Intelligent fertilizer preparation method and system

Abstract

The invention relates to the technical field of agricultural fertilizer preparation, in particular to an intelligent fertilizer preparation method and system.The method comprises the steps that S1, the system receives fertilizer preparation request information and obtains a list of all usable fertilizers based on the fertilizer preparation request information; s2, based on the fertilizer list, constructing precipitation paths including an ion precipitation path and a fertilizer precipitation path; s3, determining all fertilizer formulas meeting the fertilizer preparation request information, and performing priority ranking; and S4, determining a fertilizer formula based on a priority ranking result, and outputting the fertilizer formula. Through detailed construction of the ion precipitation path and the fertilizer precipitation path, the precipitation reaction in the fertilizer mixing process is comprehensively considered, nutrient loss caused by precipitation is effectively avoided, the fertilizer utilization rate is increased, the fertilization effect is improved, and the growth requirements of crops are guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of agricultural fertilizer distribution, and in particular to an intelligent fertilizer distribution method and system. Background Art

[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 empirical judgment, which may lead to problems such as fertilizer waste or soil pollution. In addition, the complexity of the planting environment (such as soil type, climatic conditions, crop requirements, etc.) also makes it difficult for a single formula to meet diverse needs. Therefore, fertilizer allocation solutions based on precise analysis and data-driven have become an important direction for the current development of agricultural technology.

[0003] There are already some fertilizer ratio and fertilization suggestion tools on the market, which can be divided into the following categories:

[0004] (1) Formula-based fertilizer allocation tools: This tool helps farmers determine the amount of fertilizer to use through preset recipes and simple calculation formulas.

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

[0006] Disadvantages: Dynamic changes in soil, plants and environment are not taken into account, and the recommended formulas are often general and less accurate.

[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: Able to recommend fertilizer formula based on actual soil conditions.

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

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

[0011] Advantages: It realizes the automation of fertilization process.

[0012] Disadvantages: The equipment is expensive, has a high threshold for use, and is mostly suitable for 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: Taking into account multiple factors, the recommended plan is more scientific.

[0015] Disadvantages: It relies on a large amount of data input and complex calculation models, is complex to operate, and has limited applicability to ordinary farmers. Summary of the invention

[0016] The purpose of the present invention is to provide an intelligent fertilizer distribution method and system to solve the problem that the fertilizer distribution demand cannot be met due to the inability to efficiently construct a sedimentation path in the prior art.

[0017] The technical solution of the present invention is: an intelligent fertilizer distribution method and system, comprising:

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

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

[0020] The steps to construct the ion precipitation path are:

[0021] Determine the ion types from the list of fertilizers that can be used;

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

[0023] The steps to construct the fertilizer precipitation path are:

[0024] Based on the ion precipitation path, a fertilizer reaction chain between two fertilizers is constructed, and all series-connected fertilizer reaction chains are defined as the fertilizer precipitation path;

[0025] S3, determining all fertilizer formulas that meet the fertilizer request information and prioritizing them;

[0026] S4. Determine the fertilizer formula based on the priority sorting 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 path, the combinations of all fertilizers that can be precipitated are determined based on the determined ion precipitation paths, and all series-connected fertilizer reaction chains are collected to form a fertilizer precipitation path.

[0029] Preferably, in the process of constructing the fertilizer precipitation path, specifically:

[0030] In the network formed by the combination of ions, each node position of a cation corresponds to a fertilizer containing the cation, and each node position of an anion corresponds to a fertilizer containing the anion, and a fertilizer precipitation path is formed between the fertilizers connected by edges.

[0031] Preferably, the fertilizer request information includes crop types, soil nutrient data, crop trace element requirements, and acid types used.

[0032] Preferably, in the step of determining all fertilizer formulas that meet the fertilizer request information, a linear programming algorithm is used to generate a fertilizer formula that meets the requirements according to the crop type, soil nutrient data, crop trace element requirements, acid type used, and fertilizer precipitation path in the fertilizer request information;

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

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

[0035] Preferably, the fertilizer request information also includes information on the number of fertilizer barrels. Based on the priority sorting result, it is determined that the number of fertilizer formulas is the same as the number of fertilizer barrels. After the output fertilizer formula is confirmed, the fertilizers in each group of the fertilizer formulas are added to the fertilizer barrels in turn.

[0036] The present application also discloses an intelligent fertilizer allocation system for executing the above-mentioned intelligent fertilizer allocation method.

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

[0038] (1) Through the construction of detailed ion precipitation pathways and fertilizer precipitation pathways, the precipitation reaction during the fertilizer mixing process is fully considered, which effectively avoids nutrient loss caused by precipitation and improves fertilizer utilization, thereby improving the fertilization effect and ensuring the growth needs of crops.

[0039] (2) The fertilizer formula is prioritized by comprehensively considering a variety of factors, including fertilizer purchase cost, ease of acquisition, usage, and the current soil EC value and pH value. This allows the optimal fertilizer formula to be quickly determined based on actual conditions, thereby improving fertilizer mixing efficiency and reducing production costs.

[0040] (3) Based on multi-source fertilizer request information such as crop types, soil nutrients, and meteorological conditions, combined with a linear programming algorithm, a more accurate fertilizer formula that meets actual needs is generated to meet the fertilization requirements of different crops in different growth environments, which helps to achieve precision and intelligent agricultural production and promote sustainable agricultural development. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0042] Figure 1 This is a flow chart of an intelligent fertilizer distribution method according to the present invention;

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

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

[0045] Figure 4 The fertilizer precipitation path network diagram constructed in one embodiment of the present invention. DETAILED DESCRIPTION

[0046] The present invention is further described in detail below in conjunction with specific embodiments:

[0047] like Figure 1 As shown, an intelligent fertilizer distribution method is performed by an intelligent fertilizer distribution system, and specifically includes the following steps:

[0048] The specific implementation of step S1 is:

[0049] The system receives fertilizer request information, including crop types (e.g., blueberries, wheat, corn, etc.), crop trace element requirements (e.g., ammonium salts, nitrates, chlorides, bicarbonates, etc.), water quality data (including constant and trace elements in water), acid types (e.g., sulfuric acid, H 2 SO 4 ), soil nutrient data (such as nitrogen, phosphorus, potassium content, soil pH, etc.), and the number of fertilizer barrels, the system integrates and receives this information. Figure 2 FIG. 1 is an input interface for fertilizer request information in one implementation mode.

[0050] Based on the fertilizer request information, the system accesses the fertilizer database. For example, when the crop is wheat and the soil nitrogen content is low, the system will screen out fertilizers that are suitable for wheat growth and can supplement nitrogen, and obtain a list of various fertilizers including urea, ammonium nitrate, etc. For another example, when the crop's demand for trace elements includes nitrates, the system will obtain a list of various fertilizers including ammonium nitrate, nitrophosphate, etc.

[0051] The specific implementation of step S2 is:

[0052] Based on the fertilizer list, the precipitation path is constructed, including the ion precipitation path and the fertilizer precipitation path.

[0053] a. The steps to construct the ion precipitation path are:

[0054] Determine the ions in the list of fertilizers that can be used; for all fertilizers, determine the ions they contain, for example, in common fertilizers such as ammonium nitrate (NH 4 NO 3 ), it can be determined that it contains ammonium ions (NH 4 + ) and nitrate ions (NO 3 - ); for potassium sulfate (K 2 SO 4 ), contains potassium ions (K + ) and sulfate ions (SO 4 2- ); for calcium nitrate tetrahydrate (Ca(NO 3 ) 2 ·4H 2 O), contains calcium ions (Ca 2+ ), nitrate ion (NO 3 - ).

[0055] Create an ion list and record the ions in all fertilizers, including cations (NH 4 + , K + , Ca 2+ , Fe 2+ etc.) and anions (NO 3 - 、SO 4 2- , C l - wait).

[0056] Based on the principle of chemical precipitation reaction, the ion combination and corresponding reaction conditions for precipitation reaction are determined; an ion reaction chain is constructed between two ions that can react, and all series of ion reaction chains are defined as all ion precipitation paths; among them, all ion combinations that can undergo precipitation reaction are represented in the form of a network, each ion is used as a node, and the ion pairs that undergo precipitation reaction are connected by edges; for example: calcium ion (Ca 2+ ) and sulfate ions (SO 4 2- ) will form calcium sulfate precipitation (CaSO 4 ), so calcium ions (Ca 2+ ) and sulfate ions (SO 4 2- ) as nodes and connected by edges to form an ion reaction chain (SO 4 2- ——Ca 2+ Of course, calcium ions (Ca 2+ ) will also react with other ions (such as CO 3 2- ) react, so continue to connect with the edge to form an ion reaction chain (Ca 2+ ——CO 3 2- ), based on which a complete ion precipitation pathway is constructed.

[0057] Specifically, in one embodiment, the fertilizers that can be used and the types of ions contained in each fertilizer mainly include the following, with reference to Table 1:

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

[0059] ID Number fertilizer Ion type 1 <![CDATA[Calcium nitrate tetrahydrate Ca(NO 3 ) 2 ·4H 2 O]]> <![CDATA[Ca 2+ ,NO 3 - ]]> 2 <![CDATA[Potassium nitrate KNO 3 > <![CDATA[K + ,NO 3 - ]]> 3 <![CDATA[Magnesium nitrate Mg(NO 3 ) 2 > <![CDATA[Mg 2+ ,NO 3 - ]]> 4 <![CDATA[Ammonium sulfate (NH 4 ) 2 SO 4 > <![CDATA[NH 4 + ,SO 4 2- ]]> 5 <![CDATA[Ammonium dihydrogen phosphate NH 4 H 2 PO 4 > <![CDATA[NH 4 + ,H 2 PO 4 - ]]> 6 <![CDATA[Potassium dihydrogen phosphate KH 2 PO 4 > <![CDATA[K + ,H 2 PO 4 - ]]> 7 <![CDATA[Phosphoric acid H 3 PO 4 > <![CDATA[H + ,H 2 PO 4 - ]]> 8 <![CDATA[Potassium sulfate K 2 SO 4 > <![CDATA[K + ,SO 4 2- ]]> 9 Potassium Chloride (KCl) <![CDATA[K + ,Cl - ]]> 10 <![CDATA[Magnesium sulfate heptahydrate MgSO 4 ·7H 2 O]]> <![CDATA[Mg 2+ ,SO 4 2- ]]> 11 <![CDATA[Zinc sulfate ZnSO 4 > <![CDATA[Zn 2+ ,SO 4 2- ]]> 12 <![CDATA[Copper(II) sulfate pentahydrate CuSO 4 ·5H 2 O]]> <![CDATA[Cu 2+ ,SO 4 2- ]]> 13 <![CDATA[Sodium molybdate Na 2 MoO 4 > <![CDATA[Na + ,MoO 4 2- ]]> 14 <![CDATA[Ammonium molybdate NH 4 MoO 4 > <![CDATA[NH 4 + ,MoO 4 2- ]]>

[0060] Based on the above ion types, the cations included are: Ca 2+ , K + ,Mg 2+ , NH 4 + , H + , Zn 2+ , Cu 2+ , Na + ; Anion: NO 3 - , SO 4 2- , H 2 PO 4 - , C l - ,MoO 4 2-Based on the principle of chemical precipitation reaction, the ion precipitation path constructed is as follows Figure 3 shown.

[0061] b. The steps of constructing the fertilizer precipitation path are:

[0062] According to the determined ion precipitation path, determine the combination of all fertilizers that can precipitate, construct a fertilizer reaction chain between two fertilizers, and collect all the fertilizer reaction chains in series to form a fertilizer precipitation path. Specifically, in the network formed by the ion combination, each cation node position corresponds to the fertilizer containing the cation, and each anion node position corresponds to the fertilizer containing the anion, and the fertilizer precipitation path is formed between the fertilizers connected by edges.

[0063] For each of the two fertilizers, the interactions between the ions when they are mixed are analyzed based on the identified ion precipitation pathways. 4 ) 2 SO 4 ) and calcium chloride (CaCl 2 ) mixed with ammonium sulfate (NH 4 ) 2 SO 4 ) contains ammonium ions (NH 4 + ) and sulfate ions (SO 4 2- ), calcium chloride (CaCl 2 ) contains calcium ions (Ca 2+ ) and chloride ions (Cl - ). According to the ion precipitation pathway, calcium ions (Ca 2+ ) and sulfate ions (SO 4 2- ) will undergo precipitation reaction, so ammonium sulfate ((NH 4 ) 2 SO 4 ) and calcium chloride (CaCl 2 ) are connected by edges to form a fertilizer reaction chain.

[0064] For the mixture of multiple fertilizers, the fertilizer reaction chain needs to be extended. Suppose sodium carbonate (Na 2 CO 3 ), due to calcium ions (Ca 2+ ) will also react with carbonate ions (CO 3 2- ) reaction, so the fertilizer reaction chain will be further extended to eventually form a fertilizer precipitation path. These fertilizer precipitation paths can be stored in the form of a network, list, or graph, so that the effect of precipitation on fertilizer formulation can be considered when determining the fertilizer formula later.

[0065] In this step, by constructing detailed ion precipitation paths and fertilizer precipitation paths, the precipitation reaction during the fertilizer mixing process is fully considered, effectively avoiding nutrient loss due to precipitation, and improving fertilizer utilization, thereby improving fertilization effects and ensuring the growth needs of crops.

[0066] Specifically, based on the ion precipitation path constructed by the fertilizer disclosed in Table 1, the node position of each ion corresponds to the fertilizer containing the ion, represented by an ID number, and the fertilizer precipitation path finally formed is referred to Figure 4 shown.

[0067] Based on the above, the final instance data is disclosed in Table 2:

[0068] Table 2. Fertilizers and precipitation paths

[0069]

[0070]

[0071] The specific implementation of step S3 is:

[0072] Identify and prioritize all fertilizer recipes that meet the fertilizer request information.

[0073] In the step of determining all fertilizer formulas that meet the fertilizer request information, a linear programming algorithm is used to generate a fertilizer formula that meets the requirements based on the crop type, soil nutrient data, crop trace element requirements, water quality data, acid type used, and fertilizer precipitation path in the fertilizer request information; wherein the fertilizer formula is used as a decision variable, the fertilizer request information is used as a constraint condition, and the optimization index of the fertilizer formula is used as an objective function, and a fertilizer formula that meets the requirements is obtained by solving a linear rule problem.

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

[0075] The definition of the objective function is determined based on the specific optimization goal, such as minimizing the fertilizer cost.

[0076] The specific implementation of step S4 is:

[0077] The fertilizer formula is determined based on the priority sorting results and output.

[0078] In the step of prioritization, the reference elements of the sorting rules include fertilizer purchase cost, accessibility, usage, and the current soil EC value and pH value, and all reference elements are weighted. For example, for crops that are sensitive to soil acidity and alkalinity, the weight of soil pH value can be set to 0.3; in areas where fertilizer access is difficult, the weight of fertilizer access can be set to 0.2; according to the growth characteristics and fertilizer requirements of different crops, the weight of fertilizer usage is set to 0.2; the weight of fertilizer purchase cost is set to 0.2; the weight of soil EC value is set to 0.1. For each fertilizer formula, the comprehensive score is calculated based on the corresponding fertilizer purchase cost, accessibility, usage, current soil EC value and pH value and other reference elements, combined with the set weights.

[0079] In actual application, the EC value and pH value of the soil need to be considered for plants that are sensitive to soil conditions, have poor soil properties, and are prone to abnormal growth; while for short-term planting, fast-growing plants, and plants with strong adaptability, there is no need to consider the EC value and pH value of the soil too much.

[0080] In one embodiment, the output fertilizer formula is determined, and the sorting rules refer to the purchase cost, acquisition difficulty, and usage of the fertilizer, and are configured with the same weight, specifically referring to Table 3, Table 4, and Table 5:

[0081] Table 3. Fertilizer formula 1

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

[0083] Table 4: Fertilizer formula 2

[0084] Fertilizer formula 2 "Calcium EDTA (Ca-EDTA) price 60 difficulty to obtain 1 mole weight 25050", "EDDHA Iron (Fe-EDDHA) Price 100 Difficulty of Obtaining 1 Molar Weight 372.33" "Potassium dihydrogen phosphate (KH2PO4) price 35 difficulty to obtain 1 molar weight 136.09", "Magnesium sulfate heptahydrate (MgSO4·7H2O) price 45 difficulty to obtain 1 molar weight 246.47", "Copper sulfate pentahydrate (CuSO4·5H2O) price 70 difficulty to obtain 1 molar weight 249.68", "Boric acid (H3BO3) price 25 difficulty to obtain 1 molar weight 61.83", "13% chelated copper (Cu-EDTA) price 80 difficulty to obtain 1 mole weight 488.84", "13% chelated zinc (Zn-EDTA) price 65 difficulty to obtain 1 mole weight 502.92", "13% Chelated Manganese (Mn-EDTA) Price 60 Difficulty of Obtaining 1 Mol Weight 422.61", "Ammonium molybdate (NH4MoO4) price 108000 difficulty to obtain 1 mole weight 196.86", "Potassium chloride (KCl) price 20 difficulty to obtain 1 molar weight 74.55", "Ammonium dihydrogen phosphate (NH4H2PO4) price 25 difficulty to obtain 1 molar weight 115.03", "Potassium nitrate (KNO3) price 30 difficulty to obtain 1 molar weight 101.1"

[0085] Table 5: Fertilizer formula 3

[0086]

[0087]

[0088] For the above three fertilizer formulas, combined with the weight setting, the comprehensive score is calculated, and the priority ranking is: Fertilizer Formula 1, Fertilizer Formula 3, Fertilizer Formula 2. Finally, based on the priority ranking results, it is determined that the number of fertilizer formulas is the same as the number of fertilizer barrels. After the output fertilizer formula is confirmed, the fertilizers in each group of fertilizer formulas are added to the fertilizer barrels in sequence. If the number of fertilizer barrels in the fertilizer request information is 2, then the two groups of fertilizer formulas with the highest priority are determined, namely Fertilizer Formula 1 and Fertilizer Formula 3. These fertilizer formulas are displayed to the user on the system interface. After the user confirms, the system adds the fertilizers to the corresponding fertilizer barrels in sequence according to the type and amount of fertilizers in each group of fertilizer formulas.

[0089] The above embodiments are only for illustrating the technical concept and features of the present invention, and their purpose is to enable people familiar with this technology to understand the content of the present invention and implement it accordingly, and they cannot be used to limit the scope of protection of the present invention. For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or basic features of the present invention. Therefore, no matter from which point of view, the embodiments should be regarded as exemplary and non-restrictive. The scope of the present invention is limited by the attached claims rather than the above description, and it is intended to include all changes within the meaning and scope of the equivalent elements of the claims in the present invention.

Claims

1. An intelligent fertilizer distribution method, characterized in that: include: S1. The system receives fertilizer request information and obtains a list of all available fertilizers based on the fertilizer request information; S2. Based on the fertilizer list, construct a precipitation path, including an ion precipitation path and a fertilizer precipitation path; The steps to construct the ion precipitation path are: Determine the ion types from the list of fertilizers that can be used; Based on the principle of chemical precipitation reaction, the ion combination and corresponding reaction conditions for precipitation reaction are determined; and an ion reaction chain is constructed between two ions that can react, and all series-connected ion reaction chains are defined as the ion precipitation path; The steps to construct the fertilizer precipitation path are: Based on the ion precipitation path, a fertilizer reaction chain between two fertilizers is constructed, and all series-connected fertilizer reaction chains are defined as the fertilizer precipitation path; S3, determining all fertilizer formulas that meet the fertilizer request information and prioritizing them; S4. Determine the fertilizer formula based on the priority sorting results and output it.

2. An intelligent fertilizer distribution method according to claim 1, characterized in that: 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 the ion pairs that undergo precipitation reactions are connected by edges; In the process of constructing the fertilizer precipitation path, the combinations of all fertilizers that can be precipitated are determined based on the determined ion precipitation paths, and all series-connected fertilizer reaction chains are collected to form a fertilizer precipitation path.

3. An intelligent fertilizer distribution method according to claim 2, characterized in that: In the process of constructing the fertilizer precipitation path, specifically: In the network formed by the combination of ions, each node position of a cation corresponds to a fertilizer containing the cation, and each node position of an anion corresponds to a fertilizer containing the anion, and a fertilizer precipitation path is formed between the fertilizers connected by edges.

4. An intelligent fertilizer distribution method according to claim 2, characterized in that: The fertilizer request information includes crop types, soil nutrient data, crop trace element requirements, and acid types used.

5. An intelligent fertilizer distribution method according to claim 4, characterized in that: In the step of determining all fertilizer formulas that meet the fertilizer request information, a linear programming algorithm is used to generate a fertilizer formula that meets the requirements according to the crop type, soil nutrient data, crop trace element requirements, acid type used, and fertilizer precipitation path in the fertilizer request information; The fertilizer formula is used as a decision variable, the fertilizer request information is used as a constraint condition, and the optimization index of the fertilizer formula is used as an objective function. The fertilizer formula that meets the requirements is obtained by solving the linear rule problem.

6. An intelligent fertilizer distribution method according to claim 1, characterized in that: In the step of performing the priority sorting, the reference elements of the sorting rules include the fertilizer purchase cost, the difficulty of obtaining, the usage amount, and the EC value and pH value of the current soil, and weights are allocated to all the reference elements.

7. An intelligent fertilizer distribution method according to claim 4, characterized in that: The fertilizer request information also includes the quantity information of the fertilizer barrels. Based on the priority sorting result, it is determined that the quantity of the fertilizer formulas is the same as the quantity of the fertilizer barrels. After the output fertilizer formulas are confirmed, the fertilizers in each group of the fertilizer formulas are added to the fertilizer barrels in turn.

8. An intelligent fertilizer distribution system, characterized in that: Used to execute the intelligent fertilizer distribution method described in any one of claims 1 to 7.

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