Management system for manufacturing improved soil

Abstract

The invention discloses a management system for manufacturing improved soil, and relates to the technical field of soil management, according to the planting demand of a user, a planting area is subjected to gridding division to obtain sub-areas, and the improvement strategy, the planted crops and the planting density of each sub-area are determined by using historical improvement records; after the improved soil is manufactured, soil data are collected for multiple times, the stability and qualification of the soil environment are analyzed, the sub-regions with poor improvement effects are selected for improvement and adjustment, planting is carried out until the improvement effects of the soil environment of the sub-regions become good, automatic and intelligent distribution of planting is achieved, and the planting efficiency is improved. The workload of workers is reduced, the adaptability of areas and crops is improved, the yield of the crops is guaranteed, the cost of improving soil is controlled, and the planting profit of the crops is improved.

Description

Technical Field

[0001] This invention relates to the field of soil management technology, and more specifically to a management system for producing improved soil. Background Art

[0002] With the continuous development of modern agriculture and the ecological environment, the requirements for soil quality are becoming increasingly stringent. Soil improvement management systems can scientifically and precisely improve soil quality to meet the specific needs of different crops and environments, thereby increasing crop yield and quality and promoting green and sustainable agricultural development.

[0003] Existing technologies, such as the invention patent application with publication number CN116432420A, disclose a management system for manufacturing improved soil, including a) an improved soil information input device; b) a raw material soil information input device; c) a setting storage device; and d) a setting condition determination device. In the management system of this invention, based on past construction performance, the combination of materials and additives that meet the improvement goals, as well as the factory specifications that can achieve the best improved quality, is database-ized. By incorporating this into the factory system, the factory specifications can be optimized to produce high-quality and stable improved soil. Furthermore, the soil moisture content and strength, as well as the quality of the improved soil, are measured during the manufacturing process. By reflecting these data in real time to the factory system, the accuracy of the system can be improved, as well as the quality and productivity of the improved soil.

[0004] The aforementioned technologies can realize an intelligent soil improvement process, but for large-scale planting areas, the above improvements have at least the following shortcomings: 1. In large-scale planting areas, it may be necessary to plant a variety of crops, and different crops require different soil environments. When making improved soil, it is necessary to manually divide the corresponding planting area for each crop, and then make equipment to improve the soil in different planting areas. The above scheme does not analyze the harvest rate under various planting densities and various soil environments based on historical records in each area, and then select the soil environment and planting density with high harvest rate to automatically allocate the best planting crop and planting density to each sub-area. It cannot reflect the automation and intelligence of crop planting allocation, nor can it provide data support for subsequent soil improvement strategies in each area, thus reducing the effectiveness of soil improvement.

[0005] 2. In addition, when there is a high demand for soil improvement in large-scale planting areas, reasonable control of improvement costs can increase crop planting profits. However, the above scheme does not select a strategy with lower improvement costs based on the types of crops to be planted in each area, thus failing to effectively control the cost of soil improvement and reducing crop planting profits.

[0006] 3. The quality and effectiveness of improved soil are not only related to the data in the soil, but also to the stability of the soil. After improvement, ensuring the stability of soil quality can ensure the normal growth of crops in subsequent planting. However, the above scheme did not collect soil data multiple times when analyzing soil quality, and did not analyze the stability of the soil environment. This cannot guarantee the reliability and accuracy of the soil quality analysis results, thus failing to guarantee the normal growth of crops in subsequent planting, affecting crop yield and quality, and reducing crop sales profits. Summary of the Invention

[0007] In view of the above-mentioned technical deficiencies, the purpose of this invention is to provide a management system for manufacturing improved soil.

[0008] To solve the above-mentioned technical problems, the present invention adopts the following technical solution: The present invention provides a management system for manufacturing improved soil, including: a planting demand input module, a soil testing module, and a server.

[0009] The planting demand input module is used to input the preset planting demand corresponding to the planting area, wherein the preset planting demand includes a preset set of crop types and the planting quantity corresponding to each crop type.

[0010] The soil detection module is used to divide the planting area into grids to obtain sub-regions. Before soil improvement, the initial soil data of each sub-region is collected and sent to the server.

[0011] The server includes a preliminary planting analysis module, an improvement strategy analysis module, an improvement monitoring module, and a planting confirmation module.

[0012] The preliminary planting analysis module is used to analyze the planting area and required soil data for each crop type based on the preset planting requirements within the planting area.

[0013] The improvement strategy analysis module is used to obtain the historical improvement record table of each sub-region from the historical improvement record, and use the initial soil data of each sub-region to analyze the soil improvement strategy and suitable crop types for each sub-region, and carry out improvement according to the soil improvement strategy of each sub-region.

[0014] The soil detection module is also used to collect soil data of each sub-region at each collection time interval after the soil of each sub-region has been improved according to the soil improvement strategy of each sub-region, and then send it to the server.

[0015] The server's soil improvement monitoring module is used to analyze the improvement effect of each sub-region using soil data collected at each time, and to make corresponding improvement adjustments.

[0016] The planting confirmation module is used to summarize the types of crops to be planted and the required planting density for each sub-region after all sub-regions have been improved and adjusted, generate a suitable planting plan for each sub-region, and then send the suitable planting plan for each sub-region to the display for display.

[0017] The beneficial effects of this invention are as follows: 1. This invention provides a management system for creating improved soil. According to the user's planting needs, the planting area is divided into sub-regions by gridding. Historical improvement records are used to confirm the improvement strategy, crops, and planting density of each sub-region. After the improved soil is created, soil data is collected multiple times to analyze the stability and suitability of the soil environment. Sub-regions with poor improvement effects are selected for improvement and adjustment until the improvement effect of the soil environment in each sub-region is improved before planting. This realizes the automation and intelligent allocation of crop planting, reduces the amount of manual labor, increases the adaptability of regions and crops, ensures crop yield, and improves crop planting profits.

[0018] 2. When analyzing the improvement strategy for each sub-region, this invention selects the strategy with lower improvement cost based on the type of crop to be planted in each sub-region and the cost of the improvement strategy, thereby effectively controlling the cost of soil improvement and ensuring the profit of crop planting.

[0019] 3. This invention collects soil data multiple times when analyzing soil quality, and then analyzes the stability of the soil environment, which effectively increases the reliability and accuracy of soil quality analysis results, thereby ensuring the normal growth of crops during subsequent planting, while ensuring crop yield and quality, and increasing crop sales profits. Attached Figure Description

[0020] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0021] Figure 1 This is a schematic diagram of the system structure connection of the present invention. DETAILED DESCRIPTION

[0022] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0023] Please see Figure 1 As shown, a management system for creating improved soil includes: a planting demand input module, a soil testing module, and a server; The planting demand input module is used to input the preset planting demand corresponding to the planting area, wherein the preset planting demand includes a preset set of crop types and the planting quantity corresponding to each crop type.

[0024] As described above, users can log in to the system via mobile phone or computer and then input their preset planting requirements for the planting area in the planting requirement input module. Crop types include wheat, corn, and soybeans. When users use the system for the first time, they need to register an account and upload a panoramic image of the planting area. The system then constructs a 3D model of the planting area based on the panoramic image and stores it in the system.

[0025] The soil detection module is used to divide the planting area into grids to obtain sub-regions. Before soil improvement, the initial soil data of each sub-region is collected and sent to the server.

[0026] Preferably, the soil data includes, but is not limited to, moisture, microbial content, and pH. Initial soil data for each sub-region is collected using acquisition equipment, including, but not limited to, moisture sensors, microbial detectors, and soil pH analyzers.

[0027] The server includes a preliminary planting analysis module, an improvement strategy analysis module, an improvement monitoring module, and a planting confirmation module.

[0028] The preliminary planting analysis module is used to analyze the planting area and required soil data for each crop type based on the preset planting requirements within the planting area.

[0029] In a specific embodiment, the process of analyzing the planting area and required soil data corresponding to each crop type is as follows: obtain the planting quantity, planting area, harvest quantity and planting soil data of each crop type at each planting time from the historical planting records of the planting area.

[0030] Divide the yield of each crop type at each planting time by the planting area to obtain the harvest rate of each crop type at each planting time. Divide the planting quantity of each crop type at each planting time by the planting area to obtain the planting density of each crop type at each planting time.

[0031] Based on the harvest rate, planting density, and soil data of each crop type at each planting time, the harvest rate of each crop type at each planting density under each soil data is calculated, and the planting density and soil data corresponding to the maximum harvest rate are selected as the required planting density and required soil data for each crop type.

[0032] Divide the planting quantity for each crop type by the required planting density to obtain the planting area for each crop type.

[0033] The improvement strategy analysis module is used to obtain the historical improvement record table of each sub-region from the historical improvement record, and use the initial soil data of each sub-region to analyze the soil improvement strategy and suitable crop types for each sub-region, and carry out improvement according to the soil improvement strategy of each sub-region.

[0034] In a specific embodiment, the analysis of soil improvement strategies and suitable crop types for each sub-region is carried out as follows: the initial soil data, required soil data, soil improvement strategies, improvement effect values, improvement effects, and planting records corresponding to each historical improvement are obtained from the historical improvement record table of each sub-region.

[0035] The historical improvements with better results are selected from the historical improvements of each sub-region as the effective improvements of each sub-region.

[0036] Based on the initial soil data, required soil data, initial soil data of each sub-region, and required soil data of each crop type for each effective improvement, the reference improvement corresponding to each crop type planted in each sub-region is analyzed.

[0037] The above analysis of the reference improvements corresponding to the planting of each crop type in each sub-region is specifically carried out as follows: the initial soil data is subtracted from the required soil data for each effective improvement in each sub-region to obtain the improved soil data for each effective improvement in each sub-region.

[0038] Subtract the initial soil data of each sub-region from the required soil data for each crop type to obtain the soil improvement data corresponding to each crop type planted in each sub-region.

[0039] The improved soil data corresponding to each effective improvement in each sub-region is compared with the soil data to be improved for each crop type. If the improved soil data corresponding to a certain effective improvement in a certain sub-region is the same as the soil data to be improved for a certain crop type, then the effective improvement is used as the reference improvement for planting that crop type in that sub-region. In this way, the reference improvements for each crop type in each sub-region are obtained.

[0040] Extract the improvement effect values ​​and planting records of each reference improvement for each crop type planted in each sub-region, and analyze the preset yield and soil improvement strategies for each crop type planted in each sub-region.

[0041] The specific analysis process of the preset yield corresponding to each crop type planted in each sub-region and the soil improvement strategy corresponding to each crop type planted in each sub-region is as follows: the planting density and harvest rate are obtained from the planting records of each reference improvement corresponding to each crop type planted in each sub-region, and based on the required planting density of each crop type, the required planting density of each crop type is compared with the planting density of each reference improvement corresponding to each crop type planted in each sub-region. The reference improvements with the same required planting density and planting density are taken as the target improvements corresponding to each crop type planted in each sub-region.

[0042] Extract the harvest rate and improvement effect value of each target improvement for each crop type planted in each sub-region, calculate the improvement feature value of each target improvement for each crop type planted in each sub-region, select the target improvement corresponding to the maximum improvement feature value as the reference improvement for each crop type planted in each sub-region, and then use the harvest rate and soil improvement strategy of the reference improvement as the harvest rate and soil improvement strategy for each crop type planted in each sub-region; multiply the harvest rate of each crop type planted in each sub-region by the area of ​​each sub-region to obtain the preset yield for each crop type planted in each sub-region.

[0043] It should be noted that the harvest rate and improvement effect values ​​for each crop type planted in each sub-region corresponding to each target improvement were normalized, and their values ​​were then labeled as follows: and y represents the sub-region number, g represents the crop type number, and f represents the target improvement number. y, g, and f are all positive integers, calculated using the formula... The improved feature value corresponding to the fth sub-target improvement when planting the gth crop type in the yth sub-region is obtained. .

[0044] Based on the soil improvement strategies corresponding to each crop type planted in each sub-region, the soil improvement costs corresponding to each crop type planted in each sub-region are calculated. Then, based on the preset yield and soil improvement costs corresponding to each crop type planted in each sub-region, and using the planting area corresponding to each crop type, the soil improvement strategies and crop types planted in each sub-region are confirmed.

[0045] It should be noted that the soil improvement strategy includes the required amount of various amendments. The system stores the unit price of each amendment. The cost of soil improvement is obtained by multiplying the required amount of each amendment by its unit price and then summing the results.

[0046] The process for confirming the soil improvement strategies and crop types for each sub-region described above is as follows: The preset yield and soil improvement costs for each crop type in each sub-region are normalized, and their values ​​are recorded as follows: and y represents the number of each sub-region, and g represents the number of each crop type. Both y and g are positive integers. Then, the priority value for planting each crop type in each sub-region is calculated. Then, the sub-regions are sorted from largest to smallest according to the priority value. The crop types to be planted in each sub-region are allocated in order until the area of ​​each sub-region reaches the planting area of ​​each crop type, and then the allocation ends.

[0047] Preferably, using a calculation formula To obtain the priority value for planting the g-th crop type in the y-th sub-region. ; 、 These represent the weighting coefficients for yield and improvement costs, respectively.

[0048] in, 、 The setup process is as follows: Extract the maximum preset yield, minimum preset yield, maximum soil improvement cost, and minimum soil improvement cost from the normalized values ​​of the preset yield and soil improvement cost for each crop type planted in each sub-region, and denot them as follows: 、 、 and According to the analysis formula and The preset yield difference rate was obtained. Difference rate between soil improvement costs ; ; .

[0049] It should be noted that the specific process of allocating the crop types planted in each sub-region in sequence is as follows: A1. Obtain the crop type and sub-region corresponding to the first priority value, denoted as the first crop type and the first sub-region. Then, allocate the first sub-region to plant the first crop type, and compare the area of ​​the first sub-region with the area of ​​the first crop type. If the area of ​​the first sub-region is greater than or equal to the area of ​​the first crop type, then only the first sub-region is planted with the first crop type, the allocation of the first sub-region and the first crop type is stopped, and the sorting of the first sub-region or the first crop type contained in the sequence is removed. If the area of ​​the first sub-region is less than the area of ​​the first crop type, the area of ​​the first sub-region is subtracted from the area of ​​the first crop type to obtain the remaining area of ​​the first crop type.

[0050] A2. Obtain the crop type and sub-region corresponding to the second priority value. If the crop type and sub-region corresponding to the second priority value are different from the first crop type and the first sub-region, then record the crop type and sub-region corresponding to the second priority value as the second crop type and the second sub-region, and then perform the analysis according to the analysis method of A1.

[0051] A3. If the crop type corresponding to the second-ranked crop is the same as the first crop type, the sub-region corresponding to the second-ranked crop is different from the first sub-region, and the remaining area of ​​the first crop type is greater than 0, then the sub-region corresponding to the second-ranked crop is recorded as the second sub-region, and the first crop type is allocated to the second sub-region. The area of ​​the second sub-region is compared with the remaining area of ​​the first crop type. If the area of ​​the second sub-region is greater than or equal to the remaining area of ​​the first crop type, the allocation of the second sub-region and the first crop type ends. At the same time, the second sub-region or the first crop type contained in the order is removed. If the area of ​​the second sub-region is less than the remaining area of ​​the first crop type, the area of ​​the first crop type is subtracted from the area of ​​the second sub-region to obtain the second remaining area of ​​the first crop type. A2-A3 are repeated until the second remaining area of ​​the first crop type is 0, and the allocation of the first crop type is completed. The crop types planted in each sub-region are allocated according to the steps of A1-A3.

[0052] It should be noted that when there is at least one sub-region with remaining area, that is, when the area of ​​the sub-region is greater than the planting area of ​​the corresponding crop type, the user may be prompted to plant other crop types in that area, using intercropping to plant crops in that sub-region. Intercropping can improve resource utilization efficiency, reduce pests and diseases, and increase yield; or the user may be prompted to increase the planting amount of the crop type in that area.

[0053] The soil improvement strategies corresponding to the crop types planted in each sub-region are extracted and used as the soil improvement strategies for each sub-region.

[0054] The soil detection module is also used to collect soil data of each sub-region at each collection time interval after the soil of each sub-region has been improved according to the soil improvement strategy of each sub-region, and then send it to the server.

[0055] It should be noted that the preset time interval is manually set and can be either 5 hours or 7 hours.

[0056] The server's soil improvement monitoring module is used to analyze the improvement effect of each sub-region using soil data collected at each time, and to make corresponding improvement adjustments.

[0057] In a specific embodiment, the analysis of the improvement effect of each sub-region is carried out as follows: the soil data of each sub-region at each collection time is recorded as follows. y represents the number of each sub-region, r represents the number of each collection, and y and r are positive integers.

[0058] Based on the soil data of each sub-region at each collection time, the soil environmental change rate of each sub-region was calculated and denoted as . At the same time, the required soil data for the corresponding crop type in each sub-region is recorded as follows: .

[0059] in, In the formula This represents the soil data of the y-th sub-region during the (r+1)-th data collection.

[0060] Will 、 and The input is fed into the improvement effect evaluation model, and the output is the improvement effect results for each sub-region. The improvement effect results include values ​​of 1 and 0. When the result is 1, it indicates that the improvement effect is good, and when the result is 0, it indicates that the improvement effect is poor.

[0061] The expression for the improvement effect evaluation model described above is: In the formula This represents the result of the improvement effect on the y-th sub-region. Here, e represents the preset permissible fluctuation value for soil data, and e represents the natural constant. 、 These are the scaling factors for soil data and the scaling factors for soil environmental change rate, respectively. This represents the threshold value for the preset improvement effect.

[0062] It should be noted that, 、 The setup process and 、 The setup process is the same and will not be repeated here. The preset allowable fluctuation value for soil data is a value that allows for fluctuations in soil data, which is jointly discussed and set by multiple soil experts based on professional data and experience.

[0063] The preset threshold for soil improvement effect represents the critical value for whether the soil improvement quality is up to standard. This threshold is determined through discussion and setting by multiple soil experts based on professional data and experience. (This is part of the soil improvement effect evaluation model.) The calculation result is the improvement effect value of the y-th sub-region. When the improvement effect value is less than the threshold of the improvement effect value, it indicates that the difference between the soil data and the required soil data is small and the fluctuation rate of the soil data is small, and the soil improvement quality and effect are good. Conversely, it indicates that the difference between the soil data and the required soil data is large and the fluctuation rate of the soil data is large, and the soil improvement quality and effect are poor. For example, if the threshold of the improvement effect value is 28 and the improvement effect value of the y-th sub-region is 30, 30 is greater than 28, which indicates that the difference between the soil data and the required soil data in the y-th sub-region is large and the fluctuation rate of the soil data is large, and the soil improvement quality and effect are poor.

[0064] It should also be noted that, based on the improvement effect evaluation model, the improvement effect values ​​of each sub-region are extracted and stored in the historical improvement record table.

[0065] In another specific embodiment, the specific process of improvement and adjustment in the improvement monitoring module is as follows: each sub-region with poor improvement effect needs to be improved and adjusted, and each sub-region with good improvement effect does not need to be improved and adjusted. At the same time, each sub-region that needs to be improved and adjusted is recorded as an adjustment sub-region.

[0066] The difference between the soil data of each adjustment sub-region at each collection and the required soil data for the corresponding crop type in each adjustment sub-region is calculated, and the maximum difference is selected as the soil adjustment data for each adjustment sub-region; at the same time, the soil data of the last collection is selected as the soil data before adjustment for each adjustment sub-region.

[0067] The records of soil improvement and adjustment include soil data before each adjustment, soil adjustment data, improvement and adjustment strategies, and adjustment effects.

[0068] Select the improvement adjustments with better results as the optional improvement adjustments, compare the soil adjustment data and soil data before adjustment of each adjustment sub-region with the soil data before adjustment and soil adjustment data corresponding to each optional improvement adjustment, and select the reference improvement adjustments corresponding to each adjustment sub-region.

[0069] The improvement and adjustment strategies corresponding to each reference improvement and adjustment for each adjustment sub-region are compared. The data that is the same in each reference improvement and adjustment strategy is selected as the first improvement and adjustment strategy for each adjustment sub-region. The data that is different in each reference improvement and adjustment strategy is removed by removing the maximum and minimum values ​​and then a weighted average is calculated. The result is the second improvement and adjustment strategy for each adjustment sub-region. The first improvement and adjustment strategy and the second improvement and adjustment strategy together constitute the improvement and adjustment strategy for each adjustment sub-region, and improvement and adjustment are carried out according to the improvement and adjustment strategy.

[0070] The planting confirmation module is used to summarize the types of crops to be planted and the required planting density for each sub-region after all sub-regions have been improved and adjusted, generate a suitable planting plan for each sub-region, and then send the suitable planting plan for each sub-region to the display for display.

[0071] This invention, through its embodiments, divides the planting area into sub-regions using a grid based on the user's planting needs. Historical improvement records are used to confirm the improvement strategies, crops, and planting density for each sub-region. After the improved soil is prepared, soil data is collected multiple times to analyze the stability and suitability of the soil environment. Sub-regions with poor improvement results are selected for further improvement and adjustments until the soil environment in all sub-regions has been improved before planting begins. This achieves automated and intelligent allocation of planting resources, reduces manual labor, increases the compatibility between regions and crops, ensures crop yield, and improves crop planting profits.

[0072] The above content is merely an example and explanation of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they should all fall within the scope of protection of the present invention.

Claims

1. A management system for producing improved soil, characterized in that: include: Planting demand input module, soil detection module and server; The planting demand input module is used to input the corresponding preset planting demand in the planting area, wherein the preset planting demand includes a preset planting crop type set and the planting amount corresponding to each crop type; The soil detection module is used to divide the planting area into grids to obtain sub-areas, collect initial soil data of each sub-area before soil improvement, and send it to the server; The server includes a planting preliminary analysis module, an improvement strategy analysis module, and an improvement monitoring module; The preliminary planting analysis module is used to analyze the planting area and required soil data corresponding to each crop type according to the preset planting requirements corresponding to the planting area; The improvement strategy analysis module is used to obtain the historical improvement record table of each sub-region from the historical improvement record, and use the initial soil data of each sub-region to analyze the soil improvement strategy and the types of crops suitable for planting in each sub-region, and make improvements according to the soil improvement strategy of each sub-region; The soil detection module is also used to collect soil data of each sub-region at each collection time according to a preset time interval after improving the soil of each sub-region according to the soil improvement strategy of each sub-region, and then send it to the server; The improvement monitoring module in the server is used to analyze the improvement effect of each sub-area by using the soil data of each sub-area collected at each time, and to make corresponding improvement adjustments.

2. A management system for producing improved soil according to claim 1, characterized in that: The specific process of analyzing the planting area and soil data required for each crop type is as follows: Obtain the planting amount, planting area, harvest amount and planting soil data of each crop type at each planting time from the historical planting records of the planting area; The harvest amount of each crop type at each planting time is divided by the planting area to obtain the harvest rate of each crop type at each planting time, and the planting amount of each crop type at each planting time is divided by the planting area to obtain the planting density of each crop type at each planting time; According to the harvest rate, planting density and planting soil data of each crop type at each planting, the harvest rate of each crop type and each planting density under each planting soil data is counted, and the planting density and planting soil data corresponding to the maximum harvest rate are selected as the required planting density and required soil data of each crop type; Divide the planting amount corresponding to each crop type by the required planting density to obtain the planting area corresponding to each crop type.

3. A management system for producing improved soil according to claim 2, characterized in that: The specific process of analyzing soil improvement strategies and suitable crop types for each sub-region is as follows: Obtain the initial soil data, required soil data, soil improvement strategy, improvement effect value, improvement effect and planting records corresponding to each historical improvement from the historical improvement record table of each sub-area; Select the historical improvements with better improvement effects from the historical improvements in each sub-region as the effective improvements in each sub-region; Based on the initial soil data of each effective improvement corresponding to each sub-region, the required soil data, the initial soil data of each sub-region and the required soil data of each crop type, analyzing each reference improvement corresponding to each crop type planted in each sub-region; Extract the improvement effect value and planting record of each reference improvement corresponding to each crop type planted in each sub-region, analyze the preset yield corresponding to each crop type planted in each sub-region and the soil improvement strategy corresponding to each crop type planted in each sub-region; Based on the soil improvement strategy corresponding to each crop type planted in each sub-region, the soil improvement cost corresponding to each crop type planted in each sub-region is calculated. Then, based on the preset yield and soil improvement cost corresponding to each crop type planted in each sub-region, and using the planting area corresponding to each crop type, the soil improvement strategy and crop types planted in each sub-region are confirmed.

4. A management system for producing improved soil according to claim 3, characterized in that: The specific process of analyzing the reference improvements corresponding to each crop type planted in each sub-region is as follows: The required soil data corresponding to each effective improvement of each sub-region is subtracted from the initial soil data to obtain the improved soil data corresponding to each effective improvement of each sub-region; Subtract the initial soil data of each sub-region from the required soil data of each crop type to obtain the soil data that should be improved corresponding to each crop type planted in each sub-region; The improved soil data corresponding to each effective improvement in each sub-region are compared with the soil data that should be improved corresponding to each crop type planted. If the improved soil data corresponding to a certain effective improvement in a sub-region is the same as the soil data that should be improved corresponding to a certain crop type planted, then this effective improvement will be used as the reference improvement corresponding to the crop type planted in the sub-region, so as to obtain the reference improvements corresponding to each crop type planted in each sub-region.

5. A management system for producing improved soil according to claim 4, characterized in that: The specific analysis process of the preset yield corresponding to each crop type planted in each sub-region and the soil improvement strategy corresponding to each crop type planted in each sub-region is as follows: Obtaining the planting density and harvest rate from the planting records of each reference improvement corresponding to each crop type planted in each sub-region, and based on the required planting density of each crop type, comparing the required planting density of each crop type with the planting density of each reference improvement corresponding to each crop type planted in each sub-region, and taking each reference improvement with the same required planting density as each target improvement corresponding to each crop type planted in each sub-region; Extract the harvest rate and improvement effect value of each target improvement corresponding to each crop type planted in each sub-region, calculate the improvement characteristic value of each target improvement corresponding to each crop type planted in each sub-region, select the target improvement corresponding to the maximum improvement characteristic value as the reference improvement corresponding to each crop type planted in each sub-region, and then use the harvest rate and soil improvement strategy of the reference improvement as the harvest rate and soil improvement strategy corresponding to each crop type planted in each sub-region; multiply the harvest rate corresponding to each crop type planted in each sub-region by the area of ​​each sub-region to obtain the preset harvest amount corresponding to each crop type planted in each sub-region.

6. A management system for producing improved soil according to claim 3, characterized in that: The soil improvement strategy and crop types to be planted in each sub-region were determined as follows: The preset yield and soil improvement cost of each crop type planted in each sub-region are normalized and their values ​​are taken as and , y represents the number of each sub-region, g represents the number of each crop type, y and g are both positive integers, then calculate the priority value of each sub-region for planting each crop type, and then sort them from large to small according to the priority value, and allocate the crop types planted in each sub-region in order until the area of ​​each allocated sub-region reaches the planting area of ​​each crop type, and then end the allocation; The soil improvement strategy corresponding to the reference improvement of the crop type planted in each sub-region is extracted as the soil improvement strategy for each sub-region.

7. A management system for producing improved soil according to claim 1, characterized in that: The specific process of analyzing the improvement effect of each sub-region is as follows: The soil data of each sub-area at each collection time is recorded as , y represents the number of each sub-region, r represents the number of each acquisition, and y and r are positive integers; Based on the soil data of each sub-region at each collection time, the soil environment change rate in each sub-region is calculated and recorded as , and the soil data required for each sub-region corresponding to the crop type is recorded as ; Will , and Input into the improvement effect evaluation model and output the results of the improvement effect of each sub-region. The improvement effect results include values ​​of 1 and 0. When the result is 1, it indicates that the improvement effect is good, and when the result is 0, it indicates that the improvement effect is poor.

8. A management system for producing improved soil according to claim 7, characterized in that: The expression of the improved effect evaluation model is: , where represents the result of the improvement effect of the y-th sub-region, is the preset allowable fluctuation value of soil data, e represents the natural constant, , They are the proportional coefficients representing soil data and soil environment change rate, respectively. Indicates the preset threshold value of the improvement effect value.

9. A management system for producing improved soil according to claim 1, characterized in that: The specific process of improvement and adjustment in the improved monitoring module is as follows: Each sub-region with poor improvement effect needs to be improved and adjusted, and each sub-region with good improvement effect does not need to be improved and adjusted. At the same time, each sub-region that needs to be improved and adjusted is recorded as each adjustment sub-region; The soil data of each adjustment sub-area collected at each time is calculated with the soil data required for the corresponding crop type in each adjustment sub-area, and the maximum difference is selected as the soil adjustment data of each adjustment sub-area; at the same time, the soil data collected at the last time is selected as the soil data before adjustment of each adjustment sub-area; The soil data before adjustment, soil adjustment data, improvement adjustment strategy and adjustment effect corresponding to each improvement adjustment in the improvement adjustment records; Select each improvement adjustment with better adjustment effect as each optional improvement adjustment, compare the soil adjustment data and soil data before adjustment of each adjustment sub-area with the soil data before adjustment and soil adjustment data corresponding to each optional improvement adjustment, and select each reference improvement adjustment corresponding to each adjustment sub-area; Compare the improved adjustment strategies of each adjustment sub-region corresponding to each reference improved adjustment, and select the same data parts in the improved adjustment strategies of each reference improved adjustment as the first improved adjustment strategy corresponding to each adjustment sub-region; The different data parts of the improved adjustment strategies of each reference improvement adjustment are subjected to weighted average calculation after removing the maximum and minimum values. The calculation result is the second improved adjustment strategy corresponding to each adjustment sub-area. The improved adjustment strategy corresponding to each adjustment sub-area is jointly constituted by the first improved adjustment strategy and the second improved adjustment strategy, and improvement adjustment is performed according to the improved adjustment strategy.

10. A management system for producing improved soil according to claim 1, characterized in that: The server also includes a planting confirmation module, which is used to summarize the crop types and required planting densities corresponding to each sub-area after the improvement and adjustment of each sub-area has been completed, generate a planting plan suitable for planting in each sub-area, and then send the planting plan suitable for planting in each sub-area to the display for display.

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