicating that the nutrient supply is insufficient; at this time, 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 > 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 crops, indicating that there is an excess of nutrients; at this time, reduce the amount of fertilizer by 10% and the frequency of fertilization by 10% on the original basis.

[0082] In this embodiment, step S21 is combined with 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 crops; the plant crown width Et is obtained by drone photography to evaluate the lateral growth status of crops; the leaf inclination angle Rg is collected by a high-resolution image sensor to reflect the light reception and health status of crops; the plant growth rate Gs is calculated based on these data, and combined with the fertilizer residue on the soil surface The amount of fertilizer Fn and the nitrogen Fr of crop leaves are used to evaluate the nutrient supply and demand. The fertilizer residue Fn on the soil surface is obtained through a spectrometer to reflect the fertilizer absorption and residue. The nitrogen Fr of 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, and 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, so as 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, by presetting the nutrient release imbalance threshold W and the comprehensive nutrient release imbalance coefficient Nri for comparative evaluation, 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, the trace elements in the compound fertilizer should be further analyzed.

[0091] S33. Calculate the trace required amount Mn by the following formula:

[0092] Mn=Zn+Bn+Fen;

[0093] By comparing and evaluating the preset trace supply threshold E with the trace demand 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 demand Mn, it indicates 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; according to 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, and combining the preset trace supply threshold E, and according to the evaluation content of the trace requirement Mn, the supply of trace elements is increased to ensure that the supply of trace elements can meet the needs of crops; the supply level of trace elements in compound fertilizers is improved by accurately adjusting the zinc, boron and iron contents, thereby optimizing the nutrient supply of crops and improving the growth effect.

[0097] Example 5

[0098] S4. By extracting relevant data from the compound fertilizer production related data set and using soil characteristics analysis and climate conditions analysis, the nutrient loss rate Lr, soil moisture content Sd and rainfall Ra are obtained, and the nutrient loss compensation index Li is calculated by 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 represents the soil moisture content at the i-th sampling point, Ra i represents the rainfall at the i-th sampling point.

[0101] The 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, and combined with soil property analysis and climate condition analysis, the nutrient loss in the soil can be accurately evaluated; the nutrient loss rate Lr reflects the degree 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 flushing effect of rainfall on soil nutrient loss; the nutrient loss compensation index Li is obtained by calculating the data of multiple sampling points, which can effectively evaluate 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 the first optimization threshold value Y1 and the second optimization threshold value Y2, and the first optimization threshold value Y1 is greater than the second optimization threshold value Y2, and the nutrient optimization index Nci is compared and evaluated, and corresponding production adjustment measures are taken. The specific evaluation contents are as follows:

[0108] When the nutrient optimization index Nci> the first optimization threshold value 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 reduction 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 < nutrient optimization index Nci ≤ the first optimization threshold Y1, it means 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. At this time, 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 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] Although 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 the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present 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 at each stage through different data channels, preprocess and extract features of these soil and crop growth data, and 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 extract crop growth-related data in combination with image recognition technology to calculate and obtain the plant growth rate Gs at the current stage; 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, and finally take corresponding measures to adjust the nutrient release effect based on the evaluation content of the nutrient supply and demand difference Ns; S3. By extracting the compound fertilizer production related data set, further calculate the comprehensive nutrient release imbalance coefficient Nri and evaluate it; then extract the trace element related data in the compound fertilizer production related data set, respectively obtain the zinc content Zn, boron content Bn and iron content Fen and fit them, then obtain the trace requirement Mn for crop growth and evaluate it, and adjust the ratio of trace elements in the compound fertilizer by comparing the actual demand and supply; S4. According to 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; S5, comprehensive nutrient release imbalance coefficient Nri, trace demand 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 according to the evaluation results.

2. The method for optimizing the nutrient content of compound fertilizer production based on industrial data according to claim 1, characterized in that: 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 and fertilizer release; finally, the collected data related to fertilizer, soil and crop growth are cleaned, standardized and dimensionlessly processed to establish a data set related to compound fertilizer production.

3. The method for optimizing the nutrient content of compound fertilizer production based on industrial data according to claim 1, characterized in that: S2 includes S21 and S22, specifically: S21. Combined with the image recognition technology, the crop growth-related data extracted include the leaf area index Pe, the plant crown width Et and the leaf inclination Rg; the plant growth rate Gs at the current stage 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 on the soil surface Fn and the nitrogen in the crop leaves Fr, which are associated with the plant growth rate Gs, and the nutrient supply and demand difference Ns is obtained through the following formula:

4. The method for optimizing nutrients in compound fertilizer production based on industrial data according to claim 3, characterized in that: S22, by presetting a first supply-demand difference threshold Q1 and a second supply-demand difference threshold Q2, the nutrient supply-demand difference Ns is evaluated and corresponding measures are taken, and the first supply-demand difference threshold Q1> the second supply-demand difference threshold Q2; the specific contents are as follows: If the nutrient supply-demand difference Ns> the first supply-demand difference threshold Q1, it means that the fertilizer release amount in the current stage is abnormal, indicating that the nutrient supply is insufficient; at this time, 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 crops, indicating that there is an excess of nutrients; at this time, reduce the amount of fertilizer by 10% and the frequency of fertilization 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, characterized in that: 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 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; The calculation formula of the comprehensive nutrient release imbalance coefficient Nri is as follows:

6. The method for optimizing nutrients in compound fertilizer production based on industrial data according to claim 5, characterized in that: S32, by presetting the nutrient release imbalance threshold W and the comprehensive nutrient release imbalance coefficient Nri for comparative evaluation, 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, the trace elements in the compound fertilizer should be further analyzed.

7. The method for optimizing nutrients in compound fertilizer production based on industrial data according to claim 5, characterized in that: S33. Calculate the trace required amount Mn by the following formula: Mn=Zn+Bn+Fen; By comparing and evaluating the preset trace supply threshold E with the trace demand 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 demand Mn, it indicates 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 nutrients in compound fertilizer production based on industrial data according to claim 1, characterized in that: S4. By extracting relevant data from the compound fertilizer production related data set and using soil characteristics analysis and climate conditions analysis, the nutrient loss rate Lr, soil moisture content Sd and rainfall Ra are obtained, and the nutrient loss compensation index Li is calculated by the following formula: Where n represents the number of sampling points, Lr i Nutrient loss rate at the i-th sampling point, Sd i represents 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 nutrients in compound fertilizer production based on industrial data according to claim 1, characterized in that: 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 also 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 content is as follows: When the nutrient optimization index Nci> the first optimization threshold value 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 reduction 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 < nutrient optimization index Nci ≤ the first optimization threshold Y1, it means 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. At this time, 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 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.

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