Paddy field soil moisture content detection system and method based on multi-data fusion

Abstract

The invention relates to the technical field of soil detection, and particularly discloses a rice field soil moisture content detection system and method based on multi-data fusion, and the system comprises a data collection module which is used for collecting environment information in a rice field and equipment data of a soil moisture sensor in a detection process; the sensitivity of the soil moisture sensor can be calibrated by combining the environmental information in the rice field and the equipment data of the soil moisture sensor, the deviation of the detection result of the moisture content in the soil can be reduced, the reliability and accuracy of the data are improved, and the accuracy of the data is improved by analyzing the data. Whether irrigation is needed or not at present can be accurately judged, through the arrangement, diversified data can provide accurate data support for agricultural production, accurate calculation of the actual moisture content in rice field soil can be achieved, when irrigation operation is needed, the irrigation amount can be accurately adjusted, and the irrigation efficiency is improved. And the crop growth environment is optimized.

Description

Technical Field

[0001] The present invention relates to the technical field of soil detection, and in particular to a paddy field soil moisture content detection system and method based on multi-data fusion. Background Art

[0002] The paddy field soil moisture content detection system is a technical equipment specially used to monitor the moisture content of paddy field soil. It is of great significance for farmland irrigation management, crop growth monitoring and rational use of water resources.

[0003] The working principle of the paddy field soil moisture content detection system is based on the measurement of the soil dielectric constant by the soil moisture sensor. Combined with the preset algorithms and models, the soil moisture content can be calculated to provide timely and accurate data support for agricultural production, thereby scientifically guiding irrigation work, avoiding over-irrigation or under-irrigation, thereby saving water resources and reducing water waste.

[0004] Nowadays, the common moisture content detection system relies more on soil moisture sensors when in use. However, soil moisture sensors are subject to certain limitations and external influences when in use, which leads to certain errors in their monitoring results and cannot provide accurate data support for agricultural production. Irrigation operations based on this may result in over-irrigation or under-irrigation, thus failing to achieve the effect of optimizing the growth environment of crops. Summary of the invention

[0005] The purpose of the present invention is to provide a paddy field soil moisture content detection system and method based on multi-data fusion to solve the following technical problems:

[0006] How to provide accurate soil moisture data for agricultural production to achieve precision irrigation.

[0007] The purpose of the present invention can be achieved by the following technical solutions:

[0008] A paddy field soil moisture content detection system and method based on multi-data fusion, the system comprising:

[0009] The data acquisition module is used to collect environmental information in the rice field and equipment data of the soil moisture sensor during the detection process;

[0010] A regional division module is used to divide paddy field soil into multiple regions;

[0011] The moisture content detection module is used to calculate the actual moisture content in the paddy field soil based on the information collected by the data acquisition module and the moisture content data of different areas measured by the soil moisture sensor, and upload it to the cloud;

[0012] An analysis and comparison module is used to compare and analyze the calculated data of the moisture content detection module in combination with a preset moisture content threshold interval, and determine whether irrigation operations are required based on the comparison results;

[0013] The soil sampling and measurement module is used to sample and analyze the soil in different areas of the rice field when it is determined that irrigation operations are needed, and to measure and analyze the water retention of the soil based on the analysis results and upload them to the cloud;

[0014] The irrigation amount adjustment module is used to extract data from the water content detection module and the soil information determination module in the cloud, and adjust the irrigation amount in combination with future weather information data.

[0015] Furthermore, the environmental information in the paddy field collected by the data collection module includes the temperature and humidity in the paddy field, and the equipment data of the soil moisture sensor collected includes the material accuracy of the sensor.

[0016] Furthermore, the detection process of the water content detection module includes: Calculate the actual moisture content in paddy soil during a data collection ;

[0017] Among them, a is any area in the paddy field soil, b is the total number of areas divided in the paddy field soil, is any tester, n is the total number of testers, is the water content in the ath area of ​​the paddy field soil measured by the i-th inspector using the soil moisture sensor in a data collection. is the weight coefficient of the test result of the i-th tester in a data collection, which is set according to experience fitting. is the temperature in the rice field during a data collection, is the humidity in the rice field during a data collection, is the error influence coefficient, which is set according to empirical fitting. For the preset humidity, For the preset stability, is the material accuracy of the soil moisture sensor, For the preset accuracy, and is the first weight coefficient group, It is the adjustment coefficient comparison table function, because according to the empirical data The influence of the range of values ​​on the sensor accuracy is obtained based on test data.

[0018] Furthermore, the analysis process of the analysis and comparison module includes:

[0019] By collecting data in one go, the accurate moisture content of paddy field soil can be The preset moisture content threshold range Make a comparison;

[0020] like ,The system determines that the water content in the paddy field soil is lower than the critical value when the data is collected, and irrigation operations need to be carried out in time to ensure that the crops have a suitable growth environment;

[0021] like ,The system determines that the water content in the paddy field soil is higher than the critical value but lower than the saturation value when the data is collected, makes a mark, and increases the frequency of water content data collection;

[0022] like When the system collects this data, the moisture content in the paddy field soil is higher than the saturation value and no irrigation is required.

[0023] Furthermore, the working process of the soil sampling and determination module includes:

[0024] S1: Determine whether the paddy field soil needs irrigation according to the judgment result of the analysis and comparison module. If yes, proceed to step S2; otherwise, do nothing;

[0025] S2: Staff members take samples of soil in different areas;

[0026] S3: Analyze and record soil parameters in different areas, including soil pore size, thickness, organic matter content, and density.

[0027] Furthermore, the working process of the soil sampling and determination module includes:

[0028] Then by the formula Calculate the water retention of the soil in the ath area in a data collection ;

[0029] in, is the soil pore size of the ath area in a data collection, is the preset pore size, is the soil thickness of the ath area in a data collection, is the preset thickness, is the influence coefficient of organic matter content in the ath area in a data collection, which is set according to empirical fitting. is the soil density of the ath area in a data collection, The default density.

[0030] Furthermore, the adjustment process of the irrigation amount adjustment module includes:

[0031] By formula Calculate the adjusted irrigation amount ;

[0032] in, is the preset irrigation amount, and is the second weight coefficient group, For any day in the future irrigation cycle, is the total number of days in the future irrigation cycle, is the average temperature on the sth day in the future irrigation cycle, is the preset average temperature, for The standard value of .

[0033] A method for detecting paddy field soil moisture content based on multi-data fusion, the method comprising:

[0034] S10: Divide paddy field soil into multiple regions through a region division module;

[0035] S20: Collecting environmental information in the rice field and equipment data of the soil moisture sensor during the detection process through the data acquisition module;

[0036] S30: The actual moisture content in the paddy field soil is calculated by the moisture content detection module according to the information collected by the data acquisition module and the moisture content data of different areas measured by the soil moisture sensor, and uploaded to the cloud;

[0037] S40: performing a comparison analysis based on the calculated data of the moisture content detection module and a preset moisture content threshold interval through the analysis and comparison module, and determining whether irrigation operation is required based on the comparison result;

[0038] S50: When it is determined that irrigation is required, the soil in different areas of the rice field is sampled and analyzed through the soil sampling and measurement module, and the water retention of the soil is measured and analyzed according to the analysis results, and uploaded to the cloud;

[0039] S60: The irrigation amount adjustment module extracts data from the water content detection module and the soil information determination module in the cloud, and adjusts the irrigation amount in combination with future weather information data.

[0040] Beneficial effects of the present invention:

[0041] (1) The present invention can calibrate the sensitivity of the soil moisture sensor by combining the environmental information in the rice field with the equipment data of the soil moisture sensor, thereby reducing the deviation of the detection results of the moisture content in the soil, thereby improving the reliability and accuracy of the data, and by analyzing the data, it can make an accurate judgment on whether irrigation is currently needed. Through such a setting, diversified data can provide accurate data support for agricultural production, not only can the actual moisture content in the rice field soil be accurately calculated, but also when irrigation operations are required, the irrigation amount can be accurately adjusted to optimize the growth environment of crops.

[0042] (2) The present invention collects the accurate moisture content of paddy field soil in one data collection. The preset moisture content threshold range Through this comparison method, not only can different optimization plans be formulated according to the water content in the paddy field soil, but also because the water content data in the paddy field soil is highly reliable, it is possible to make an accurate judgment on whether the current paddy field soil needs irrigation, and adjust the irrigation amount in time to ensure that the crops in the paddy field are in a suitable growth environment, thereby achieving the effect of optimizing the growth environment of the crops.

[0043] (3) The present invention has staff sample the soil in different areas and analyze and record the soil parameters in different areas, including the pore size, thickness, organic matter content and density of the soil. By obtaining soil data, the water retention capacity of the soil can be analyzed, thereby providing additional data support for the subsequent adjustment of irrigation volume, ensuring the accuracy of the irrigation volume adjustment results, and avoiding over-irrigation or under-irrigation.

[0044] (4) The present invention combines the water retention of the soil in the ath area in a data collection , the actual moisture content in paddy soil during a data collection As well as diversified data such as future temperature data, the accuracy of the adjusted irrigation volume calculation results can be improved, thereby ensuring good irrigation effects, avoiding over-irrigation or under-irrigation, and achieving the effect of optimizing the growth environment for crops.

[0045] (5) The present invention can improve the accuracy of soil moisture monitoring results by combining environmental information in the rice field with equipment data of the soil moisture sensor when detecting the moisture content in the paddy field soil. Based on the analysis of the data, an accurate judgment can be made as to whether the paddy field soil currently needs irrigation. When it is judged that irrigation is needed, the irrigation amount can be accurately adjusted by combining the soil water retention information and future weather information, thereby providing accurate soil moisture data for agricultural production to achieve precision irrigation. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The present invention will be further described below in conjunction with the accompanying drawings.

[0047] Figure 1 It is a schematic block diagram of a paddy field soil moisture content detection system based on multi-data fusion in the present invention;

[0048] Figure 2 It is a flow chart of the working process of the soil sampling and measuring module in the present invention;

[0049] Figure 3 It is a flow chart of a method for detecting moisture content in paddy field soil based on multi-data fusion in the present invention. DETAILED DESCRIPTION

[0050] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0051] See also Figure 1 As shown, in one embodiment, the present application provides a paddy field soil moisture content detection system and method based on multi-data fusion, the system comprising:

[0052] The data acquisition module is used to collect environmental information in the rice field and equipment data of the soil moisture sensor during the detection process;

[0053] A regional division module is used to divide paddy field soil into multiple regions;

[0054] The moisture content detection module is used to calculate the actual moisture content in the paddy field soil based on the information collected by the data acquisition module and the moisture content data of different areas measured by the soil moisture sensor, and upload it to the cloud;

[0055] An analysis and comparison module is used to compare and analyze the calculated data of the moisture content detection module in combination with a preset moisture content threshold interval, and determine whether irrigation operations are required based on the comparison results;

[0056] The soil sampling and measurement module is used to sample and analyze the soil in different areas of the rice field when it is determined that irrigation operations are needed, and to measure and analyze the water retention of the soil based on the analysis results and upload them to the cloud;

[0057] The irrigation amount adjustment module is used to extract the data from the water content detection module and the soil information determination module in the cloud, and adjust the irrigation amount in combination with the future weather information data;

[0058] Through the above technical scheme, this embodiment provides a regional division module for dividing the paddy field soil into multiple areas. When detecting the moisture content of the paddy field soil, the data acquisition module is first used to collect the environmental information in the paddy field during the detection process and the equipment data of the soil moisture sensor. Then, the moisture content detection module is used to calculate the actual moisture content in the paddy field soil according to the information collected by the data acquisition module and the moisture content data of different areas measured by the soil moisture sensor, and the actual moisture content in the paddy field soil is obtained and uploaded to the cloud. After that, the analysis and comparison module is used to compare and analyze the calculated data of the moisture content detection module in combination with the preset moisture content threshold interval, and it is judged whether irrigation operation is needed according to the comparison result. When it is judged that irrigation operation is needed, the soil sampling and determination module can be used to sample and analyze the soil in different areas of the paddy field, and the water retention of the soil can be determined and analyzed according to the analysis result. Finally, the irrigation amount adjustment module is used to extract the data in the moisture content detection module and the soil information determination module in the cloud, and the irrigation amount is adjusted in combination with the future weather information data.

[0059] By combining the environmental information in the rice field with the equipment data of the soil moisture sensor, the sensitivity of the soil moisture sensor can be calibrated, which can reduce the deviation of the moisture content detection results in the soil, thereby improving the reliability and accuracy of the data. By analyzing the data, an accurate judgment can be made on whether irrigation is currently needed. Through such a setting, diversified data can provide accurate data support for agricultural production, which can not only realize the accurate calculation of the actual moisture content in the rice field soil, but also can accurately adjust the irrigation amount when irrigation operations are needed, so as to optimize the growth environment of crops.

[0060] The paddy field environment information collected by the data collection module includes the temperature and humidity in the paddy field, and the collected soil moisture sensor equipment data includes the material accuracy of the sensor;

[0061] Through the above technical solution, this embodiment provides environmental information in the rice field, including the temperature and humidity in the rice field, and equipment data of the soil moisture sensor including the material accuracy of the sensor. Since the sensitivity of the soil moisture sensor will be affected by the external temperature, humidity and material accuracy, resulting in errors in its detection results, by providing this data, accurate data can be provided for the subsequent calculation of the actual moisture content in the rice field soil in a data collection, thereby ensuring that the calculation results are closer to the actual situation and ensuring the accuracy and reliability of the calculation results.

[0062] The detection process of the moisture content detection module includes:

[0063] By formula Calculate the actual moisture content in paddy soil during a data collection ;

[0064] Among them, a is any area in the paddy field soil, b is the total number of areas divided in the paddy field soil, is any tester, n is the total number of testers, is the water content in the ath area of ​​the paddy field soil measured by the i-th inspector using the soil moisture sensor in a data collection. is the weight coefficient of the test result of the i-th tester in a data collection, which is set according to experience fitting. is the temperature in the rice field during a data collection, is the humidity in the rice field during a data collection, is the error influence coefficient, which is set according to empirical fitting. For the preset humidity, For the preset stability, is the material accuracy of the soil moisture sensor, For the preset accuracy, and is the first weight coefficient group, It is the adjustment coefficient comparison table function, because according to the empirical data The influence of the range of values ​​on the sensor accuracy is obtained based on the test data;

[0065] Through the above technical solution, this embodiment provides the actual moisture content of paddy soil in one data collection. , can be obtained by formula It is obvious that by combining the humidity, temperature and material accuracy of the soil moisture sensor in the rice field in one data collection, the sensitivity and detection accuracy of the soil moisture sensor can be improved, and by taking the average value of the test results of multiple inspectors, the accuracy of the collected data can be improved, thereby improving the accuracy of the calculation results of the actual moisture content in the rice field soil in one data collection, thereby providing accurate data support for the subsequent judgment of whether irrigation operations are needed, and ensuring the accuracy of the judgment results.

[0066] The analysis process of the analysis and comparison module includes:

[0067] By collecting data in one go, the accurate moisture content of paddy field soil can be The preset moisture content threshold range Make a comparison;

[0068] like ,The system determines that the water content in the paddy field soil is lower than the critical value when the data is collected, and irrigation operations need to be carried out in time to ensure that the crops have a suitable growth environment;

[0069] like ,The system determines that the water content in the paddy field soil is higher than the critical value but lower than the saturation value when the data is collected, makes a mark, and increases the frequency of water content data collection;

[0070] like ,When the system collects this data, the water content in the paddy field soil is higher than the saturation value, and no irrigation operation is required;

[0071] Through the above technical solution, this embodiment collects the accurate moisture content of paddy soil in one data collection. The preset moisture content threshold range Through this comparison method, not only can different optimization plans be formulated according to the water content in the paddy field soil, but also because the water content data in the paddy field soil is highly reliable, it is possible to make an accurate judgment on whether the current paddy field soil needs irrigation, and adjust the irrigation amount in time to ensure that the crops in the paddy field are in a suitable growth environment, thereby achieving the effect of optimizing the growth environment of the crops.

[0072] See also Figure 2 As shown, the working process of the soil sampling and determination module includes:

[0073] S1: Determine whether the paddy field soil needs irrigation according to the judgment result of the analysis and comparison module. If yes, proceed to step S2; otherwise, do nothing;

[0074] S2: Staff members take samples of soil in different areas;

[0075] S3: Analyze and record soil parameters in different areas, including soil pore size, thickness, organic matter content and density;

[0076] Through the above technical scheme, this embodiment provides a working process of the soil sampling and measurement module. First, it is determined whether the paddy field soil needs irrigation according to the judgment result of the analysis and comparison module. When it is judged as yes, the staff samples the soil in different areas and analyzes and records the soil parameters in different areas, including the pore size, thickness, organic matter content and density of the soil. By obtaining the soil data, the water retention capacity of the soil can be analyzed, thereby providing additional data support for the subsequent adjustment of the irrigation amount, ensuring the accuracy of the irrigation amount adjustment results, and avoiding over-irrigation or under-irrigation.

[0077] The working process of the soil sampling and determination module includes:

[0078] Then by the formula Calculate the water retention of the soil in the ath area in a data collection ;

[0079] in, is the soil pore size of the ath area in a data collection, is the preset pore size, is the soil thickness of the ath area in a data collection, is the preset thickness, is the influence coefficient of organic matter content in the ath area in a data collection, which is set according to empirical fitting. is the soil density of the ath area in a data collection, is the preset density;

[0080] Through the above technical solution, this embodiment provides the soil water retention of the ath area in a data collection. , can be obtained by formula It is obvious that when the soil pores in the ath area are smaller and the thickness and density are larger in a data collection, the water retention of the soil in the ath area is higher, indicating that the rate of water loss in the area is slower. Conversely, when the soil pores in the ath area are larger and the thickness and density are smaller in a data collection, the water retention of the soil in the ath area is smaller, indicating that the rate of water loss in the area is faster. The data obtained by calculation can provide multi-dimensional data support for the subsequent adjustment of irrigation amount, thereby ensuring the accuracy of the irrigation amount adjustment results and avoiding over-irrigation or under-irrigation.

[0081] The adjustment process of the irrigation amount adjustment module includes:

[0082] By formula Calculate the adjusted irrigation amount ;

[0083] in, is the preset irrigation amount, and is the second weight coefficient group, For any day in the future irrigation cycle, is the total number of days in the future irrigation cycle, is the average temperature on the sth day in the future irrigation cycle, is the preset average temperature, for The standard value of

[0084] Through the above technical solution, this embodiment provides an adjusted irrigation amount. , can be obtained by formula Calculated, due to the actual moisture content in the paddy field soil during one data collection The calculation results are more accurate and reliable, so it can avoid the situation where the moisture monitoring results have errors and cannot provide accurate data support for agricultural production. Therefore, by combining the soil water retention of the ath area in a data collection , the actual moisture content in paddy soil during a data collection As well as diversified data such as future temperature data, the accuracy of the adjusted irrigation amount calculation results can be improved, thereby ensuring good irrigation effects, avoiding over-irrigation or under-irrigation, and achieving the effect of optimizing the growth environment of crops.

[0085] See also Figure 3 As shown, a method for detecting soil moisture content in paddy fields based on multi-data fusion, the method comprising:

[0086] S10: Divide paddy field soil into multiple regions through a region division module;

[0087] S20: Collecting environmental information in the rice field and equipment data of the soil moisture sensor during the detection process through the data acquisition module;

[0088] S30: The actual moisture content in the paddy field soil is calculated by the moisture content detection module according to the information collected by the data acquisition module and the moisture content data of different areas measured by the soil moisture sensor, and uploaded to the cloud;

[0089] S40: performing a comparison analysis based on the calculated data of the moisture content detection module and a preset moisture content threshold interval through the analysis and comparison module, and determining whether irrigation operation is required based on the comparison result;

[0090] S50: When it is determined that irrigation is required, the soil in different areas of the paddy field is sampled and analyzed through the soil sampling and determination module, and the water retention of the soil is determined and analyzed based on the analysis results, and uploaded to the cloud;

[0091] S60: extracting data from the water content detection module and the soil information determination module in the cloud through the irrigation amount adjustment module, and adjusting the irrigation amount in combination with future weather information data;

[0092] Through the above technical scheme, this embodiment provides a paddy field soil moisture content detection method based on multi-data fusion, firstly, the paddy field soil is divided into multiple areas through the area division module, and then when performing the detection operation, the environmental information in the paddy field during the detection process and the equipment data of the soil moisture sensor are collected through the data acquisition module, and the actual moisture content in the paddy field soil is calculated and uploaded to the cloud through the moisture content detection module according to the information collected by the data acquisition module and the moisture content data of different areas measured by the soil moisture sensor, and then the analysis and comparison module is used to compare and analyze the calculated data of the moisture content detection module in combination with the preset moisture content threshold interval, and it is judged whether irrigation operation is needed according to the comparison result, and then when it is judged that irrigation operation is needed, the soil in different areas of the paddy field is sampled and analyzed through the soil sampling and measurement module, and the water retention of the soil is measured and analyzed according to the analysis result, and uploaded to the cloud, and finally the irrigation amount adjustment module is used to extract the data in the moisture content detection module and the soil information measurement module in the cloud, and the irrigation amount is adjusted in combination with the future weather information data;

[0093] Through such a setting, when detecting the moisture content of paddy field soil, the accuracy of the soil moisture monitoring results can be improved by combining the environmental information in the paddy field with the equipment data of the soil moisture sensor. Based on the analysis of this data, an accurate judgment can be made on whether the paddy field soil currently needs irrigation. When it is judged that irrigation is needed, the irrigation amount can be accurately adjusted by combining the soil water retention information and future weather information, thereby providing accurate soil moisture data for agricultural production to achieve precision irrigation.

[0094] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A paddy field soil moisture content detection system based on multi-data fusion, characterized in that: The system comprises: The data acquisition module is used to collect environmental information in the rice field and equipment data of the soil moisture sensor during the detection process; A regional division module is used to divide paddy field soil into multiple regions; The moisture content detection module is used to calculate the actual moisture content in the paddy field soil based on the information collected by the data acquisition module and the moisture content data of different areas measured by the soil moisture sensor, and upload it to the cloud; An analysis and comparison module is used to compare and analyze the calculated data of the moisture content detection module in combination with a preset moisture content threshold interval, and determine whether irrigation operations are required based on the comparison results; The soil sampling and measurement module is used to sample and analyze the soil in different areas of the rice field when it is determined that irrigation operations are needed, and to measure and analyze the water retention of the soil based on the analysis results and upload them to the cloud; The irrigation amount adjustment module is used to extract data from the water content detection module and the soil information determination module in the cloud, and adjust the irrigation amount in combination with future weather information data.

2. A paddy field soil moisture content detection system based on multi-data fusion according to claim 1, characterized in that: The environmental information in the paddy field collected by the data collection module includes the temperature and humidity in the paddy field, and the equipment data of the soil moisture sensor collected includes the material accuracy of the sensor.

3. A paddy field soil moisture content detection system based on multi-data fusion according to claim 2, characterized in that: The detection process of the moisture content detection module includes: By formula Calculate the actual moisture content in paddy soil during a data collection ; Among them, a is any area in the paddy field soil, b is the total number of areas divided in the paddy field soil, is any tester, n is the total number of testers, is the water content in the ath area of ​​the paddy field soil measured by the i-th inspector using the soil moisture sensor in a data collection. is the weight coefficient of the test result of the i-th tester in a data collection, which is set according to experience fitting. is the temperature in the rice field during a data collection, is the humidity in the rice field during a data collection, is the error influence coefficient, which is set according to empirical fitting. For the preset humidity, For the preset stability, is the material accuracy of the soil moisture sensor, For the preset accuracy, and is the first weight coefficient group, It is the adjustment coefficient comparison table function, because according to the empirical data The degree to which the range of values ​​affects the sensor accuracy is obtained based on test data.

4. A paddy field soil moisture content detection system based on multi-data fusion according to claim 3, characterized in that: The analysis process of the analysis and comparison module includes: By collecting data in one go, the accurate moisture content of paddy field soil can be The preset moisture content threshold range Make a comparison; like ,The system determines that the water content in the paddy field soil is lower than the critical value when the data is collected, and irrigation operations need to be carried out in time to ensure that the crops have a suitable growth environment; like ,The system determines that the water content in the paddy field soil is higher than the critical value but lower than the saturation value when the data is collected, makes a mark, and increases the frequency of water content data collection; like When the system collects this data, the moisture content in the paddy field soil is higher than the saturation value and no irrigation is required.

5. The paddy field soil moisture content detection system based on multi-data fusion according to claim 1 is characterized in that: The working process of the soil sampling and determination module includes: S1: Determine whether the paddy field soil needs irrigation according to the judgment result of the analysis and comparison module. If yes, proceed to step S2; otherwise, do nothing; S2: Staff members take samples of soil in different areas; S3: Analyze and record soil parameters in different areas, including soil pore size, thickness, organic matter content, and density.

6. A paddy field soil moisture content detection system based on multi-data fusion according to claim 5, characterized in that: The working process of the soil sampling and determination module includes: Then by the formula Calculate the water retention of the soil in the ath area in a data collection ; in, is the soil pore size of the ath area in a data collection, is the preset pore size, is the soil thickness of the ath area in a data collection, is the preset thickness, is the influence coefficient of organic matter content in the ath area in a data collection, which is set according to empirical fitting. is the soil density of the ath area in a data collection, The default density.

7. A paddy field soil moisture content detection system based on multi-data fusion according to claim 6, characterized in that: The adjustment process of the irrigation amount adjustment module includes: By formula Calculate the adjusted irrigation amount ; in, is the preset irrigation amount, and is the second weight coefficient group, For any day in the future irrigation cycle, is the total number of days in the future irrigation cycle, is the average temperature on the sth day in the future irrigation cycle, is the preset average temperature, for The standard value of .

8. A method for detecting soil moisture content in paddy fields based on multi-data fusion, characterized in that: The method adopts a paddy field soil moisture content detection system based on multi-data fusion as described in any one of claims 1 to 7, and the method comprises: S10: Divide paddy field soil into multiple regions through a region division module; S20: Collecting environmental information in the rice field and equipment data of the soil moisture sensor during the detection process through the data acquisition module; S30: The actual moisture content in the paddy field soil is calculated by the moisture content detection module according to the information collected by the data acquisition module and the moisture content data of different areas measured by the soil moisture sensor, and uploaded to the cloud; S40: performing a comparison analysis based on the calculated data of the moisture content detection module and a preset moisture content threshold interval through the analysis and comparison module, and determining whether irrigation operation is required based on the comparison result; S50: When it is determined that irrigation is required, the soil in different areas of the rice field is sampled and analyzed through the soil sampling and measurement module, and the water retention of the soil is measured and analyzed according to the analysis results, and uploaded to the cloud; S60: The irrigation amount adjustment module extracts data from the water content detection module and the soil information determination module in the cloud, and adjusts the irrigation amount in combination with future weather information data.

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