Agricultural automatic soil humidity detection method

Abstract

The invention discloses an agricultural automatic soil humidity detection method, and relates to the technical field of agricultural automatic soil humidity detection. A data acquisition module is used for acquiring detection data related to the current soil humidity, and a data processing module is used for processing the detection data based on the current soil moisture content HS and the previous soil moisture content HSold; updating the output of the moisture retention coefficient B; and sequentially calculating and outputting a basic humidity value JS, an adjustment humidity value TS and a circulation influence humidity value JS ', and carrying out a new round of detection and calculation by taking the circulation influence humidity value JS' as circulation data for automatic detection. According to the method, the moisture retention capacity based on the basic humidity value and the current humidity value is adjusted and updated, then the humidity change is introduced, a comprehensive humidity value is calculated, the value is used as a substitute for the basic humidity value of the soil in the next round, and dynamic monitoring and self-adaptive adjustment of the soil humidity are achieved.

Description

Technical Field

[0001] The invention relates to the technical field of automatic detection of agricultural soil moisture, and in particular to an automatic detection method of agricultural soil moisture. Background Art

[0002] In agricultural production, soil moisture is one of the important factors affecting crop growth and yield. Traditional soil moisture detection methods mainly rely on manual sampling and laboratory analysis. This method is not only time-consuming and labor-intensive, but also difficult to achieve real-time monitoring and dynamic adjustment of soil moisture. In order to solve the limitations of traditional soil moisture detection methods, the agricultural field has begun to introduce automatic soil moisture detection technology. This technology integrates sensor technology, data processing technology and automatic control technology to achieve real-time monitoring and precise control of soil moisture. The automatic soil moisture detection system is usually composed of sensors, data collectors, data processing units and irrigation control systems.

[0003] However, the sensors used in some systems have limited accuracy and are unable to accurately reflect small changes in soil moisture. In addition, some systems do not fully consider the differences in soil characteristics, resulting in deviations in detection results. Some systems also lack a dynamic adjustment mechanism and are unable to adjust irrigation strategies in real time according to changes in soil moisture. This will lead to over-irrigation and under-irrigation, which will affect the normal growth of crops. In addition, some systems do not consider the dynamic changes of soil moisture retention, a key parameter, when calculating soil moisture. Soil moisture retention is calculated based on two rounds of soil moisture content detection results. If it is not updated in time, it will affect the accuracy and reliability of soil moisture detection. Summary of the invention

[0004] The purpose of the present invention is to provide an automatic detection method for agricultural soil moisture, which solves the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solution, and the specific implementation steps are as follows: Step S1: using a data acquisition module to collect detection data related to current soil moisture; Step S2: Based on the current soil moisture content HS and the previous soil moisture content HS old , and update the output of the water retention coefficient B using the data processing module; Step S3: Based on the moisture retention coefficient B and the detection data, the basic humidity value JS, the adjusted humidity value TS and the cycle-affected humidity value JS are calculated and output in sequence. ’ ; Step S4: Cycle the humidity value JS ’ As the circulating data of automatic detection, a new round of detection and calculation is carried out; The data processing module includes a unit for reflecting the current basic soil moisture status, a unit for further reflecting the current actual soil moisture status, and a unit for realizing the dynamic feedback influence of soil moisture.

[0006] Optionally, the equipment used in the data acquisition module includes a Decagon EC-5 soil moisture sensor and a data collector; The equipment used by the data processing module includes computers and embedded systems.

[0007] Optionally, the calculation formula of the moisture retention coefficient B is as follows: B=HS / HS old ; The water retention coefficient B reflects the ability of the soil to retain water; HS is the current soil moisture content; HS old It is the soil moisture content in the previous round.

[0008] Optionally, the calculation formula of the unit reflecting the current soil basic moisture status is as follows: JS=(JZ+HS×B) / (M+B×S 0.5 ); in: JS is the basic humidity value; JZ is the soil matrix water content; M is the soil surface area; S is the soil depth; The soil surface area M and soil depth S reflect the soil area and depth currently being automatically detected; (JZ+HS×B) reflects the natural moisture basis of the soil when it is not disturbed by the outside world; (M+B×S 0.5 ) is used to adjust the calculation of the basic moisture value JS, introducing the influence of soil surface area M and soil depth S on soil moisture to reflect the soil's ability to retain moisture.

[0009] Optionally, the calculation formula of the unit that further reflects the actual condition of the current soil moisture is as follows: ; in: TS is the adjusted humidity value; (1+JS-HS) calculates the difference between the basic humidity value JS and the current soil moisture content HS; The weighted ratio of the water retention coefficient B to the basic humidity value JS and the soil matrix moisture content JZ is calculated to reflect the influence of the soil's water retention capacity on humidity adjustment; HS / (M+B) is used as a subtraction item of the adjusted humidity value TS to reflect the impact of soil surface area M and water retention capacity on the current soil humidity.

[0010] Optionally, the calculation formula for realizing the soil moisture dynamic feedback influence unit is as follows: ; in: JS ’ To cycle the humidity value; It reflects the effect of soil surface area M, soil depth S and water retention coefficient B on humidity cycle.

[0011] Optionally, affect the humidity value based on the cycle JS ’ The automatic detection steps are as follows: S1, the cycle influence humidity value JS of the current calculation output ’ , as the result value basic humidity value JS in the unit reflecting the current soil basic humidity status in the next round, iteratively replaced; S2, detecting the current soil moisture content HS; S3, compare the current soil moisture content HS with the previous soil moisture content HS old Automatic comparison If the current soil moisture content HS is equal to the previous soil moisture content HS old The value of is the same, then the humidity value JS will be affected cyclically ’ , water retention coefficient B and the last round of soil moisture HS old The data are sequentially input into the unit for further reflecting the actual current soil moisture status and the unit for realizing the dynamic feedback influence of soil moisture, and automatically detected and outputted; If the current soil moisture content HS is equal to the previous soil moisture content HS old If the value is inconsistent, the calculation formula of the moisture retention coefficient B is used to calculate and output a new moisture retention coefficient B, and the cycle affects the humidity value JS ’ , the new moisture retention coefficient B and the current soil moisture content HS are sequentially input into the unit for further reflecting the current actual condition of soil moisture and the unit for realizing dynamic feedback influence of soil moisture for automatic detection and output.

[0012] Optionally, the soil moisture sensor is used to measure the soil matrix moisture content JZ and the current soil moisture content HS, the data collector is used to collect soil data and transmit it to the data processing module, and the computer and embedded system are used to run the data acquisition module, the data processing module, and store and manage data.

[0013] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention can accurately reflect the slight changes in soil moisture by adopting the Decagon EC-5 soil moisture sensor and considering the differences in soil characteristics. At the same time, by using a unit reflecting the current basic soil moisture status, a unit further reflecting the current actual soil moisture status, and a closed-loop system formed by a unit realizing a dynamic feedback influence of soil moisture, the present invention can realize accurate calculation and dynamic adjustment of soil moisture and improve detection accuracy.

[0014] Second, the present invention introduces a cycle to affect the humidity value JS ’ As a substitute for the current soil moisture content HS in the next round, it realizes the dynamic monitoring and adaptive adjustment of soil moisture. When the soil moisture changes, the system can update the cycle-affecting humidity value JS in real time. ’ , and according to the cycle affects the humidity value JS ’ Adjust irrigation strategies to ensure crops receive the right amount of water.

[0015] 3. The present invention monitors soil conditions in real time and updates the water retention coefficient B in a timely manner, thereby not only improving the accuracy and reliability of soil moisture detection, but also reflecting the actual changes in soil moisture. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A method flow chart of the automatic detection method of soil moisture for agricultural use; Figure 2 This is a schematic diagram of updating the water retention coefficient B in the automatic detection method of soil moisture for agricultural use; Figure 3 It is a structural schematic diagram of the data processing module of the present invention. DETAILED DESCRIPTION

[0017] 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.

[0018] The present agricultural soil moisture automatic detection method is different from the existing agricultural soil moisture automatic detection method. The existing agricultural soil moisture automatic detection method uses sensors with limited accuracy and lacks a dynamic adjustment mechanism. In addition, the dynamic changes of the key parameter of soil moisture retention are not considered when calculating soil moisture. The present algorithm unit, based on the calculation of the basic moisture value of the soil, adjusts and updates the moisture retention capacity based on the basic moisture value and the current humidity value, and then introduces the humidity change to calculate a comprehensive humidity value, which will be used as a substitute for the next round of soil basic moisture value, thereby realizing dynamic monitoring and adaptive adjustment of soil moisture.

[0019] For example, see Figures 1 to 3 This embodiment provides an automatic detection method for agricultural soil moisture, and the specific implementation steps are as follows: Step S1: using a data acquisition module to collect detection data related to current soil moisture; Step S2: Based on the current soil moisture content HS and the previous soil moisture content HS old , and update the output of the water retention coefficient B using the data processing module; Step S3: Based on the moisture retention coefficient B and the detection data, the basic humidity value JS, the adjusted humidity value TS and the cycle-affected humidity value JS are calculated and output in sequence. ’ ; Step S4: Cycle the humidity value JS ’ As the circulating data of automatic detection, a new round of detection and calculation is carried out; The data processing module includes a unit for reflecting the current basic soil moisture status, a unit for further reflecting the current actual soil moisture status, and a unit for realizing the dynamic feedback influence of soil moisture; The equipment used in the data acquisition module includes Decagon EC-5 soil moisture sensor and data collector; The equipment used in the data processing module includes computers and embedded systems; The soil moisture sensor is used to measure the soil matrix moisture content JZ and the current soil moisture content HS, the data collector is used to collect soil data and transmit it to the data processing module, and the computer and embedded system are used to run the data acquisition module, the data processing module, and store and manage data.

[0020] Decagon EC-5 soil moisture sensor adopts the frequency domain reflection principle, which reflects the soil moisture content by measuring the change of soil dielectric constant. This principle has the characteristics of wide measurement range and high accuracy. The internal structure of the sensor is stable and can be calibrated on-site as needed, so as to more accurately measure the soil matrix moisture content JZ and the current soil moisture content HS.

[0021] In this embodiment, the system combines JS, TS and JS through the cooperation of three algorithm units. ’ The three calculation results, through complex calculations and precise adjustments, together constitute the core calculation system of the soil moisture automatic detection system. JS is the basic humidity value, which reflects the water holding capacity of the soil itself and the humidity condition in the current state, and provides benchmark data for subsequent algorithm units. TS is the adjusted humidity value, which compares the difference between the basic humidity value JS and the current soil moisture content HS, and introduces the moisture retention coefficient B, so that this algorithm unit can calculate a humidity value that is closer to the actual value. JS ’ To cyclically affect the humidity value, this value introduces the change of soil humidity and the soil's ability to retain moisture, and JS ’ The calculation results can also iteratively replace the next round of JS, which in turn affects the feedback to the next round of TS and JS. ’ The calculation makes the three algorithms of this system together form a closed-loop system, realizing accurate, dynamic and continuous monitoring of soil moisture.

[0022] See also Figures 1 to 3 , the calculation formula of moisture retention coefficient B is as follows: B=HS / HS old ; The water retention coefficient B reflects the ability of the soil to retain water; HS is the current soil moisture content; HS old is the soil moisture content in the previous round; The calculation formula reflecting the current soil basic moisture status unit is as follows: JS=(JZ+HS×B) / (M+B×S 0.5 ); in: JS is the basic humidity value; JZ is the soil matrix water content; M is the soil surface area; S is the soil depth; The soil surface area M and soil depth S reflect the soil area and depth currently being automatically detected; (JZ+HS×B) reflects the natural moisture basis of the soil when it is not disturbed by the outside world; (M+B×S 0.5 ) is used to adjust the calculation of the basic moisture value JS, introducing the influence of soil surface area M and soil depth S on soil moisture to reflect the soil's ability to retain moisture.

[0023] In this embodiment: First, in the calculation part of the algorithm unit "(JZ+HS×B)", JZ is the soil matrix moisture content, which is the inherent moisture content of the soil itself, and it reflects the natural humidity state of the soil when it is not disturbed by the outside world. HS is the current soil moisture content, which is the actual amount of moisture contained in the soil at present, and it changes with time and environmental conditions. The moisture retention coefficient B represents the ability of the soil to retain moisture. When the value of the moisture retention coefficient B is large, it means that the soil has a strong ability to retain moisture, otherwise, it is weak. This calculation part adds the soil matrix moisture content JZ and the current soil moisture content HS after adjusting the moisture retention coefficient B, and obtains the natural humidity base value of the soil when it is not disturbed by the outside world, taking into account the soil's ability to retain moisture. This value provides a benchmark for subsequent calculations; “(M+B×S 0.5 )”, M is the soil surface area, which determines the contact area between the soil and the external environment, and thus affects the evaporation and infiltration of soil moisture. The soil depth S reflects the potential space for soil moisture storage. This calculation part adds the square root of the soil surface area M and the soil depth S after adjustment by the moisture retention coefficient B. The obtained value is used as the denominator to adjust the calculation of the basic humidity value JS. The weighted processing of the moisture retention coefficient B reflects the influence of the soil surface area and depth on the soil moisture, as well as the contribution of the soil moisture retention capacity to the humidity adjustment. Among them, this algorithm unit reflects the water holding capacity of the soil itself through the soil matrix moisture content JZ, and the current soil moisture content HS directly reflects the current wetness of the soil. Combining the soil matrix moisture content JZ and the current soil moisture content HS, the basic humidity value JS can more comprehensively evaluate the moisture status of the soil. The moisture retention coefficient B describes the ability of the soil to retain moisture and is a key parameter in the calculation of the basic humidity value JS. The introduction of the moisture retention coefficient B enables the basic humidity value JS to more accurately reflect the moisture changes of the soil under different conditions. The soil surface area M and the soil depth S jointly determine the current volume and surface area of ​​the soil detection, thereby affecting the moisture distribution of the soil. By considering these two parameters, the basic humidity value JS can more accurately reflect the moisture status of the soil at different depths and areas; The calculation result of the basic humidity value JS provides basic data for the subsequent units that further reflect the actual status of the current soil humidity and realize the dynamic feedback influence unit of soil humidity. Through the precise calculation of the basic humidity value JS, the subsequent formula can more accurately evaluate the changes in soil humidity and make dynamic adjustments accordingly.

[0024] See also Figures 1 to 3 , the calculation formula for the unit that further reflects the actual status of the current soil moisture is as follows: ; in: TS is the adjusted humidity value; (1+JS-HS) calculates the difference between the basic humidity value JS and the current soil moisture content HS; The weighted ratio of the water retention coefficient B to the basic humidity value JS and the soil matrix moisture content JZ is calculated to reflect the influence of the soil's water retention capacity on humidity adjustment; HS / (M+B) is used as a subtraction item of the adjusted humidity value TS to reflect the impact of soil surface area M and water retention capacity on the current soil humidity.

[0025] In this embodiment, first, "The calculation part first calculates the difference between the basic humidity value JS and the current soil moisture content HS, and then adjusts the difference by weighted processing of the moisture retention coefficient B and the soil matrix moisture content JZ. This calculation part reflects the adjustment of soil moisture on the basic value basic humidity value JS. By considering the difference between the soil basic humidity value JS and the current humidity current soil moisture content HS, as well as the influence of the moisture retention coefficient B and the soil matrix moisture content JZ on the humidity adjustment, a more accurate adjusted humidity value TS is obtained. This value takes into account the dynamic changes of soil moisture and the influence of soil characteristics, among which," "The calculation part calculates the weighted ratio of the water retention coefficient B to JZ and the basic humidity value JS, which reflects the influence of the soil's water retention capacity on the humidity adjustment. As an adjustment factor, this part is used to further adjust the calculation of the difference between the basic humidity value JS and the current soil moisture content HS. Through the weighted processing of the water retention coefficient B, the contribution of the soil's water retention capacity to the humidity adjustment is taken into account, making the adjusted humidity value TS more in line with the actual situation; The calculation part of "HS / (M+B)" divides the current soil moisture content HS after adjustment by the soil surface area M and the water retention coefficient B, and the obtained value is used as the subtraction item of the adjusted humidity value TS, which reflects the influence of the soil surface area M and the water retention coefficient B on the current soil humidity. By adjusting the value of the current soil moisture content HS, an adjusted humidity value TS that is more in line with the actual situation is obtained. This value takes into account the contribution of the soil surface area and the water retention capacity to the humidity adjustment, making the adjusted humidity value TS more accurate; This algorithm unit uses the basic humidity value JS as the basis for calculating the adjusted humidity value TS, reflecting the natural humidity state of the soil when it is not disturbed by the outside world, and by comparing the basic humidity value JS with the current soil moisture content HS, the adjusted humidity value TS can more accurately evaluate the change in soil moisture. Specifically, the current soil moisture content HS directly reflects the current wetness of the soil, and the difference with the basic humidity value JS reflects the change in soil moisture. This change is used to calculate the adjusted humidity value TS, thereby achieving dynamic adaptation to changes in soil moisture. The introduction of the moisture retention coefficient B makes the calculation of the adjusted humidity value TS more accurate. The moisture retention coefficient B describes the ability of the soil to retain moisture, which directly affects the change in soil moisture. By considering the moisture retention coefficient B, the adjusted humidity value TS can more accurately reflect the change in soil moisture under different conditions. By calculating the adjusted humidity value TS, the irrigation demand of the soil can be accurately judged. When the adjusted humidity value TS is low, it indicates that the soil needs irrigation. When the adjusted humidity value TS is high, it indicates that the soil moisture is moderate and no irrigation is required. The calculation result of the adjusted humidity value TS provides key data for the subsequent realization of the soil moisture dynamic feedback influence unit. By accurately calculating the adjusted humidity value TS, the soil moisture dynamic feedback influence unit can more accurately evaluate the comprehensive condition of soil moisture, providing a basis for formulating more reasonable irrigation strategies.

[0026] See also Figures 1 to 3 , the calculation formula for realizing the soil moisture dynamic feedback influence unit is as follows: ; in: JS ’ To cycle the humidity value; It reflects the effect of soil surface area M, soil depth S and water retention coefficient B on humidity cycle.

[0027] In this embodiment, the algorithm unit firstly "Calculation part, this calculation part first calculates the absolute value of the difference between the adjusted humidity value TS and the current soil moisture content HS, and then adjusts this difference through weighted processing of soil surface area M, soil depth S and water retention coefficient B, reflecting the comprehensive impact of the adjusted humidity value TS after considering the change in soil moisture. By considering the change in soil moisture, that is, the change in the adjusted humidity value TS-current soil moisture content HS, as well as the role of soil surface area M, soil depth S and water retention coefficient B on the humidity cycle, a cyclic impact humidity value JS is obtained. ’ This value will be used as a reference for the next basic humidity calculation, realizing dynamic and adaptive monitoring of soil moisture, among which, " The calculation part calculates the sum of the square root of the soil surface area M and the soil depth S and the water retention coefficient B. The obtained value is used as the denominator to adjust the calculation of the difference between TS and the current soil moisture content HS. By adjusting the value of the denominator, the cycle affects the humidity value JS ’ More precise and comprehensive; “ The calculation part first calculates the weighted ratio of the water retention coefficient B to the soil matrix moisture content JZ, and adjusts the TS value accordingly. Then, the adjusted TS value is multiplied by the ratio of the soil matrix moisture content JS to the current soil moisture content HS. This calculation part is used as the cycle influence humidity value JS ’ The addition of the term further considers the effect of water retention coefficient B and substrate moisture content JZ on humidity cycle, as well as the proportional relationship between the basic humidity value JS and the current soil moisture content HS. Through complex calculations and precise adjustments, a more accurate and comprehensive cycle-affecting humidity value JS is obtained. ’ ; The cycle in this algorithm unit affects the humidity value JS ’ The calculation results can be associated and cyclically affect the next basic humidity value JS calculation, thereby realizing the cyclic monitoring and dynamic adjustment of soil moisture, and the humidity value JS is affected by continuous iterative calculation cycles. ’ and the basic humidity value JS, the system can continuously track the changes in soil moisture and make dynamic adjustments accordingly; Influencing humidity value by introducing loop JS ’ , the entire humidity detection system can more flexibly respond to changes in soil humidity, cyclically affecting the humidity value JS ’ It comprehensively reflects the historical changes and current status of soil moisture, providing more comprehensive information support for the system, which enables the system to more accurately determine the changing trend of soil moisture and make flexible adjustments accordingly; In summary, the combination of the beneficial effects of the unit reflecting the current basic soil moisture status, the unit further reflecting the current actual soil moisture status, and the unit realizing the dynamic feedback influence of soil moisture and their respective calculation parameters makes the entire humidity detection system more accurate, flexible and efficient. These formulas together constitute a closed-loop system, which realizes the cyclic monitoring and dynamic adjustment of soil moisture, and provides strong technical support for agricultural production.

[0028] For example 2, please refer to Figures 1 to 3 , based on the cycle affecting the humidity value JS ’ The automatic detection steps are as follows: S1, the cycle influence humidity value JS of the current calculation output ’ , as the result value basic moisture value JS in the current soil basic moisture state unit in the next round, for iterative replacement; S2, detecting the current soil moisture content HS; S3, compare the current soil moisture content HS with the previous soil moisture content HS old Automatic comparison If the current soil moisture content HS is equal to the previous soil moisture content HS old The value of is the same, then the humidity value JS will be affected cyclically ’ , water retention coefficient B and the last round of soil moisture HS old The input is sequentially input into the unit that further reflects the actual status of the current soil moisture and the unit that realizes the dynamic feedback influence of soil moisture, and the automatic detection output is performed; If the current soil moisture content HS is equal to the previous soil moisture content HS old If the value is inconsistent, the calculation formula of moisture retention coefficient B is used to calculate and output the new moisture retention coefficient B, and the cycle affects the humidity value JS ’ , the new water retention coefficient B and the current soil moisture content HS are successively input into the unit that further reflects the current actual condition of soil moisture and the unit that realizes the dynamic feedback influence of soil moisture for automatic detection and output.

[0029] In this embodiment, it should be firstly clarified that the soil surface area M and soil depth S will not change easily in the same piece of soil, and because the soil surface area and soil depth are the basic physical properties of the soil, they usually will not change significantly due to the change of soil moisture. Therefore, in the continuous calculation cycle, these two parameters are constant, and in the next calculation, the cycle affects the moisture value JS ’ Directly replace the basic humidity value JS of the unit that reflects the current basic soil humidity status. This actually affects the humidity value JS of the cycle. ’ A simplified understanding of the role of the cycle affects the humidity value JS ’ It combines multiple factors and reflects the current state and change trend of soil moisture. Therefore, it is regarded as an updated and more accurate soil moisture baseline value. At the beginning of the next calculation cycle, this updated value is used as the starting point, making the system more dynamic and adaptive. In addition, because the moisture retention coefficient B represents the ability of the soil to retain moisture, it will change with the change of soil moisture. Therefore, in each calculation cycle, the estimated value of the moisture retention coefficient B needs to be updated according to the current soil moisture state; Specifically, the humidity value JS is affected by the cycle ’ As a substitute for the next basic humidity value JS, the entire humidity detection system can realize continuous monitoring and accurate calculation of soil humidity, which avoids the discontinuity and inaccuracy problems in traditional detection methods, and the cyclic effect on humidity value JS. ’The calculation takes into account the change of soil moisture and the ability of soil to retain moisture, providing a basis for formulating a more scientific and reasonable soil moisture management strategy. ’ It is calculated based on the current soil moisture state, so it can reflect the changes in soil moisture in real time and will affect the humidity value JS cyclically ’ As a substitute for the next basic humidity value JS, the system can more dynamically monitor the changes in soil moisture and adjust the irrigation or drainage strategy in time to meet the needs of crop growth. The system affects the humidity value JS through continuous updating cycle. ’ As the starting point for the next calculation, it can gradually adapt to the soil moisture monitoring needs under different soil types, different climatic conditions and different crop growth cycles. This adaptability enables the system to maintain stable monitoring performance in various complex environments.

[0030] The water retention coefficient B represents the ability of soil to retain water. It changes with the change of soil moisture and is an important indicator reflecting the soil moisture status. By continuously updating the estimated value of the water retention coefficient B, the soil's water retention capacity can be understood more accurately. According to the updated water retention coefficient B value, the system can more accurately calculate the amount of water replenishment required by the soil, thereby optimizing the irrigation strategy. This can not only avoid the waste of water resources caused by excessive irrigation, but also reduce the adverse effects on crop growth caused by insufficient irrigation. Since the water retention coefficient B value will change with the change of soil moisture, timely updating the estimated value of the water retention coefficient B makes the system more adaptable to the soil moisture monitoring needs under various complex environments. This adaptability improves the robustness of the system, enabling the system to maintain stable monitoring performance under various conditions; In summary, the cycle affects the humidity value JS ’ As a replacement for the next basic humidity value JS and an update of the moisture retention coefficient B, they are both key links in achieving high-precision, dynamic and adaptive monitoring in the soil moisture automatic detection system. They provide strong technical support and guarantee for agricultural production by improving monitoring accuracy, enhancing system dynamics, improving system adaptability and optimizing irrigation strategies.

[0031] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for automatically detecting soil moisture for agricultural use, characterized in that: The specific implementation steps are as follows: Step S1: using a data acquisition module to collect detection data related to current soil moisture; Step S2: Based on the current soil moisture content HS and the previous soil moisture content HS old , and update the output of the water retention coefficient B using the data processing module; Step S3: Based on the moisture retention coefficient B and the detection data, the basic humidity value JS, the adjusted humidity value TS and the cycle-affected humidity value JS are calculated and output in sequence. ’ ; Step S4: Cycle the humidity value JS ’ As the circulating data of automatic detection, a new round of detection and calculation is carried out; The data processing module includes a unit for reflecting the current basic soil moisture status, a unit for further reflecting the current actual soil moisture status, and a unit for realizing the dynamic feedback influence of soil moisture.

2. The method for automatic detection of agricultural soil moisture according to claim 1, characterized in that: The equipment used in the data acquisition module includes Decagon EC-5 soil moisture sensor and data collector; The equipment used by the data processing module includes computers and embedded systems.

3. The method for automatic detection of agricultural soil moisture according to claim 2, characterized in that: The calculation formula of the moisture retention coefficient B is as follows: B=HS / HS old ; The water retention coefficient B reflects the ability of the soil to retain water; HS is the current soil moisture content; HS old It is the soil moisture content in the previous round.

4. The method for automatically detecting agricultural soil moisture according to claim 3, characterized in that: The calculation formula for the unit reflecting the current soil basic moisture status is as follows: JS=(JZ+HS×B) / (M+B×S 0.5 ); in: JS is the basic humidity value; JZ is the soil matrix water content; M is the soil surface area; S is the soil depth; The soil surface area M and soil depth S reflect the soil area and depth currently being automatically detected; (JZ+HS×B) reflects the natural moisture basis of the soil when it is not disturbed by the outside world; (M+B×S 0.5 ) is used to adjust the calculation of the basic moisture value JS, introducing the influence of soil surface area M and soil depth S on soil moisture to reflect the soil's ability to retain moisture.

5. The method for automatically detecting agricultural soil moisture according to claim 4, characterized in that: The calculation formula for the unit that further reflects the actual condition of the current soil moisture is as follows: ； in: TS is the adjusted humidity value; (1+JS-HS) calculates the difference between the basic humidity value JS and the current soil moisture content HS; The weighted ratio of the water retention coefficient B to the basic humidity value JS and the soil matrix moisture content JZ is calculated to reflect the influence of the soil's water retention capacity on humidity adjustment; HS / (M+B) is used as a subtraction item of the adjusted humidity value TS to reflect the impact of soil surface area M and water retention capacity on the current soil humidity.

6. The method for automatic detection of agricultural soil moisture according to claim 5, characterized in that: The calculation formula for realizing the soil moisture dynamic feedback influence unit is as follows: ； in: JS ’ To cycle the humidity value; It reflects the effect of soil surface area M, soil depth S and water retention coefficient B on humidity cycle.

7. The method for automatically detecting agricultural soil moisture according to claim 6, characterized in that: The cycle affects the humidity value based on JS ’ The automatic detection steps are as follows: S1, the cycle influence humidity value JS of the current calculation output ’ , as the result value basic humidity value JS in the unit reflecting the current soil basic humidity status in the next round, iteratively replaced; S2, detecting the current soil moisture content HS; S3, compare the current soil moisture content HS with the previous soil moisture content HS old Automatic comparison If the current soil moisture content HS is equal to the previous soil moisture content HS old The value of is the same, then the humidity value JS will be affected cyclically ’ , water retention coefficient B and the last round of soil moisture HS old The data are sequentially input into the unit for further reflecting the actual current soil moisture status and the unit for realizing the dynamic feedback influence of soil moisture, and automatically detected and outputted; If the current soil moisture content HS is equal to the previous soil moisture content HS old If the value is inconsistent, the calculation formula of the moisture retention coefficient B is used to calculate and output a new moisture retention coefficient B, and the cycle affects the humidity value JS ’ , the new moisture retention coefficient B and the current soil moisture content HS are sequentially input into the unit for further reflecting the current actual condition of soil moisture and the unit for realizing dynamic feedback influence of soil moisture for automatic detection and output.

8. The method for automatically detecting agricultural soil moisture according to claim 2, characterized in that: The soil moisture sensor is used to measure the soil matrix moisture content JZ and the current soil moisture content HS, the data collector is used to collect soil data and transmit it to the data processing module, and the computer and embedded system are used to run the data acquisition module, the data processing module, and store and manage data.

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