Agricultural information service system based on agricultural big data

Abstract

The invention relates to the field of agricultural information service, in particular to an agricultural information service system based on agricultural big data, and the system comprises an evaluation module which carries out the nutrition evaluation of to-be-cultivated soil, and supplements the needed nutrient elements; the analysis module is used for dividing the land supplemented with the nutrient elements into a plurality of M * N planting areas for planting crops according to the land supplemented with the nutrient elements, regularly collecting images according to a preset growth period of the planted crops and judging the health condition of the growth form of the crops; and the processing module is used for determining the substandard proportion of the growth form in the planting area according to the health condition of the crop growth form, determining an improved mode according to the substandard proportion and a standard proportion range, generating a growth cycle report and sending the growth cycle report to the display screen through the data interface. The system is reasonably arranged according to the growth form of crops, so that the production benefit is improved.

Description

Technical Field

[0001] The present invention relates to the field of agricultural big data, and in particular to an agricultural information service system based on agricultural big data. Background Art

[0002] Agricultural big data is a key factor in promoting the development of modern agriculture. It not only promotes the intelligence of agricultural production, but also helps to improve the utilization efficiency of agricultural resources and the quality and safety of agricultural products. With the continuous advancement of technology and policy support, agricultural big data is expected to play a greater role in the future.

[0003] The patent document with the Chinese publication number CN117973701A discloses an agricultural service management method and system based on big data, which includes: obtaining crop planting area information and planting area holder demand information; the crop planting area information includes historical planting information, planting area area information, planting area layout information and planting area soil information; the historical planting information includes historical crop variety information, historical crop layout and area information, historical crop planting density information and historical crop processing process information; determining the current crop to be planted according to the crop planting area information and the planting area holder demand information crop planting information according to a preset crop planting analysis model and the current information of the crops to be planted; the crop planting information includes a plurality of planting modes; the planting modes include crop planting variety information, crop planting location and area information, crop planting demand information and crop planting cost information; retrieve preset crop market value information, estimate crop selling value information according to the preset crop market value information and the crop planting information; determine holder satisfaction information according to the crop selling value information; determine crop planting selection results according to the holder satisfaction information.

[0004] In the prior art, determining the holder satisfaction information based on the crop sales value information does not improve the production efficiency of the crops themselves. Summary of the invention

[0005] To this end, the present invention provides an agricultural information service system based on agricultural big data, which can solve the problem of uneven crop growth during the planting process.

[0006] To achieve the above object, the present invention provides an agricultural information service system based on agricultural big data, the system comprising:

[0007] An assessment module is used to conduct a nutritional assessment on the soil to be cultivated and supplement the nutrients required to form the target soil;

[0008] An analysis module, connected to the evaluation module, divides the target soil into a plurality of M*N planting areas, wherein the planting areas are used to plant crops, and regularly collects images according to a preset growth cycle of the planted crops to determine the health status of the crop growth form;

[0009] a processing module connected to the analysis module, determining the proportion of growth forms that do not meet the standards in each planting area according to the health status, determining an improvement mode according to the range between the proportion of non-standard growth and the proportion of standard growth, and recording the growth form status of the crop growth cycle after making improvements according to the improvement mode and generating a growth cycle report;

[0010] The communication module is connected to the processing module and sends the growth cycle report to the display screen through a data interface.

[0011] Furthermore, the evaluation module includes:

[0012] A soil sample collection unit, used to collect soil samples from different locations in the soil to be cultivated;

[0013] A soil testing unit connected to the soil sample collection unit for evaluating the nutrient elements of the collected soil sample, wherein the nutrient elements include pH value, organic matter content, and nutrient contents of nitrogen, phosphorus, and potassium;

[0014] A soil improvement unit connected to the soil testing unit is used to take corresponding soil improvement measures according to the evaluation results of soil nutrient elements, and the soil improvement measures include adjusting the pH value, increasing organic matter and / or supplementing required nutrient elements;

[0015] The monitoring and adjustment unit is connected to the soil improvement unit, and after the required nutrient elements are supplemented, the soil nutrition is evaluated again, and the fertilization plan is adjusted according to the evaluation result to form the target soil.

[0016] Furthermore, the analysis module includes:

[0017] A planting planning unit, which divides the target soil into a plurality of M*N planting areas, wherein the planting areas are used to plant crops;

[0018] A growth collection unit, connected to the planting planning unit, performs regular image collection according to a preset growth cycle of the planted crop;

[0019] The growth form judgment unit is connected to the image acquisition unit and performs a health assessment on the crops according to the images acquired by the growth acquisition unit to judge whether the growth form of the crops in the planting area in each growth cycle is healthy.

[0020] Furthermore, the growth collection unit comprises:

[0021] An image acquisition subunit, used to acquire image data of crops and analyze the growth status of crops according to the image data;

[0022] A trend analysis subunit, connected to the image acquisition subunit, for analyzing the crop growth trend according to the crop growth status and predicting the crop growth cycle;

[0023] The growth monitoring and judging subunit is connected to the trend analysis subunit and is used to monitor the growth of crops during the crop growth cycle to judge whether to enter the next growth stage. The growth conditions include height, number of leaves and biomass indicators.

[0024] Furthermore, the growth form judgment unit includes:

[0025] A feature extraction subunit, used to extract crop growth features according to the collected image, where the crop growth features include color, texture and shape;

[0026] A health assessment subunit, connected to the feature extraction subunit, for selecting crops with healthy color, uniform texture and regular shape as healthy samples according to the growth characteristics;

[0027] The growth form judgment subunit is connected to the health assessment subunit and is used to judge the growth form of crops in each planting area based on the health standard samples.

[0028] Furthermore, the processing module includes:

[0029] A proportion determination unit, for determining the proportion of substandard crop growth forms in each planting area according to the health determination of the crop growth forms;

[0030] a problem analysis unit connected to the proportion determination unit, and detecting crop information adjacent to the crops that do not meet the standards in the planting area when the proportion of the crops that do not meet the standards in the planting area is within a specific standard proportion range; and performing a crop nutrition experiment analysis if the proportion of the crops that do not meet the standards in the planting area is greater than the standard proportion;

[0031] an implementation unit connected to the problem analysis unit, and determining an improvement mode according to the standard proportion range of crop growth forms in the planting area; if it is detected that there is a significant difference in the crop information adjacent to the substandard crops in the planting area, the spacing between adjacent units of the substandard crops is increased by several times; if the proportion of substandard crop growth forms in the planting area is greater than the standard proportion, a crop nutrition experiment analysis is performed to supplement the missing nutrients;

[0032] The report generating unit is connected to the implementing unit and is used to record the growth morphological status of the crop growth cycle after the improvement according to the improvement mode and generate a growth cycle report.

[0033] Furthermore, the proportion determining unit includes:

[0034] A data analysis subunit to analyze the color, texture and shape of crops growing in each planting area;

[0035] The classification and statistics subunit is connected to the data analysis subunit, and is used to classify crops into two categories: crops that meet the growth morphology standards and crops that do not meet the health standards, based on the comparison between the crop growth data and the healthy samples, and to count the proportion of crops that do not meet the standards.

[0036] Furthermore, the crop nutrition experimental analysis unit comprises:

[0037] The symptom identification subunit preliminarily determines the nutrient deficiency problem by identifying the appearance symptoms of crops in substandard planting areas;

[0038] The soil testing subunit is connected to the symptom identification subunit, and analyzes the nutrient content in the soil by identifying the external symptoms and then testing the soil, and the nutrient content includes nitrogen, phosphorus, potassium and trace elements.

[0039] Furthermore, the report generating unit includes:

[0040] A data storage subunit, used to collect growth morphological data of the crop growth cycle and store it in a database;

[0041] A trend analysis subunit fuses the data in the database to form a visual chart;

[0042] The report generation subunit generates a growth cycle report based on the data and charts.

[0043] Furthermore, the communication module includes:

[0044] A transmitting unit, transmitting the growth cycle report via Wi-Fi, Bluetooth or LoRa wireless technology;

[0045] The terminal receiving unit is connected to the transmitting unit, and is used to receive data from the transmitting unit, decode the data, and display the growth cycle report on a display screen.

[0046] Compared with the prior art, the beneficial effect of the present invention is that, through the adjustment module, the soil to be cultivated is evaluated for nutrition, and the required nutrients are supplemented, thereby ensuring the balance of nutrients in the soil, which is conducive to the healthy growth of crops, thereby improving the yield and quality of crops. The health assessment is performed based on the image acquisition of the crop growth cycle in the planting area, and the health status of the crop growth form is determined. Problems in crop growth can be discovered in time, and the planting structure can be optimized by detecting the crop information adjacent to the substandard crops in the planting area or the scheme for supplementing the missing nutrients. Problems affecting crop growth are discovered and solved in time, which helps to improve the overall crop yield and quality. The health assessment data of the collected crops is sent to the display screen through the interface of the device communication, which is convenient for recording key data of crop growth, providing convenience for long-term tracking and analysis, and reducing labor costs and time consumption.

[0047] In particular, soil samples from different locations are collected through the soil sample collection unit to ensure that the samples are representative; the collected soil samples are evaluated for nutrients through the soil testing unit. By understanding the actual content of each nutrient in the soil, the type and amount of fertilizer required can be accurately determined to avoid excessive or insufficient fertilization; the required nutrients are supplemented through the soil improvement unit to ensure the balance of nutrients in the soil, which is conducive to the healthy growth of crops and thus improves the yield and quality of crops; according to the monitoring and adjustment unit, after supplementing the required nutrients, soil changes are monitored regularly to promptly discover and prevent possible soil problems and reduce agricultural production risks.

[0048] In particular, the division of crop planting areas through the planting planning unit helps to monitor the crop growth in different areas in more detail and facilitate management. The use of the growth collection unit to preset the growth cycle of the crops for regular image collection helps to conduct timely periodic collection for health assessment, timely discover problems in crop growth, and make improvements.

[0049] In particular, by predicting the crop growth cycle, a basis is provided for the next stage of collection, thereby improving crop production efficiency.

[0050] In particular, by conducting a healthy assessment of the growth patterns of crops, timely improvement plans can be made to improve the operating efficiency of the entire process.

[0051] In particular, based on the health judgment of crop growth form, the proportion of crop growth forms that do not meet the standards in each planting area can be determined, and more targeted agricultural management measures can be implemented. Through program improvements, it will help to improve the overall crop yield and quality. By generating reports, the growth form of the crop growth cycle can be intuitively identified.

[0052] In particular, by analyzing the crop status and comparing it with the samples that meet the health standards, and counting the proportion of crops that do not meet the standards, the overall health status of the crops can be intuitively analyzed, providing an improvement basis for future optimized cultivation.

[0053] In particular, based on experimental analysis of the nutrients that crops lack, accurate supplementation plans can be formulated to improve the growing environment of crops and increase the proportion of healthy crops.

[0054] In particular, the cycle report is generated according to the growth morphology of the crop growth cycle, which is used to study the entire growth process of the crop and provide data support for future cultivation.

[0055] In particular, the communication module will collect crop health assessment data and send the information to the display screen through the device communication interface, making it easy to record key data on crop growth, facilitating long-term tracking and analysis, and reducing labor costs and time consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 A schematic diagram of the structure of an agricultural information service system based on agricultural big data provided by an embodiment of the present invention;

[0057] Figure 2 A schematic diagram of the structure of an evaluation module of an agricultural information service system based on agricultural big data provided by an embodiment of the present invention;

[0058] Figure 3 A schematic diagram of the structure of an analysis module of an agricultural information service system based on agricultural big data provided by an embodiment of the present invention;

[0059] Figure 4 A schematic diagram of the structure of a processing module of an agricultural information service system based on agricultural big data provided by an embodiment of the present invention;

[0060] Figure 5 A schematic diagram of the structure of a communication module of an agricultural information service system based on agricultural big data provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0061] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0062] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0063] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it should not be understood as a limitation on the present invention.

[0064] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected" and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0065] See also Figure 1 As shown, the agricultural information service system based on agricultural big data provided by the embodiment of the present invention includes:

[0066] An evaluation module 10 performs a nutritional evaluation on the soil to be cultivated and supplements the required nutrients to form a target soil;

[0067] The analysis module 20 is connected to the evaluation module, and divides the target soil into a plurality of M*N planting areas, wherein the planting areas are used to plant crops, and regularly collects images according to a preset growth cycle of the planted crops to determine the health status of the crop growth form;

[0068] The processing module 30 is connected to the analysis module, and determines the percentage of growth forms that do not meet the standards in each planting area according to the health status, determines an improvement mode according to the range between the percentage of growth forms that do not meet the standards and the percentage of standards, and records the growth form status of the crop growth cycle after making improvements according to the improvement mode and generates a growth cycle report;

[0069] The communication module 40 is connected to the processing module and sends the growth cycle report to the display screen through a data interface.

[0070] Specifically, this embodiment uses an adjustment module to conduct a nutritional assessment of the soil to be cultivated and supplement the nutrients it needs, thereby ensuring the balance of nutrients in the soil, which helps the crops grow healthily, thereby improving the yield and quality of the crops. The health assessment is performed based on the image collection of the crop growth cycle in the planting area to determine the health status of the crop growth form, and can timely discover problems in crop growth and optimize the planting structure. By detecting the crop information adjacent to the substandard crops in the planting area or improving the scheme of supplementing the missing nutrients, problems that affect crop growth can be discovered and solved in a timely manner, which helps to improve the overall crop yield and quality. The health assessment data of the collected crops is sent to the display screen through the device communication interface, which is convenient for recording key data of crop growth, providing convenience for long-term tracking and analysis, and reducing labor costs and time consumption.

[0071] See also Figure 2 As shown, the evaluation module 10 includes:

[0072] A soil sample collection unit 11 is used to collect soil samples at different locations in the soil to be cultivated;

[0073] A soil testing unit 12, which is connected to the soil sample collection unit, and is used to evaluate the nutrient elements of the collected soil sample, wherein the nutrient elements include pH value, organic matter content, and nutrient contents of nitrogen, phosphorus, and potassium;

[0074] A soil improvement unit 13, which is connected to the soil testing unit and is used to take corresponding soil improvement measures according to the evaluation results of soil nutrient elements, and the soil improvement measures include adjusting the pH value, increasing organic matter and / or supplementing required nutrient elements;

[0075] The monitoring and adjustment unit 14 is connected to the soil improvement unit and is used to evaluate the soil nutrition again after the required nutrient elements are supplemented, and to adjust the fertilization plan according to the evaluation result to form the target soil.

[0076] Specifically, the present embodiment collects soil samples from different locations through a soil sample collection unit to ensure that the samples are representative; the soil testing unit evaluates the nutrient elements of the collected soil samples, and by understanding the actual content of each nutrient element in the soil, the type and amount of fertilizer required can be accurately determined to avoid excessive or insufficient fertilization; the soil improvement unit supplements the required nutrient elements to ensure the balance of nutrient elements in the soil, which helps the healthy growth of crops and thus improves the yield and quality of crops; according to the monitoring and adjustment unit, after supplementing the required nutrient elements, the soil changes are regularly monitored to promptly discover and prevent possible soil problems and reduce agricultural production risks.

[0077] See also Figure 3 As shown, the analysis module 20 includes:

[0078] A planting planning unit 21 divides the target soil into a plurality of M*N planting areas, where the planting areas are used to plant crops;

[0079] A growth collection unit 22, connected to the planting planning unit 21, is used to perform regular image collection according to the growth cycle of the planted crops;

[0080] The growth form judgment unit 23 is connected to the image acquisition unit 22, and performs a health assessment on the crops according to the images acquired by the growth acquisition unit to determine whether the growth form of the crops in the planting area in each growth cycle is healthy.

[0081] Specifically, the embodiment of the present invention divides the planting areas of crops through the planting planning unit. The planting regionalization helps to monitor the growth conditions of crops in different areas in more detail and facilitates management. The growth collection unit is used to preset the growth cycle of the planted crops for regular image collection, which helps to conduct periodic collection for health assessment in time, discover problems in crop growth in time, and make improvements.

[0082] Specifically, the growth collection unit described in the embodiment of the present invention includes:

[0083] An image acquisition subunit, used to acquire image data of crops and analyze the growth status of crops according to the image data;

[0084] A trend analysis subunit, connected to the image acquisition subunit, for analyzing the crop growth trend according to the crop growth status and predicting the crop growth cycle;

[0085] The growth monitoring and judging subunit is connected to the trend analysis subunit and is used to monitor the growth of crops during the crop growth cycle to judge whether to enter the next growth stage. The growth conditions include height, number of leaves and biomass indicators.

[0086] Specifically, the embodiments of the present invention provide a basis for the next stage of harvesting by predicting the crop growth cycle, thereby improving the production efficiency of the crops.

[0087] Specifically, the growth form judgment unit in the embodiment of the present invention includes:

[0088] A feature extraction subunit, used to extract crop growth features according to the collected image, where the crop growth features include color, texture and shape;

[0089] A health assessment subunit, connected to the feature extraction subunit, for selecting crops with healthy color, uniform texture and regular shape as healthy samples according to the growth characteristics;

[0090] The growth form judgment subunit is connected to the health assessment subunit and is used to judge the growth form of crops in each planting area based on the health standard samples.

[0091] Specifically, the embodiments of the present invention make timely improvement plans through health assessment of the growth form of crops, thereby improving the operating efficiency of the entire process.

[0092] See also Figure 4 As shown, the processing module includes:

[0093] A proportion determination unit 31 is used to determine the proportion of substandard crop growth forms in each planting area according to the health determination of the crop growth forms;

[0094] A problem analysis unit 32 is connected to the proportion determination unit. When the proportion of crops in the planting area that do not meet the standard is 10%-30%, the crop information of adjacent crops that do not meet the standard is detected in the planting area. If the proportion of crops in the planting area that do not meet the standard is greater than 30%, a crop nutrition experiment analysis is performed.

[0095] The implementation unit 33 is connected to the problem analysis unit, and determines the improvement mode according to the standard proportion range of the crop growth form in the planting area. If it is detected that there is a significant difference in the crop information adjacent to the substandard crops in the planting area, the spacing between the adjacent units of the substandard crops is increased by several times. If the proportion of substandard crop growth forms in the planting area is greater than the standard proportion, a crop nutrition experiment analysis is performed to supplement the missing nutrients.

[0096] The report generating unit 34 is used to record the growth morphology of the crop during the growth cycle after the improvement according to the improvement mode and generate a growth cycle report.

[0097] Specifically, the crop nutrition experimental analysis described in the embodiment of the present invention preliminarily determines the nutritional deficiency problem by identifying the external symptoms of the crop, such as leaf color change, slow growth, abnormal leaf shape, and further conducts soil testing to analyze the nutrient content in the soil, including major nutrients such as nitrogen, phosphorus, potassium, and trace elements, and selects fertilizers containing the missing nutrients.

[0098] Specifically, the embodiment of the present invention determines the proportion of substandard crop growth forms in each planting area based on the health of the crop growth form, implements more targeted agricultural management measures, and helps to improve the overall crop yield and quality through program improvement. By generating reports, the growth form of the crop growth cycle can be intuitively identified.

[0099] Specifically, the proportion determination unit described in the embodiment of the present invention includes:

[0100] A data analysis subunit to analyze the color, texture and shape of crops growing in each planting area;

[0101] The classification and statistics subunit is connected to the data analysis subunit, and is used to classify crops into two categories: crops that meet the growth morphology standards and crops that do not meet the health standards, based on the comparison between the crop growth data and the healthy samples, and to count the proportion of crops that do not meet the standards.

[0102] Specifically, the embodiment of the present invention analyzes the crop status and compares it with the healthy samples, and counts the proportion of crops that do not meet the standards, so as to intuitively analyze the overall health status of the crops and provide an improvement basis for future optimized cultivation.

[0103] Specifically, the experimental analysis unit described in the embodiment of the present invention includes:

[0104] The symptom identification subunit preliminarily determines the nutrient deficiency problem by identifying the appearance symptoms of crops in substandard planting areas;

[0105] The soil testing subunit is connected to the symptom identification subunit, and analyzes the nutrient content in the soil by identifying the external symptoms and then testing the soil, and the nutrient content includes nitrogen, phosphorus, potassium and trace elements.

[0106] Specifically, the embodiments of the present invention analyze the nutrients lacking in crops based on experiments, accurately formulate supplementation plans, improve the growth environment of crops, and increase the proportion of healthy crops.

[0107] Specifically, the report generating unit described in the embodiment of the present invention includes:

[0108] A data storage subunit, used to collect growth morphological data of the crop growth cycle and store it in a database;

[0109] A trend analysis subunit fuses the data in the database to form a visual chart;

[0110] The report generation subunit generates a growth cycle report based on the data and charts.

[0111] Specifically, the embodiment of the present invention generates the cycle report according to the growth morphology of the crop growth cycle, which is used to study the entire growth process of the crop and provide data support for future cultivation.

[0112] See also Figure 5 As shown, the communication module includes:

[0113] A transmitting unit 41, a transmitting unit, transmits the growth cycle report via Wi-Fi, Bluetooth or LoRa wireless technology;

[0114] The terminal receiving unit 42 is connected to the transmission unit, and is used to receive data from the transmission unit, decode the data, and display the growth cycle report on the display screen.

[0115] Specifically, the communication module of the embodiment of the present invention collects crop health assessment data and sends the information to the display screen through the device communication interface, which is convenient for recording key data of crop growth, provides convenience for long-term tracking and analysis, and reduces labor costs and time consumption.

[0116] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0117] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An agricultural information service system based on agricultural big data, characterized in that: include: An assessment module is used to conduct a nutritional assessment on the soil to be cultivated and supplement the nutrients required to form the target soil; An analysis module, connected to the evaluation module, divides the target soil into a plurality of M*N planting areas, wherein the planting areas are used to plant crops, and regularly collects images according to a preset growth cycle of the planted crops to determine the health status of the crop growth form; a processing module connected to the analysis module, determining the proportion of growth forms that do not meet the standards in each planting area according to the health status, determining an improvement mode according to the range between the proportion of non-standard growth and the proportion of standard growth, and recording the growth form status of the crop growth cycle after making improvements according to the improvement mode and generating a growth cycle report; The communication module is connected to the processing module and sends the growth cycle report to the display screen through a data interface.

2. The agricultural information service system based on agricultural big data according to claim 1 is characterized in that: The evaluation module includes: A soil sample collection unit, used to collect soil samples from different locations in the soil to be cultivated; A soil testing unit connected to the soil sample collection unit for evaluating the nutrient elements of the collected soil sample, wherein the nutrient elements include pH value, organic matter content, and nutrient contents of nitrogen, phosphorus, and potassium; A soil improvement unit connected to the soil testing unit is used to take corresponding soil improvement measures according to the evaluation results of soil nutrient elements, and the soil improvement measures include adjusting the pH value, increasing organic matter and / or supplementing required nutrient elements; The monitoring and adjustment unit is connected to the soil improvement unit, and after the required nutrient elements are supplemented, the soil nutrition is evaluated again, and the fertilization plan is adjusted according to the evaluation result to form the target soil.

3. The agricultural information service system based on agricultural big data according to claim 2 is characterized in that: The analysis module comprises: A planting planning unit, which divides the target soil into a plurality of M*N planting areas, wherein the planting areas are used to plant crops; A growth collection unit, connected to the planting planning unit, performs regular image collection according to a preset growth cycle of the planted crop; The growth form judgment unit is connected to the image acquisition unit and performs a health assessment on the crops according to the images acquired by the growth acquisition unit to judge whether the growth form of the crops in the planting area in each growth cycle is healthy.

4. The agricultural information service system based on agricultural big data according to claim 3 is characterized in that: The growth collection unit comprises: An image acquisition subunit, used to acquire image data of crops and analyze the growth status of crops according to the image data; A trend analysis subunit, connected to the image acquisition subunit, for analyzing the crop growth trend according to the crop growth status and predicting the crop growth cycle; The growth monitoring and judging subunit is connected to the trend analysis subunit and is used to monitor the growth of crops during the crop growth cycle to judge whether to enter the next growth stage. The growth conditions include height, number of leaves and biomass indicators.

5. The agricultural information service system based on agricultural big data according to claim 4 is characterized in that: The growth form judgment unit comprises: A feature extraction subunit, used to extract crop growth features according to the collected image, where the crop growth features include color, texture and shape; A health assessment subunit, connected to the feature extraction subunit, for selecting crops with healthy color, uniform texture and regular shape as healthy samples according to the growth characteristics; The growth form judgment subunit is connected to the health assessment subunit and is used to judge the growth form of crops in each planting area based on the health standard samples.

6. The agricultural information service system based on agricultural big data according to claim 5 is characterized in that: The processing module comprises: A proportion determination unit, for determining the proportion of substandard crop growth forms in each planting area according to the health determination of the crop growth forms; a problem analysis unit connected to the proportion determination unit, and detecting crop information adjacent to the crops that do not meet the standards in the planting area when the proportion of the crops that do not meet the standards in the planting area is within a specific standard proportion range; and performing a crop nutrition experiment analysis if the proportion of the crops that do not meet the standards in the planting area is greater than the standard proportion; an implementation unit connected to the problem analysis unit, and determining an improvement mode according to the standard proportion range of crop growth forms in the planting area; if it is detected that there is a significant difference in the crop information adjacent to the substandard crops in the planting area, the spacing between adjacent units of the substandard crops is increased by several times; if the proportion of substandard crop growth forms in the planting area is greater than the standard proportion, a crop nutrition experiment analysis is performed to supplement the missing nutrients; The report generating unit is connected to the implementing unit and is used to record the growth morphological status of the crop growth cycle after the improvement according to the improvement mode and generate a growth cycle report.

7. The agricultural information service system based on agricultural big data according to claim 6 is characterized in that: The proportion determining unit includes: A data analysis subunit to analyze the color, texture and shape of crops growing in each planting area; The classification and statistics subunit is connected to the data analysis subunit, and is used to classify crops into two categories: crops that meet the growth morphology standards and crops that do not meet the health standards, based on the comparison between the crop growth data and the healthy samples, and to count the proportion of crops that do not meet the standards.

8. The agricultural information service system based on agricultural big data according to claim 7 is characterized in that: The crop nutrition experimental analysis unit comprises: The symptom identification subunit preliminarily determines the nutrient deficiency problem by identifying the appearance symptoms of crops in substandard planting areas; The soil testing subunit is connected to the symptom identification subunit, and analyzes the nutrient content in the soil by identifying the external symptoms and then testing the soil, and the nutrient content includes nitrogen, phosphorus, potassium and trace elements.

9. The agricultural information service system based on agricultural big data according to claim 8, characterized in that: The report generating unit comprises: A data storage subunit, used to collect growth morphological data of the crop growth cycle and store it in a database; A trend analysis subunit fuses the data in the database to form a visual chart; The report generation subunit generates a growth cycle report based on the data and charts.

10. The agricultural information service system based on agricultural big data according to claim 9, characterized in that: The communication module comprises: A transmitting unit, transmitting the growth cycle report via Wi-Fi, Bluetooth or LoRa wireless technology; The terminal receiving unit is connected to the transmitting unit, and is used to receive data from the transmitting unit, decode the data, and display the growth cycle report on a display screen.

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