Intelligent agricultural data processing system

Abstract

The invention relates to the technical field of agricultural data processing, in particular to an intelligent agricultural data processing system, which comprises a comprehensive data acquisition module used for acquiring soil information, environment information and agricultural product information in a farm; the collected data storage module is used for numbering and storing the collected soil information, environment information and agricultural product information; the agricultural data analysis module is used for analyzing farm environment characteristics and farm environment types; the market data analysis module is used for analyzing the supply and demand balance period; the growth environment analysis module is used for analyzing suitable environment characteristics; the planting data analysis module is used for analyzing the supply and demand suitable parameters; the comprehensive feature analysis unit is used for analyzing the supply and demand suitable parameters according to the suitable matching parameters and the agricultural product supply and demand features; and the planting suggestion analysis module is used for analyzing and outputting the planting suggestions. According to the invention, accurate analysis of crop planting suggestions is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of agricultural data processing, and in particular to a smart agricultural data processing system. Background Art

[0002] Smart agricultural data analysis relies on modern information technologies such as global positioning systems, remote sensing technology, and big data analysis. These technologies can obtain environmental data such as soil and climate in real time, and combine market demand to provide scientific and accurate decision support for crop planting.

[0003] Chinese Patent Publication No.: CN109035055A discloses an agricultural planting system based on big data, including an information input module, a CPU processing module, a data display module and a data retrieval storage module; the information input module for taking pictures of crops, inputting text information of crops and voice input is connected to the CPU processing module; the CPU processing module for processing the input data information is connected to the data display module; the data display module for data statistics, detection, prediction and online transactions is bidirectionally connected to the data retrieval storage module, and the data retrieval storage module for storing and retrieving information is connected to the CPU module. This invention realizes the analysis of crop yields and crop pre-sale data, but does not realize the analysis of crop planting types in combination with farm planting environment and agricultural product market supply and demand data. There are problems such as low efficiency in analyzing agricultural data and agricultural product supply and demand data, and inaccurate analysis of farm planting suggestions. Summary of the invention

[0004] The object of the present invention is to provide a smart agricultural data processing system to solve at least one of the problems existing in the prior art.

[0005] To achieve the above object, the present invention adopts the following technical solutions:

[0006] A smart agricultural data processing system, comprising:

[0007] Comprehensive data collection module, used to collect soil and environmental information in the farm in real time, and also used to periodically collect agricultural product information in the agricultural product market;

[0008] A data collection and storage module is used to number and store the soil information, environmental information and agricultural product information collected from the farm;

[0009] Agricultural data analysis module, used to analyze farm environmental characteristics and farm environmental types based on soil information and environmental information in the farm;

[0010] Market data analysis module, used to analyze the supply and demand characteristics, types of agricultural products and supply and demand balance cycle of agricultural products based on agricultural product information in the agricultural product market;

[0011] A growth environment analysis module is used to collect suitable environment information based on agricultural product information, and analyze suitable environment characteristics based on the collected suitable environment information;

[0012] Planting data analysis module, used to analyze supply and demand suitability parameters based on farm environment characteristics, suitable environment characteristics, farm environment type, agricultural product supply and demand characteristics, agricultural product type and supply and demand balance cycle;

[0013] The planting suggestion analysis module is used to analyze the planting suggestions according to the supply and demand suitability parameters and output the planting suggestions to the user.

[0014] Furthermore, the data collection and storage module numbers the soil information and environmental information collected in the farm every day in the order of collection time to obtain a time number, and sets the time number to t, t∈N + The soil information, environmental information and agricultural product information collected in the farm in one day are taken as the daily collected information, and the daily collected information is numbered in the order of collection time to obtain the day number, and the day number is set as d, d∈N + .

[0015] Furthermore, the agricultural data analysis module is provided with an environmental characteristic analysis unit, which is used to analyze the farm environmental characteristics according to soil moisture A1 (d, t), soil pH A2 (d, t) and light intensity A4 (d, t) to obtain the farm environmental characteristics F (d, t);

[0016] The agricultural data analysis module is also provided with a fluctuation characteristic analysis unit, which is used to analyze the environmental fluctuation characteristics according to soil information and environmental information to obtain the environmental fluctuation characteristics Qk(d), wherein k represents the farm data parameter, k={1,2,3,4}.

[0017] Furthermore, the agricultural data analysis module is also provided with an environment type judgment unit, which is used to calculate the mean of the environmental fluctuation characteristics as the fluctuation mean parameter P(d), and compare the fluctuation mean parameter with the fluctuation comparison threshold p, and judge the farm environment type according to the comparison result. The farm environment type includes Class I and Class II.

[0018] Furthermore, the market data analysis module is provided with a supply and demand characteristic analysis unit, which is used to analyze the supply and demand characteristics of agricultural products according to the agricultural product information of the agricultural product market, so as to obtain the supply and demand characteristics of agricultural products as G(n,d), where n represents the name of the agricultural product.

[0019] Furthermore, the market data analysis module is also provided with a product type judgment unit, which is used to compare the agricultural product supply and demand characteristics G(n,d) with the supply and demand thresholds g1 and g2, and judge the agricultural product type according to the comparison results. The agricultural product types include Class I, Class II and Class III.

[0020] Furthermore, the market data analysis module is also provided with a balance cycle analysis unit, which is used to set the initial value of the iteration parameter to 1, and calculate the iterative balance parameter according to the iteration parameter m and the agricultural product supply and demand characteristics G(n,d) to obtain the iterative balance parameter W(m,n), compare the iterative balance parameter with the balance threshold w, and analyze the supply and demand balance cycle according to the comparison result to obtain the supply and demand balance cycle M.

[0021] Furthermore, the planting data analysis module is provided with a comprehensive characteristic analysis unit, which is used to analyze the supply and demand suitability parameters according to the suitable matching parameters H(n) and the agricultural product supply and demand characteristics G(n,d) to obtain the supply and demand suitability parameters S(n).

[0022] Furthermore, the planting data analysis module is further provided with an environment type analysis unit, which is used to adjust the analysis process of the supply and demand suitability parameters according to the environmental fluctuation characteristics and the farm environment type. When the farm environment type is Class II, the analysis process of the supply and demand suitability parameters is adjusted, and the adjusted supply and demand suitability parameters are S1(n);

[0023] The planting data analysis module is also provided with a product type analysis unit, which is used to optimize the adjustment process of supply and demand suitable parameters according to the agricultural product type and the supply and demand balance cycle. When the agricultural product type is Class II or Class III, the product type analysis unit compares the supply and demand balance cycle M with the balance comparison thresholds α1 and α2, and optimizes the adjustment process of the supply and demand suitable parameters according to the comparison results. The optimized supply and demand suitable parameters are S2(n).

[0024] Furthermore, the planting suggestion analysis module arranges the supply and demand suitability parameters in descending order, and takes the agricultural product names corresponding to the largest Y supply and demand suitability parameters as planting suggestions, where Y represents the recommended quantity parameter.

[0025] The beneficial effects of the present invention are as follows: through the collection of soil information, environmental information, agricultural product information and suitable environment information by the comprehensive data collection module and the growth environment analysis module, and the analysis of the collected information by other modules, a comprehensive analysis of the farm planting environment, the suitable environment for agricultural products and the supply and demand data of agricultural products can be achieved, so as to determine the names of agricultural products suitable for farm planting, realize the analysis of farm planting suggestions, and then improve the system's analysis efficiency of agricultural data and agricultural product supply and demand data, and improve the accuracy of the analysis of farm planting suggestions. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. 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 creative work.

[0027] Figure 1 This is a structural diagram of the smart agriculture data processing system of this embodiment.

[0028] Figure 2 This is a schematic diagram of the structure of the agricultural data analysis module in this embodiment.

[0029] Figure 3 Schematic diagram of the structure of the market data analysis module in this embodiment.

[0030] Figure 4 This is a structural diagram of the planting data analysis module of this embodiment. DETAILED DESCRIPTION

[0031] In order to more clearly illustrate the present invention, the present invention is further described below in conjunction with preferred embodiments and accompanying drawings. Similar components in the accompanying drawings are represented by the same reference numerals. It should be understood by those skilled in the art that the content specifically described below is illustrative rather than restrictive, and should not be used to limit the scope of protection of the present invention.

[0032] It should be noted that, although the terms first, second, third, etc. may be used to describe in the embodiments of the present application, these descriptions should not be limited to these terms. These terms are only used to distinguish the descriptions. For example, without departing from the scope of the embodiments of the present application, the first may also be referred to as the second, and similarly, the second may also be referred to as the first.

[0033] See also Figure 1 As shown, it is a smart agricultural data processing system of this embodiment, including:

[0034] The comprehensive data acquisition module is used to collect soil information and environmental information in the farm in real time, and is also used to periodically collect agricultural product information from the agricultural product market. The soil information includes soil moisture and soil pH. The soil moisture is the relative humidity of the soil, which is a half-ratio value. The environmental information includes ambient temperature and light intensity. The light intensity is photosynthetically active radiation, and its unit is μmo l / s / m 2The soil information and environmental information are obtained by sensors installed in the farm. The agricultural product information includes the name of the agricultural product and the supply and demand information of the agricultural product. The supply and demand information of the agricultural product includes the supply and demand of the agricultural product. The agricultural product information is obtained by importing data from the agricultural product market operation data management platform. In this embodiment, the collection period of the agricultural product information in the agricultural product market is once per preset collection period. In this embodiment, the preset collection period is set to 1 day. In this embodiment, the setting of the preset collection period is not specifically limited. Those skilled in the art can freely set it, such as 6 hours, 3 days, and 7 days.

[0035] The data collection and storage module is used to number and store the soil information, environmental information and agricultural product information collected in the farm, and the data collection and storage module is connected to the comprehensive data collection module.

[0036] Specifically, the data collection and storage module in this embodiment numbers the soil information and environmental information collected in the farm every day in the order of collection time to obtain a time number, and sets the time number to t, t∈N + The soil information, environmental information and agricultural product information collected in the farm in one day are taken as the daily collected information, and the daily collected information is numbered in the order of collection time to obtain the day number, and the day number is set as d, d∈N + The time number is defined as the number that distinguishes the soil information and environmental information in the farm every second, and the day number is defined as the number that distinguishes the daily collection information collected every day.

[0037] Specifically, in this embodiment, the collected data storage module stores the collected soil information, environmental information and agricultural product information to realize numbering processing of the data collected in each time period, ensuring that the data is clear and complete, thereby improving the system's analysis efficiency of agricultural data and agricultural product supply and demand data, and improving the accuracy of farm planting recommendation analysis.

[0038] Please continue reading Figure 1 As shown, the smart agriculture data processing system also includes:

[0039] The agricultural data analysis module is used to analyze the farm environment characteristics and farm environment types according to the soil information and environmental information in the farm. The agricultural data analysis module is connected to the collected data storage module.

[0040] See also Figure 2 As shown, the agricultural data analysis module includes:

[0041] The environmental characteristic analysis unit is used to analyze the farm environmental characteristics based on soil information and environmental information.

[0042] Specifically, the environmental characteristic analysis unit in this embodiment analyzes the farm environmental characteristics according to soil moisture, soil pH and light intensity, and sets the farm environmental characteristics as F(d, t), and sets F(d, t) = e [A2(d ,t)-7]×A1(d,t) ×l gA4(d,t), where A1(d,t) represents soil temperature, A2(d,t) represents soil pH, and A4(d,t) represents light intensity.

[0043] Specifically, in this embodiment, the environmental characteristic analysis unit analyzes the soil information and environmental information to analyze the farm environmental characteristics, and uses the farm environmental characteristics to represent the characteristic relationship between each data home in the farm planting environment, thereby ensuring that subsequent data analysis is at the same level, thereby improving the system's analysis efficiency of agricultural data and agricultural product supply and demand data, and improving the accuracy of farm planting recommendation analysis.

[0044] Please continue reading Figure 2 As shown, the agricultural data analysis module also includes:

[0045] The fluctuation characteristic analysis unit is used to analyze the environmental fluctuation characteristics according to the soil information and the environmental information, and the fluctuation characteristic analysis unit is connected to the environmental characteristic analysis unit.

[0046] Specifically, the fluctuation characteristic analysis unit in this embodiment analyzes the environmental fluctuation characteristics according to the soil information and the environmental information, sets the environmental fluctuation characteristics as Qk(d), and sets Where k represents the farm data parameter, k = {1, 2, 3, 4}, t max It represents the maximum value of the time number. When k=1, Q1(d) represents the environmental fluctuation characteristics of soil moisture. When k=2, Q2(d) represents the environmental fluctuation characteristics of soil pH. When k=3, Q3(d) represents the environmental fluctuation characteristics of ambient temperature. A3(d,t) represents ambient temperature. When k=4, Q4(d) represents the environmental fluctuation characteristics of light intensity.

[0047] Specifically, in this embodiment, the fluctuation characteristic analysis unit analyzes the soil information and environmental information to analyze the environmental fluctuation characteristics, and uses the environmental fluctuation characteristics to represent the changes in farm environmental data every day, thereby increasing the system's analysis of the fluctuation change characteristics of farm environmental data, thereby improving the system's analysis efficiency of agricultural data and agricultural product supply and demand data, and improving the accuracy of farm planting recommendation analysis.

[0048] Please continue reading Figure 2 As shown, the agricultural data analysis module also includes:

[0049] The environment type judgment unit is used to analyze the farm environment type according to the environment fluctuation characteristics, and the environment type judgment unit is connected to the fluctuation characteristic analysis unit.

[0050] Specifically, the environment type judgment unit in this embodiment calculates the mean of the environment fluctuation characteristics as the fluctuation mean parameter, sets the fluctuation mean parameter to P(d), and sets The fluctuation mean parameter is compared with the fluctuation comparison threshold, and the farm environment type is determined according to the comparison result. If P(d)≤p, the environment type determination unit determines that the farm environment type is Class I; if P(d)>p, the environment type determination unit determines that the farm environment type is Class II; wherein p represents the fluctuation comparison threshold, 0.05≤p≤0.15. It can be understood that the value of the fluctuation comparison threshold is not specifically limited in this embodiment, and those skilled in the art can freely set it as long as it satisfies the analysis of the farm environment type. The optimal value of the fluctuation comparison threshold is: p=0.1.

[0051] Specifically, in this embodiment, the environment type judgment unit analyzes the environmental fluctuation characteristics to analyze the farm environment type, and divides the farm environment type into two categories according to the changes in environmental data in the farm, so that they respectively represent data stability and data fluctuation. This improves the system's analysis efficiency of agricultural data and agricultural product supply and demand data, and improves the accuracy of farm planting recommendation analysis.

[0052] Please continue reading Figure 1 As shown, the smart agriculture data processing system also includes:

[0053] The market data analysis module is used to analyze the supply and demand characteristics, types of agricultural products and supply and demand balance cycles of agricultural products according to the agricultural product information in the agricultural product market. The market data analysis module is connected to the collected data storage module.

[0054] See also Figure 3 As shown, the market data analysis module includes:

[0055] The supply and demand characteristics analysis unit is used to analyze the supply and demand characteristics of agricultural products based on agricultural product information in the agricultural product market.

[0056] Specifically, the supply and demand characteristic analysis unit described in this embodiment analyzes the supply and demand characteristics of agricultural products based on the agricultural product information of the agricultural product market, sets the supply and demand characteristics of agricultural products to G(n,d), and sets G(n,d)=B1(n,d) / B2(n,d), wherein B1(n,d) represents the demand for agricultural products, B2(n,d) represents the supply of agricultural products, and n represents the name of the agricultural product.

[0057] Specifically, in this embodiment, the supply and demand characteristic analysis unit analyzes the agricultural product information to analyze the supply and demand characteristics of agricultural products, and uses the supply and demand characteristics of agricultural products to represent the proportional relationship between the demand and supply of each farm product in the agricultural product market every day, thereby improving the system's analysis efficiency of agricultural data and agricultural product supply and demand data, and improving the accuracy of farm planting recommendation analysis.

[0058] Please continue reading Figure 3 As shown, the market data analysis module also includes:

[0059] The product type judgment unit is used to analyze the type of agricultural products according to the supply and demand characteristics of agricultural products. The product type judgment unit is connected to the supply and demand characteristics analysis unit.

[0060] Specifically, the product type judgment unit described in this embodiment compares the supply and demand characteristics of agricultural products with the supply and demand thresholds, and judges the type of agricultural products based on the comparison results. If G(n,d)<g1, the product type judgment unit determines that the agricultural product type is one category, if g1≤G(n,d)≤g2, the product type judgment unit determines that the agricultural product type is two categories, if G(n,d)>g2, the product type judgment unit determines that the agricultural product type is three categories, wherein g1 represents the first supply and demand threshold, 0.2≤g1≤0.4, g2 represents the second supply and demand threshold, 0.6≤g2≤0.8. It can be understood that in this embodiment, the values ​​of the supply and demand thresholds are not specifically limited, and those skilled in the art can freely set them as long as they meet the judgment of the agricultural product type. The optimal values ​​of the supply and demand thresholds are: g1=0.3, g2=0.7.

[0061] Specifically, in this embodiment, the product type judgment unit analyzes the supply and demand characteristics of agricultural products to divide the types of agricultural products into three categories according to their supply and demand conditions, which respectively represent three situations: low demand, normal supply and demand, and high demand. This improves the system's analysis efficiency of agricultural data and agricultural product supply and demand data, and improves the accuracy of farm planting recommendation analysis.

[0062] Please continue reading Figure 3 As shown, the market data analysis module also includes:

[0063] The balance cycle analysis unit is used to analyze the supply and demand balance cycle according to the agricultural product information and the supply and demand characteristics of the agricultural product. The balance cycle analysis unit is connected to the product type judgment unit.

[0064] Specifically, the balance cycle analysis unit in this embodiment sets the initial value of the iteration parameter to 1, calculates the iteration balance parameter according to the iteration parameter and the supply and demand characteristics of agricultural products, and sets the iteration balance parameter to W(m,n). The iterative balance parameter is compared with the balance threshold, and the supply and demand balance cycle is analyzed according to the comparison result. If W(m,n)<w, the balance cycle analysis unit adds 1 to the value of the iterative parameter, and iterates the analysis process of the iterative balance parameter and the supply and demand balance cycle; if W(m,n)≥w, the balance cycle analysis unit sets the supply and demand balance cycle to M, and sets M=m+1; wherein, d max represents the maximum value of the day number, m represents the iteration parameter, m≤14, w represents the balance threshold, 0.8≤w<1; through the analysis of the supply and demand characteristics of agricultural products by the balance cycle analysis unit and the setting of the iteration parameters, the iterative balance parameters are analyzed, and the iterative balance parameters are used to represent the balance relationship between the daily supply in the agricultural product market and the previous remaining supply, so as to analyze the supply and demand balance cycle, and the supply and demand balance cycle is used to represent the time required for the supply of agricultural products in the agricultural product market to reach a balance, thereby improving the system's analysis efficiency of agricultural data and agricultural product supply and demand data, and improving the accuracy of farm planting recommendation analysis; it can be understood that in this embodiment, the value of the balance threshold is not specifically limited, and technical personnel in this field can set it freely, as long as the analysis of the supply and demand balance cycle is satisfied. The optimal value of the balance threshold is: w=0.9.

[0065] Specifically, when analyzing the supply-demand balance cycle, the balance cycle analysis unit in this embodiment sets the supply-demand balance cycle to M=m if it iterates to m=14 and W(m,n)<w.

[0066] Please continue reading Figure 1 As shown, the smart agriculture data processing system also includes:

[0067] The growth environment analysis module is used to collect suitable environment information based on agricultural product information, and analyze suitable environment characteristics based on the collected suitable environment information. The suitable environment information includes the name of the agricultural product, suitable soil moisture, suitable soil pH, suitable environmental temperature and suitable light intensity. The suitable environment information is environmental information suitable for the growth of each agricultural product. The suitable environment information is obtained by visiting a website for query and then interactively inputting it. The website includes the National Ecological Data Center Resource Sharing Service Platform and HowNet and other websites. The growth environment analysis module is connected to the collected data storage module.

[0068] Specifically, the growth environment analysis module in this embodiment analyzes the suitable environment characteristics according to the suitable environment information, sets the suitable environment characteristics as R(n), and sets R(n)=e [C2(n)-7]×C1(n) ×l gC4(n), where C1(n) represents suitable soil moisture, C2(n) represents suitable soil pH, and C4(n) represents suitable light intensity.

[0069] Specifically, in this embodiment, the growth environment analysis module collects suitable environment information for each agricultural product to analyze suitable environment characteristics, so that the suitable environment characteristics are consistent with the farm environment characteristics of the farm, thereby ensuring the accuracy of subsequent comparison and analysis of environmental characteristics, thereby improving the system's analysis efficiency of agricultural data and agricultural product supply and demand data, and improving the accuracy of farm planting recommendation analysis.

[0070] Please continue reading Figure 1 As shown, the smart agriculture data processing system also includes:

[0071] The planting data analysis module is used to analyze the supply and demand suitability parameters according to the farm environment characteristics, suitable environment characteristics, farm environment type, agricultural product supply and demand characteristics, agricultural product type and supply and demand balance cycle. The planting data analysis module is connected to the agricultural data analysis module, the market data analysis module and the growth environment analysis module.

[0072] See also Figure 4 As shown, the planting data analysis module includes:

[0073] The environmental characteristic matching unit is used to analyze the suitable matching parameters according to the farm environmental characteristics and the suitable environmental characteristics.

[0074] Specifically, the environmental feature matching unit in this embodiment analyzes the suitable matching parameters according to the farm environmental features and the suitable environmental features, sets the suitable matching parameters as H(n), and sets Where X represents the temperature difference, which is the difference between the average ambient temperature a3(d) and the appropriate ambient temperature C3(n). The temperature difference is calculated by subtracting the larger value between the mean ambient temperature and the suitable ambient temperature from the smaller value; the environmental characteristic matching unit analyzes the farm environmental characteristics and the suitable environmental characteristics to analyze the suitable matching parameters, and the suitable matching parameters are used to represent the similarity between the farm environmental characteristics and the suitable environmental characteristics of each agricultural product, so as to judge whether the growth environment of the farm meets the growth requirements of the crops, thereby improving the system's analysis efficiency of agricultural data and agricultural product supply and demand data, and improving the accuracy of the analysis of farm planting suggestions.

[0075] Please continue reading Figure 4 As shown, the planting data analysis module also includes:

[0076] The comprehensive characteristic analysis unit is used to analyze the supply and demand suitability parameters according to the suitable matching parameters and the supply and demand characteristics of agricultural products. The comprehensive characteristic analysis unit is connected to the environmental characteristic matching unit.

[0077] Specifically, the comprehensive characteristic analysis unit described in this embodiment analyzes the supply and demand suitability parameters according to the suitable matching parameters and the supply and demand characteristics of agricultural products, sets the supply and demand suitability parameters to S(n), and sets S(n)=H(n)×G(n,d).

[0078] Specifically, in this embodiment, the comprehensive feature analysis unit analyzes the suitable matching parameters and the supply and demand characteristics of agricultural products to analyze the suitable supply and demand parameters, and uses the suitable supply and demand parameters to represent the planting priority analyzed based on the comprehensive farm environment, suitable environment for agricultural products and supply and demand characteristics of agricultural products, thereby improving the system's analysis efficiency of agricultural data and supply and demand data of agricultural products and improving the accuracy of the analysis of farm planting recommendations.

[0079] Please continue reading Figure 4 As shown, the planting data analysis module also includes:

[0080] The environmental type analysis unit is used to adjust the analysis process of the supply and demand suitability parameters according to the environmental fluctuation characteristics and the farm environment type, so that the adjusted supply and demand suitability parameters are related to the changing fluctuations of the environmental data in the farm. The environmental type analysis unit is connected to the comprehensive characteristic analysis unit.

[0081] Specifically, the environment type analysis unit in this embodiment adjusts the analysis process of the supply and demand suitability parameters according to the environmental fluctuation characteristics and the farm environment type. If the farm environment type is type I, the environment type analysis unit does not adjust the analysis process of the supply and demand suitability parameters; if the farm environment type is type II, the environment type analysis unit adjusts the analysis process of the supply and demand suitability parameters, and the adjusted supply and demand suitability parameters are S1(n), and S1(n)=S(n)×e -P(d) ; The environmental type analysis unit analyzes the environmental fluctuation characteristics and the farm environment type to adjust the analysis process of the supply and demand suitability parameters. When there are large fluctuations in the environmental data on the farm, the corresponding supply and demand suitability parameters are reduced, thereby improving the system's analysis efficiency of agricultural data and agricultural product supply and demand data, and improving the accuracy of farm planting recommendation analysis.

[0082] Please continue reading Figure 4 As shown, the planting data analysis module also includes:

[0083] The product type analysis unit is used to optimize the adjustment process of the supply and demand suitability parameters according to the agricultural product type and the supply and demand balance cycle, so that the optimized supply and demand suitability parameters are related to the time required for the agricultural products to reach supply and demand balance in the agricultural product market. The product type analysis unit is connected to the environment type analysis unit.

[0084] Specifically, the product type analysis unit in this embodiment optimizes the adjustment process of the supply and demand suitable parameters according to the agricultural product type and the supply and demand balance cycle. If the agricultural product type is one type, the product type analysis unit does not optimize the adjustment process of the supply and demand suitable parameters. If the agricultural product type is two types and M≤α1, the product type analysis unit optimizes the adjustment process of the supply and demand suitable parameters. The optimized supply and demand suitable parameters are S2(n), and S2(n)=S1(n)×[e -M / α1 +1]; if the agricultural product type is three and M≤α2, the product type analysis unit optimizes the adjustment process of the supply and demand suitability parameters, and the optimized supply and demand suitability parameters are S2(n), and S2(n)=S1(n)×[e -M / α2 +1]; wherein, α1 represents the first balance comparison threshold, 3≤α1≤5, α2 represents the second balance comparison threshold, 6≤α2≤9; the product type analysis unit analyzes the agricultural product type and the supply and demand balance cycle to optimize the adjustment process of the supply and demand suitable parameters. When the supply and demand of agricultural products are high and the time required to reach the supply and demand balance is short, the adjustment process of the supply and demand suitable parameters is optimized, thereby improving the system's analysis efficiency of agricultural data and agricultural product supply and demand data, and improving the accuracy of farm planting recommendation analysis; it can be understood that in this embodiment, the value of the balance comparison threshold is not specifically limited, and technical personnel in this field can freely set it, as long as the optimization of the supply and demand suitable parameter adjustment process is satisfied. The optimal value of the balance comparison threshold is: α1=3, α2=7.

[0085] Please continue reading Figure 1 As shown, the smart agriculture data processing system also includes:

[0086] The planting suggestion analysis module is used to analyze the planting suggestions according to the supply and demand suitability parameters and output the planting suggestions to the user. The planting suggestion analysis module is connected to the planting data analysis module.

[0087] Specifically, the planting suggestion analysis module described in this embodiment arranges the supply and demand suitability parameters in order from large to small, and takes the agricultural product names corresponding to the largest Y supply and demand suitability parameters as planting suggestions, where Y represents the recommended quantity parameter, and 3≤Y≤5. It can be understood that the value of the recommended quantity parameter is not specifically limited in this embodiment, and those skilled in the art can freely set it as long as it meets the analysis of the planting suggestion. The optimal value of the recommended quantity parameter is: Y=5.

[0088] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not limitations on the embodiments of the present invention. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is impossible to list all the embodiments here. All obvious changes or modifications derived from the technical solution of the present invention are still within the protection scope of the present invention.

Claims

1. A smart agricultural data processing system, characterized in that: include: Comprehensive data collection module, used to collect soil and environmental information in the farm in real time, and also used to periodically collect agricultural product information in the agricultural product market; A data collection and storage module is used to number and store the soil information, environmental information and agricultural product information collected from the farm; Agricultural data analysis module, used to analyze farm environmental characteristics and farm environmental types based on soil information and environmental information in the farm; Market data analysis module, used to analyze the supply and demand characteristics, types of agricultural products and supply and demand balance cycle of agricultural products based on agricultural product information in the agricultural product market; A growth environment analysis module is used to collect suitable environment information based on agricultural product information, and analyze suitable environment characteristics based on the collected suitable environment information; Planting data analysis module, used to analyze supply and demand suitability parameters based on farm environment characteristics, suitable environment characteristics, farm environment type, agricultural product supply and demand characteristics, agricultural product type and supply and demand balance cycle; The planting suggestion analysis module is used to analyze the planting suggestions according to the supply and demand suitability parameters and output the planting suggestions to the user.

2. The smart agricultural data processing system according to claim 1, characterized in that: The data collection and storage module numbers the soil information and environmental information collected in the farm every day in the order of collection time to obtain a time number, and sets the time number to t, t∈N + The soil information, environmental information and agricultural product information collected in the farm during the day are taken as the daily collected information, and the daily collected information is numbered in the order of collection time to obtain the day number, and the day number is set as d, d∈N + .

3. The smart agricultural data processing system according to claim 2 is characterized in that: The agricultural data analysis module is provided with an environmental characteristic analysis unit, which is used to analyze the farm environmental characteristics according to soil moisture A1 (d, t), soil pH A2 (d, t) and light intensity A4 (d, t) to obtain the farm environmental characteristics F (d, t); The agricultural data analysis module is also provided with a fluctuation characteristic analysis unit, which is used to analyze the environmental fluctuation characteristics according to soil information and environmental information to obtain the environmental fluctuation characteristics Qk(d), wherein k represents the farm data parameter, k={1,2,3,4}.

4. The smart agricultural data processing system according to claim 3 is characterized in that: The agricultural data analysis module is also provided with an environment type judgment unit, which is used to calculate the mean of the environmental fluctuation characteristics as the fluctuation mean parameter P(d), and compare the fluctuation mean parameter with the fluctuation comparison threshold p, and judge the farm environment type according to the comparison result. The farm environment type includes class one and class two.

5. The smart agricultural data processing system according to claim 4 is characterized in that: The market data analysis module is provided with a supply and demand characteristic analysis unit, which is used to analyze the supply and demand characteristics of agricultural products according to the agricultural product information of the agricultural product market, so as to obtain the supply and demand characteristics of agricultural products as G(n,d), where n represents the name of the agricultural product.

6. The smart agricultural data processing system according to claim 5, characterized in that: The market data analysis module is also provided with a product type judgment unit, which is used to compare the agricultural product supply and demand characteristics G(n,d) with the supply and demand thresholds g1 and g2, and judge the agricultural product type according to the comparison results. The agricultural product types include Class I, Class II and Class III.

7. The smart agricultural data processing system according to claim 6, characterized in that: The market data analysis module is also provided with a balance cycle analysis unit, which is used to set the initial value of the iteration parameter to 1, and calculate the iterative balance parameter according to the iteration parameter m and the agricultural product supply and demand characteristics G(n,d) to obtain the iterative balance parameter W(m,n), compare the iterative balance parameter with the balance threshold w, and analyze the supply and demand balance cycle according to the comparison result to obtain the supply and demand balance cycle M.

8. The smart agricultural data processing system according to claim 7, characterized in that: The planting data analysis module is provided with a comprehensive characteristic analysis unit, which is used to analyze the supply and demand suitability parameters according to the suitable matching parameters H(n) and the agricultural product supply and demand characteristics G(n,d) to obtain the supply and demand suitability parameters S(n).

9. The smart agricultural data processing system according to claim 8, characterized in that: The planting data analysis module is also provided with an environment type analysis unit, which is used to adjust the analysis process of the supply and demand suitability parameters according to the environmental fluctuation characteristics and the farm environment type. When the farm environment type is Class II, the analysis process of the supply and demand suitability parameters is adjusted, and the adjusted supply and demand suitability parameters are S1(n); The planting data analysis module is also provided with a product type analysis unit, which is used to optimize the adjustment process of supply and demand suitable parameters according to the agricultural product type and the supply and demand balance cycle. When the agricultural product type is Class II or Class III, the product type analysis unit compares the supply and demand balance cycle M with the balance comparison thresholds α1 and α2, and optimizes the adjustment process of the supply and demand suitable parameters according to the comparison results. The optimized supply and demand suitable parameters are S2(n).

10. The smart agricultural data processing system according to claim 9, characterized in that: The planting suggestion analysis module arranges the supply and demand suitability parameters in descending order, and takes the agricultural product names corresponding to the largest Y supply and demand suitability parameters as planting suggestions, where Y represents the recommended quantity parameter.

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