Intelligent fertilizer blending method and system

Abstract

This invention relates to the field of agricultural fertilizer blending technology, specifically to an intelligent fertilizer blending method and system. The method includes: S1, the system receives fertilizer blending request information and obtains a list of all available fertilizers based on the request information; S2, based on the fertilizer list, a precipitation path is constructed, including an ion precipitation path and a fertilizer precipitation path; S3, all fertilizer formulas that meet the fertilizer blending request information are determined and prioritized; S4, the fertilizer formula is determined based on the priority ranking result and output. This application, through the detailed construction of ion precipitation and fertilizer precipitation paths, comprehensively considers the precipitation reaction during fertilizer mixing, effectively avoiding nutrient loss due to precipitation, improving fertilizer utilization, thereby enhancing fertilization effect and ensuring the growth needs of crops.

Description

Technical Field

[0001] This invention relates to the field of agricultural fertilizer blending technology, and in particular to an intelligent fertilizer blending method and system. Background Technology

[0002] As modern agriculture develops towards precision and scientific methods, crop cultivation places higher demands on fertilizer efficiency. However, traditional fertilization methods often rely on experience-based judgment, which can lead to fertilizer waste or soil pollution. Furthermore, the complexity of the planting environment (such as soil type, climate conditions, and crop requirements) makes it difficult for a single formula to meet diverse needs. Therefore, fertilizer formulation based on precision analysis and data-driven approaches has become an important direction for current agricultural technology development.

[0003] Currently, there are some fertilizer mixing and application advice tools available on the market, which can be mainly divided into the following categories:

[0004] (1) Fertilizer mixing tools based on fixed formulas. These tools help farmers determine the amount of fertilizer to use through preset formulas and simple calculation formulas.

[0005] Advantages: Simple and easy to use, low cost.

[0006] Disadvantages: It does not take into account the dynamic changes of soil, plants and environment, and the recommended formulas are often general and have low precision.

[0007] (2) Soil testing and recommendation system: Some agricultural service companies provide soil sample testing services and provide fertilization recommendations based on the test results.

[0008] Advantages: It can recommend fertilizer formulas based on actual soil conditions.

[0009] Disadvantages: It only considers soil nutrients and does not integrate relevant data on plant nutrition and irrigation systems, making it difficult to adjust fertilization strategies in real time.

[0010] (3) Fertilizer blending equipment and automation systems. In recent years, some companies have developed fertilizer blending equipment based on sensor and automatic control technology, such as automatically adjusting fertilizer concentration through irrigation systems.

[0011] Advantages: It automates the fertilization process.

[0012] Disadvantages: High equipment cost, high barrier to entry, and mostly applicable to large-scale planting.

[0013] (4) Comprehensive fertilizer recommendation platform: Some modern agricultural management software (such as Farm Management Systems) integrates multiple data sources (including soil, plants, weather, etc.) and provides decision support for farmers through models and algorithms.

[0014] Advantages: The recommended solution is relatively scientific, taking into account multiple factors.

[0015] Disadvantages: It relies on a large amount of data input and complex calculation models, making it complicated to operate and limiting its applicability to ordinary farmers. Summary of the Invention

[0016] The purpose of this invention is to provide an intelligent fertilizer blending method and system to solve the problem that the fertilizer blending requirements cannot be met due to the inability to efficiently construct sedimentation pathways in the existing technology.

[0017] The technical solution of this invention is: an intelligent fertilizer blending method and system, comprising:

[0018] S1. The system receives fertilizer blending request information and obtains a list of all available fertilizers based on the fertilizer blending request information;

[0019] S2. Based on the fertilizer list, construct precipitation paths, including ion precipitation paths and fertilizer precipitation paths;

[0020] The steps for constructing an ion precipitation pathway are as follows:

[0021] Determine the types of ions in the list of fertilizers that can be used;

[0022] Based on the principle of chemical precipitation reaction, the combination of ions that can undergo precipitation reaction and the corresponding reaction conditions are determined; and an ion reaction chain is constructed between two ions that can react, and all tandem ion reaction chains are defined as the ion precipitation path.

[0023] The steps to construct a fertilizer sedimentation pathway are as follows:

[0024] Based on the ion precipitation pathway, a fertilizer reaction chain between the two fertilizers is constructed, and all tandem fertilizer reaction chains are defined as the fertilizer precipitation pathway.

[0025] S3. Determine all fertilizer formulas that meet the fertilizer application request information and prioritize them.

[0026] S4. Determine the fertilizer formula based on the priority ranking results and output it.

[0027] Preferably, in the process of constructing the ion precipitation path, the ions contained in all fertilizers are determined, an ion list is established, and the ions in all fertilizers are classified and recorded, including cations and anions; then, all ion combinations that can undergo precipitation reactions are represented in the form of a network, with each ion as a node, and ion pairs that undergo precipitation reactions are connected by edges.

[0028] In the process of constructing the fertilizer precipitation pathway, based on the established ion precipitation pathway, all combinations of fertilizers that can precipitate are determined, and all tandem fertilizer reaction chains are collected to form the fertilizer precipitation pathway.

[0029] Preferably, the process of constructing the fertilizer sedimentation pathway is as follows:

[0030] In the network formed by ion combinations, each cation node corresponds to a fertilizer containing that cation, and each anion node corresponds to a fertilizer containing that anion. Fertilizer precipitation paths are formed between fertilizers connected by edges.

[0031] Preferably, the fertilizer application request information includes crop type, soil nutrient data, crop micronutrient requirements, and type of acid to be used.

[0032] Preferably, in the step of determining all fertilizer formulas that meet the fertilizer application request information, a linear programming algorithm is used to generate fertilizer formulas that meet the requirements based on the crop type, soil nutrient data, crop micronutrient requirements, type of acid used, and fertilizer precipitation path in the fertilizer application request information.

[0033] In this system, the fertilizer formula is used as a decision variable, the fertilizer application request information is used as a constraint, the optimization index of the fertilizer formula is used as the objective function, and the fertilizer formula that meets the requirements is obtained by solving a linear rule problem.

[0034] Preferably, in the step of prioritizing, the reference elements of the sorting rules include fertilizer purchase cost, ease of acquisition, usage amount, and the current soil EC value and pH value, and weights are assigned to all reference elements.

[0035] Preferably, the fertilizer mixing request information also includes the number of fertilizer bins. Based on the priority sorting result, the number of fertilizer formulas is determined to be the same as the number of fertilizer bins. After the output fertilizer formula is confirmed, the fertilizer in each fertilizer formula is added to the fertilizer bins in sequence.

[0036] This application also discloses an intelligent fertilizer blending system for performing the above-described intelligent fertilizer blending method.

[0037] Compared with the prior art, the advantages of the present invention are:

[0038] (1) By constructing detailed ion precipitation pathways and fertilizer precipitation pathways, the precipitation reaction during fertilizer mixing is fully considered, effectively avoiding nutrient loss caused by precipitation, improving fertilizer utilization, thereby enhancing fertilization effect and ensuring the growth needs of crops.

[0039] (2) The fertilizer formulation is prioritized by taking into account a variety of factors, including fertilizer purchase cost, ease of acquisition, usage amount, as well as the current soil EC value and pH value. The optimal fertilizer formulation can be quickly determined according to the actual situation, improving fertilizer blending efficiency and reducing production costs.

[0040] (3) Based on multi-source fertilizer application request information such as crop type, soil nutrients, and meteorological conditions, combined with linear programming algorithm, more accurate fertilizer formulas that meet actual needs are generated, which can adapt to the fertilization requirements of different crops under different growth environments, help to achieve precise and intelligent agricultural production, and promote sustainable agricultural development. Attached Figure Description

[0041] The present invention will be further described below with reference to the accompanying drawings and embodiments:

[0042] Figure 1 This is a flowchart of an intelligent fertilizer blending method according to the present invention;

[0043] Figure 2 This is the input interface for fertilizer application request information in one embodiment of the present invention;

[0044] Figure 3 This is a network diagram of the ion precipitation path constructed in one embodiment of the present invention;

[0045] Figure 4 This is a diagram of the fertilizer sedimentation path network constructed in one embodiment of the present invention. Detailed Implementation

[0046] The present invention will be further described in detail below with reference to specific embodiments:

[0047] like Figure 1 As shown, an intelligent fertilizer blending method, executed using an intelligent fertilizer blending system, specifically includes the following steps:

[0048] The specific implementation method of step S1 is as follows:

[0049] The system receives fertilizer application requests, including crop type (e.g., blueberries, wheat, corn), crop micronutrient requirements (e.g., ammonium salts, nitrates, chlorides, bicarbonates), water quality data (including macro and micronutrients in water), type of acid used (e.g., sulfuric acid H₂SO₄), soil nutrient data (e.g., nitrogen, phosphorus, potassium content, soil pH), and the number of fertilizer containers. The system integrates and receives this information. Figure 2 The image shows an input interface for fertilizer application request information in one implementation method.

[0050] Based on fertilizer application requests, the system accesses a fertilizer database. For example, when the crop is wheat and the soil nitrogen content is low, the system will filter out fertilizers suitable for wheat growth and capable of supplementing nitrogen, obtaining a list of fertilizers including urea and ammonium nitrate. Similarly, when the crop's micronutrient requirement includes nitrates, the system will obtain a list of fertilizers including ammonium nitrate and nitrate phosphate.

[0051] The specific implementation method of step S2 is as follows:

[0052] Based on the fertilizer list, precipitation pathways are constructed, including ion precipitation pathways and fertilizer precipitation pathways.

[0053] a. The steps for constructing an ion precipitation pathway are as follows:

[0054] Identify the types of ions in the list of usable fertilizers; for all fertilizers, determine the ions they contain. For example, in common fertilizers such as ammonium nitrate (NH4NO3), it can be determined that they contain ammonium ions (NH4+). + ) and nitrate ions (NO3) - For potassium sulfate (K₂SO₄), it contains potassium ions (K⁻¹). + ) and sulfate ions (SO4) 2- For calcium nitrate tetrahydrate (Ca(NO3)2·4H2O), it contains calcium ions (Ca... 2+ ), nitrate ions (NO3) - ).

[0055] Create an ion list and classify and record all ions in fertilizers, including cations (NH4+). + K + Ca 2+ Fe 2+ (etc.) and anions (NO3) - SO4 2- Cl - wait).

[0056] Based on the principle of chemical precipitation reactions, the ion combinations that can undergo precipitation and the corresponding reaction conditions are determined. Ion reaction chains are constructed between two ions capable of reacting, and all tandem ion reaction chains are defined as all ion precipitation paths. All ion combinations capable of precipitation are represented in the form of a network, with each ion as a node, and ion pairs undergoing precipitation connected by edges. For example, calcium ions (Ca...) 2+ ) and sulfate ions (SO4) 2- It will form calcium sulfate precipitate (CaSO4), therefore calcium ions (Ca) will... 2+ ) and sulfate ions (SO4) 2- ) are used as nodes and connected by edges to form an ion reaction chain (SO4).2- —Ca 2+ Of course, calcium ions (Ca) 2+ It can also interact with other ions (such as CO3). 2- The reaction occurs, so the edges continue to connect, forming an ionic reaction chain (Ca). 2+ CO3 2- Based on this, a complete ion precipitation pathway can be constructed.

[0057] Specifically, in one implementation, the fertilizers that can be used are determined, and the types of ions contained in each fertilizer mainly include the following, as shown in Table 1:

[0058] Table 1. Applicable fertilizers and the types of ions they contain

[0059] 1 <![CDATA[Calcium nitrate tetrahydrate Ca(NO3)2·4H2O]]> <![CDATA[Ca 2+ NO3 - ]]> 2 <![CDATA[Potassium nitrate KNO3]]> <![CDATA[K + NO3 - ]]> 3 <![CDATA[Magnesium nitrate Mg(NO3)2]]> <![CDATA[Mg 2+ NO3 - ]]> 4 <![CDATA[(NH4)2SO4 ammonium sulfate]]> <![CDATA[NH4 + ,SO4 2- ]]> 5 <![CDATA[Ammonium dihydrogen phosphate NH4H2PO4]]> <![CDATA[NH4 + ,H2PO4 - ]]> 6 <![CDATA[Potassium dihydrogen phosphate KH2PO4]]> <![CDATA[K + ,H2PO4 - ]]> 7 <![CDATA[Phosphoric acid H3PO4]]> <![CDATA[H + ,H2PO4 - ]]> 8 <![CDATA[Potassium sulfate K2SO4]]> <![CDATA[K + ,SO4 2- ]]> 9 Potassium chloride (KCl) <![CDATA[K + ,Cl - ]]> 10 <![CDATA[Magnesium sulfate heptahydrate MgSO4·7H2O]]> <![CDATA[Mg 2+ ,SO4 2- ]]> 11 <![CDATA[Zinc sulfate ZnSO4]]> <![CDATA[Zn 2+ ,SO4 2- ]]> 12 <![CDATA[Copper(II) sulfate pentahydrate CuSO4·5H2O]]> <![CDATA[Cu 2+ ,SO4 2- ]]> 13 <![CDATA[Sodium molybdate Na2MoO4]]> <![CDATA[Na + ,MoO4 2- ]]> 14 <![CDATA[Ammonium molybdate NH4MoO4]]> <![CDATA[NH4 + ,MoO4 2- ]]>

[0060] Based on the above types of ions, the cations included are: Ca 2+ K + Mg 2+ NH4 + H + Zn 2+ Cu 2+ Na + The anion is NO3. - SO4 2- H2PO4 - Cl - MoO4 2- Based on the principle of chemical precipitation reaction, the constructed ion precipitation pathway is as follows: Figure 3 As shown.

[0061] b. The steps for constructing a fertilizer sedimentation pathway are as follows:

[0062] Based on the established ion precipitation pathways, all combinations of fertilizers capable of precipitation are identified, fertilizer reaction chains between two fertilizers are constructed, and all tandem fertilizer reaction chains are collected to form fertilizer precipitation pathways. Specifically, in the network formed by ion combinations, each cation node corresponds to a fertilizer containing that cation, and each anion node corresponds to a fertilizer containing that anion, with fertilizers connected by edges forming fertilizer precipitation pathways.

[0063] For each pair of fertilizers, the interactions between ions when they are mixed are analyzed based on the established ion precipitation pathways. For example, ammonium sulfate ((NH4)2SO4) and calcium chloride (CaCl2) are mixed. Ammonium sulfate ((NH4)2SO4) contains ammonium ions (NH4+). + ) and sulfate ions (SO4) 2-Calcium chloride (CaCl2) contains calcium ions (CaCl2). 2+ ) and chloride ions (Cl) - According to the ion precipitation pathway, calcium ions (Ca) 2+ ) and sulfate ions (SO4) 2- A precipitation reaction will occur, so ammonium sulfate ((NH4)2SO4) and calcium chloride (CaCl2) are connected by edges to form a fertilizer reaction chain.

[0064] When mixing multiple fertilizers, the fertilizer reaction chain needs to be extended. For example, if sodium carbonate (Na₂CO₃) is added, due to the presence of calcium ions (Ca... 2+ It will also react with carbonate ions (CO3). 2- The reaction chain is further extended, eventually forming fertilizer precipitation pathways. These precipitation pathways can be stored in network, list, or graph form to account for the impact of precipitation on fertilizer formulation when determining fertilizer formulations.

[0065] In this step, by constructing detailed ion precipitation pathways and fertilizer precipitation pathways, the precipitation reaction during fertilizer mixing is fully considered, effectively avoiding nutrient loss caused by precipitation, improving fertilizer utilization, thereby enhancing fertilization effect and ensuring the growth needs of crops.

[0066] Specifically, based on the ion precipitation pathways constructed using the fertilizers disclosed in Table 1, each ion node corresponds to a fertilizer containing that ion, represented by an ID number. The final fertilizer precipitation pathway is then constructed using the provided data. Figure 4 As shown.

[0067] In summary, the final instance data is disclosed in Table 2 below:

[0068] Table 2. Fertilizer and Sedimentation Pathways

[0069]

[0070]

[0071] The specific implementation method of step S3 is as follows:

[0072] Identify all fertilizer formulations that meet the fertilizer application request information and prioritize them.

[0073] In the step of determining all fertilizer formulations that meet the fertilizer application request information, a linear programming algorithm is used to generate fertilizer formulations that meet the requirements, based on the crop type, soil nutrient data, crop micronutrient requirements, water quality data, type of acid used, and fertilizer sedimentation path in the fertilizer application request information. Here, the fertilizer formulation is used as the decision variable, the fertilizer application request information is used as the constraint condition, and the optimization index of the fertilizer formulation is used as the objective function. The fertilizer formulation that meets the requirements is obtained by solving a linear rule problem.

[0074] Specifically, let Xi represent the amount of fertilizer used for the i-th type, i = 1, 2, 3, ..., n; n is the number of types of fertilizer used. These decision variables represent the specific amount of each type of fertilizer that we need to solve for. For example, X1 is the amount of nitrogen fertilizer used, X2 is the amount of phosphate fertilizer used, etc.

[0075] The objective function is defined based on the specific optimization objective, such as minimizing fertilizer application costs.

[0076] The specific implementation method of step S4 is as follows:

[0077] The fertilizer formula is determined based on the priority ranking result and then output.

[0078] In the priority ranking process, the ranking rules are based on several factors, including fertilizer purchase cost, ease of acquisition, and usage amount. They may also include the current soil EC and pH values. Weights are assigned to all these factors. For example, for crops sensitive to soil pH, the weight of soil pH can be set to 0.3; in areas where fertilizer acquisition is difficult, the weight of ease of acquisition can be set to 0.2; based on the different growth characteristics and fertilizer requirements of various crops, the weight of fertilizer usage is set to 0.2; fertilizer purchase cost is set to 0.2; and soil EC value is set to 0.1. For each fertilizer formula, a comprehensive score is calculated based on the values ​​of its corresponding fertilizer purchase cost, ease of acquisition, usage amount, current soil EC and pH values, combined with the assigned weights.

[0079] In practical applications, the EC and pH values ​​of the soil need to be considered for plants that are sensitive to soil conditions, have poor soil properties, or are prone to abnormal growth; however, for fast-growing plants that are planted for a short period of time and plants with strong adaptability, the EC and pH values ​​of the soil do not need to be considered too much.

[0080] In one implementation, the output fertilizer formula is determined, and the sorting rules are based on the fertilizer's purchase cost, ease of acquisition, and usage amount, with equal weights assigned, as detailed in Tables 3, 4, and 5:

[0081] Table 3. Fertilizer Formulation 1

[0082] "Calcium nitrate tetrahydrate (Ca(NO3)2·4H2O) Price: 50 Difficulty of acquisition: 1 mole weight: 236.15" "13% EDTA Iron (Fe-EDTA) Price: 80 Difficulty of Obtaining: 1 Mole Weight: 429.61" "Ammonium dihydrogen phosphate (NH4H2PO4) Price: 25 Difficulty of obtaining: 1 mole weight: 115.03" "Magnesium sulfate monohydrate (MgSO4·H2O) Price: 40 Difficulty of acquisition: 1 mole weight: 138.38" Borax (Na2B4O7·10H2O) Price: 25; Difficulty of Obtaining: 1 mole weight: 381.37 "Copper sulfate pentahydrate (CuSO4·5H2O) Price: 70 Difficulty of acquisition: 1 mole weight: 249.68" Zinc sulfate (ZnSO4) Price: 55; Difficulty of acquisition: 1 mole weight: 161.44 "Manganese sulfate (MnSO4) price: 50; Difficulty of acquisition: 1 mole weight: 151" Sodium molybdate (Na₂MoO₄) Price: 16000; Difficulty of acquisition: 1 mole weight: 241.86. Potassium chloride (KCl) Price: 20; Difficulty of acquisition: 1 mole weight: 74.55

[0083] Table 4: Fertilizer Formula 2

[0084] "Calcium EDTA (Ca-EDTA) Price: 60 Difficulty of Obtaining: 1 Mole Weight: 25050" "EDDHA Iron (Fe-EDDHA) Price: 100 Difficulty of Obtaining: 1 Mole Weight: 372.33" Potassium dihydrogen phosphate (KH2PO4) Price: 35 Difficulty of obtaining: 1 mole weight: 136.09 "Magnesium sulfate heptahydrate (MgSO4·7H2O) Price: 45 Difficulty of obtaining: 1 mole weight: 246.47" "Copper sulfate pentahydrate (CuSO4·5H2O) Price: 70 Difficulty of acquisition: 1 mole weight: 249.68" Boric acid (H3BO3) Price: 25; Difficulty of obtaining: 1 mole weight: 61.83 "13% chelated copper (Cu-EDTA) Price: 80 Difficulty of acquisition: 1 mole weight: 488.84" "13% chelated zinc (Zn-EDTA) Price: 65 Difficulty of acquisition: 1 mole weight: 502.92" "13% chelated manganese (Mn-EDTA) Price: 60 Difficulty of acquisition: 1 mole weight: 422.61" "Ammonium molybdate (NH4MoO4) Price: 108,000 Difficulty of acquisition: 1 mole weight: 196.86" Potassium chloride (KCl) price: 20; Difficulty of obtaining: 1 mole weight: 74.55 "Ammonium dihydrogen phosphate (NH4H2PO4) Price: 25 Difficulty of obtaining: 1 mole weight: 115.03" Potassium nitrate (KNO3) Price: 30 Difficulty of acquisition: 1 mole weight: 101.1

[0085] Table 5: Fertilizer Formula 3

[0086]

[0087]

[0088] For the three fertilizer formulas mentioned above, a comprehensive score is calculated based on the weighted settings, resulting in a priority ranking: Fertilizer Formula 1, Fertilizer Formula 3, and Fertilizer Formula 2. Ultimately, based on this priority ranking, the number of fertilizer formulas is determined to be the same as the number of fertilizer containers. After confirmation, the fertilizer from each formula is added to the fertilizer containers sequentially. If the fertilizer request information indicates two fertilizer containers, then the two highest-priority fertilizer formulas, namely Fertilizer Formula 1 and Fertilizer Formula 3, are selected. These fertilizer formulas are displayed to the user on the system interface. After user confirmation, the system adds the fertilizer to the corresponding fertilizer containers sequentially according to the type and amount of fertilizer in each formula.

[0089] The above embodiments are merely illustrative of the technical concept and features of the present invention, intended to enable those skilled in the art to understand the content of the present invention and implement it accordingly, and should not be construed as limiting the scope of protection of the present invention. It will be apparent to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects. The scope of the present invention is defined by the appended claims rather than the foregoing description, and thus all changes falling within the meaning and scope of the equivalents of the claims are intended to be included within the present invention.

Claims

1. A method of intelligent fertilizer blending, characterized in that, include: S1. The system receives fertilizer blending request information and obtains a list of all available fertilizers based on the fertilizer blending request information; S2. Based on the fertilizer list, construct precipitation paths, including ion precipitation paths and fertilizer precipitation paths; The steps for constructing an ion precipitation pathway are as follows: Determine the types of ions in the list of fertilizers that can be used; Based on the principle of chemical precipitation reaction, the combination of ions that can undergo precipitation reaction and the corresponding reaction conditions are determined; and an ion reaction chain is constructed between two ions that can react, and all tandem ion reaction chains are defined as the ion precipitation path. The steps to construct a fertilizer sedimentation pathway are as follows: Based on the ion precipitation pathway, a fertilizer reaction chain between the two fertilizers is constructed, and all tandem fertilizer reaction chains are defined as the fertilizer precipitation pathway. S3. Determine all fertilizer formulas that meet the fertilizer application request information and prioritize them. S4. Determine the fertilizer formula based on the priority ranking results and output it; In the process of constructing the ion precipitation path, the ions contained in all fertilizers are determined, an ion list is established, and the ions in all fertilizers are classified and recorded, including cations and anions; then, all ions that can undergo precipitation reactions are represented in the form of a network, with each ion as a node, and the ion pairs that undergo precipitation reactions are connected by edges. In the process of constructing the fertilizer precipitation pathway, based on the established ion precipitation pathway, all combinations of fertilizers that can precipitate are determined, and all tandem fertilizer reaction chains are collected to form the fertilizer precipitation pathway.

2. The intelligent fertilizer blending method according to claim 1, characterized in that, The specific steps in constructing the fertilizer sedimentation pathway are as follows: In the network formed by ion combinations, each cation node corresponds to a fertilizer containing that cation, and each anion node corresponds to a fertilizer containing that anion. Fertilizer precipitation paths are formed between fertilizers connected by edges.

3. The intelligent fertilizer blending method according to claim 2, characterized in that: The fertilizer application request information includes crop type, soil nutrient data, crop micronutrient requirements, and type of acid to be used.

4. The intelligent fertilizer blending method according to claim 3, characterized in that: In the step of determining all fertilizer formulas that meet the fertilizer application request information, a linear programming algorithm is used to generate fertilizer formulas that meet the requirements based on the crop type, soil nutrient data, crop micronutrient requirements, type of acid used, and fertilizer precipitation path in the fertilizer application request information. In this system, the fertilizer formula is used as a decision variable, the fertilizer application request information is used as a constraint, the optimization index of the fertilizer formula is used as the objective function, and the fertilizer formula that meets the requirements is obtained by solving a linear rule problem.

5. The intelligent fertilizer blending method according to claim 1, characterized in that: In the priority ranking step, the reference elements of the ranking rules include fertilizer purchase cost, ease of acquisition, usage amount, and the current soil EC value and pH value, and weights are assigned to all reference elements.

6. The intelligent fertilizer blending method according to claim 4, characterized in that: The fertilizer application request information also includes the number of fertilizer bins. Based on the priority ranking result, the number of fertilizer formulas is determined to be the same as the number of fertilizer bins. After the output fertilizer formula is confirmed, the fertilizer in each fertilizer formula is added to the fertilizer bins in sequence.

7. An intelligent fertilizer blending system, characterized in that: Used to perform the intelligent fertilizer blending method according to any one of claims 1-6.

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