Agricultural cultivation modeling management method and system based on image analysis

Abstract

The invention relates to the technical field of image analysis, and discloses an agricultural cultivation modeling management method and system based on image analysis. Comprising a crop growth image data acquisition module, a crop growth state quantitative judgment module, an adjusted crop growth soil analysis module, an adjusted crop growth prediction module, a crop cultivation modeling judgment module and a judgment result output early warning module. The method comprises the following steps: acquiring a soil nutrient amount of a monitored area and growth parameters of planted crops, judging a growth state of the crops, calculating a soil fertilization amount, sending a crop soil parameter adjustment instruction, performing nutrient quantification on the soil parameters to obtain an adjusted soil nutrient quantification coefficient, and performing growth prediction on the crops. A crop cultivation judgment model based on soil parameter adjustment is established to judge the adjustment effect, and the long-term productivity of soil is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of image analysis, and more specifically to an agricultural farming modeling management method and system based on image analysis. Background Art

[0002] As the global population grows, the demand for food continues to increase, and agricultural production faces the challenge of increasing output and efficiency. At the same time, climate change has led to increased uncertainty in the agricultural production environment. The frequent occurrence of extreme weather events such as droughts and floods has had a serious impact on agricultural production. In the agricultural production process, problems such as soil quality decline and water shortage are becoming increasingly prominent. More scientific farming management methods are needed to protect the agricultural environment and improve resource utilization efficiency. The rapid development of computer technology has made agricultural farming modeling possible. The application of remote sensing technology, Internet of Things technology, etc. in agriculture has provided convenience for real-time acquisition of farmland information, making agricultural farming modeling more accurate and real-time.

[0003] However, traditional agricultural farming modeling and management methods use limited bands through ordinary image analysis and have difficulty detecting subtle biochemical changes. They cannot provide sufficient spectral resolution, resulting in weak ability to detect early growth abnormalities. They cannot provide refined nutritional diagnosis, resulting in inaccurate fertilization. Field trials require long-term observation, are costly and are affected by uncontrollable factors. There is a lack of prediction models based on parameter adjustment to predict the growth trends of crops, which affects the timeliness of the prediction. Summary of the invention

[0004] In order to overcome the above-mentioned defects of the prior art, the present invention provides an agricultural farming modeling management system based on image analysis to solve the problems existing in the above-mentioned background technology.

[0005] The present invention provides the following technical solution: an agricultural cultivation modeling management system based on image analysis, comprising: a crop growth image data acquisition module, a crop growth state quantitative judgment module, a regulated crop growth soil analysis module, a regulated crop growth prediction module, a crop cultivation modeling judgment module, and a judgment result output warning module; The crop growth image data acquisition module includes a soil nutrient determination unit and a multispectral image acquisition unit, which are used to obtain the soil nutrient content and growth parameters of the planted crops in the monitoring area; The crop growth state quantification judgment module includes a crop growth state quantification unit and a soil nutrient quantification unit, and issues a crop soil parameter adjustment instruction based on the quantification result; The adjusted crop growth soil analysis module performs nutrient quantification on soil parameters based on the adjusted crop soil parameters to obtain an adjusted soil nutrient quantification coefficient; The adjusted crop growth prediction module predicts the growth of crops based on the adjusted soil nutrient quantitative coefficient obtained by the adjusted crop growth soil analysis module to obtain the adjusted crop growth quantitative coefficient; The crop cultivation modeling and judgment module establishes a crop cultivation judgment model based on soil parameter adjustment, judges whether the adjustment effect meets the adjustment threshold, and transmits the judgment result to the judgment result output warning module; The judgment result output warning module sends warning information to the human-computer interaction terminal based on the received judgment result.

[0006] Preferably, in the crop growth image data acquisition module, the soil nutrient determination unit uses a soil nutrient tester to determine the soil nutrient of the monitoring area: the monitoring area is divided into n monitoring sub-areas according to the principle of equal area, i=1, 2, 3, ..., n, where i represents the area number of the monitoring sub-area, and the soil nutrient content of each monitoring sub-area is obtained using the soil nutrient tester. and calculate the soil nutrient content of each monitoring sub-area Transmitted to the quantitative judgment module of crop growth status; The multispectral image acquisition unit uses a multispectral camera to collect crop images in each monitoring sub-area, obtains the reflection information of the crops in each monitoring sub-area in a fixed spectral band, extracts the growth parameters of the planted crops, and transmits them to the crop growth status quantitative judgment module. The parameters are the spectral reflectance of the crop images in each monitoring sub-area in a fixed spectral band.

[0007] Preferably, the specific content of the crop soil parameter adjustment instruction issued by the crop growth status quantitative judgment module based on the quantitative result is as follows: The crop growth status quantification unit receives the soil nutrient content of each monitoring sub-area transmitted by the soil nutrient measurement unit , and calculate the quantitative coefficient of crop growth in each monitoring sub-area based on the growth parameters of the planted crops transmitted by the multispectral image acquisition unit, and make a quantitative judgment on the growth status of the crops; The calculation formula for the quantitative coefficient of crop growth in each monitoring sub-area is: ,in represents the quantitative coefficient of crop growth in each monitoring sub-area, represents the spectral reflectance of the crop image in each monitoring sub-area in a fixed spectral band, represents the average spectral reflectance of the crop images in each monitoring sub-area in a fixed spectral band, Represents the soil nutrient content of each monitoring sub-area, It represents the average soil nutrient content of each monitoring sub-area; The crop growth quantification coefficient of each monitoring sub-area is compared with the preset crop growth quantification threshold. If the crop growth quantification coefficient is greater than or equal to the preset crop growth quantification threshold, the crop growth is judged to be normal; otherwise, the crop growth is judged to be abnormal.

[0008] Preferably, the specific content of issuing the crop soil parameter adjustment instruction based on the quantification result is as follows: The soil nutrient quantification unit performs soil nutrient quantification analysis on the monitoring sub-area when the crop growth status quantification unit determines that it is abnormal, and calculates the soil fertilization amount of each monitoring sub-area; The calculation formula for soil fertilization amount in each monitoring sub-area is: ,in Indicates the amount of soil fertilizer applied in each monitoring sub-area, Indicates the amount of nutrients that crops in each monitoring sub-area need to absorb. Indicates the amount of soil fertilizer supplied in each monitoring sub-area, Indicates the fertilizer nutrient content of each monitoring sub-area, It indicates the fertilizer utilization coefficient in the season; When the crop growth status quantification unit determines that it is abnormal, it issues a crop soil parameter adjustment instruction, and uses the soil fertilizer amount as a fertilization target to adjust the soil parameters of the abnormal area.

[0009] Preferably, in the adjusted crop growth soil analysis module, the soil parameters are quantified based on the adjusted crop soil parameters to obtain the specific content of the adjusted soil nutrient quantification coefficient as follows: Use the soil nutrient tester to obtain the soil nutrient content of each monitoring sub-area after adjusting the soil parameters , the correction factor of soil nutrients is calculated based on the preset soil nutrient quantitative safety threshold, and the calculation formula is: ,in It represents the correction factor of soil nutrients after soil parameters are adjusted in each monitoring sub-area. Indicates the preset soil nutrient quantitative safety threshold; The calculation formula of soil nutrient quantification coefficient after soil parameter adjustment in each monitoring sub-area is: ,in It represents the soil nutrient quantification coefficient after soil parameter adjustment in each monitoring sub-area. Indicates the critical value of crop demand in each monitoring sub-area.

[0010] Preferably, in the adjusted crop growth prediction module, the calculation formula for performing growth prediction on crops to obtain the adjusted crop growth quantitative coefficient is: ,in represents the quantitative coefficient of crop growth after adjustment, It represents the soil nutrient quantification coefficient after soil parameter adjustment in each monitoring sub-area. It indicates the amount of soil nutrients in each monitoring sub-area after soil parameters are adjusted. It represents the average soil nutrient content after soil parameter adjustment in each monitoring sub-area.

[0011] Preferably, in the crop cultivation modeling judgment module, a crop cultivation judgment model based on soil parameter adjustment is established, and the specific contents of judging whether the adjustment effect meets the adjustment threshold are as follows: A crop cultivation judgment model based on soil parameter adjustment is established, and the expression of the model is: ,in It represents the evaluation value of the adjustment effect based on soil parameter adjustment. represents the quantitative coefficient of crop growth in each monitoring sub-area, It represents the quantitative coefficient of crop growth after adjustment; The adjustment effect evaluation value based on soil parameter adjustment is compared with the adjustment threshold: if the adjustment effect evaluation value based on soil parameter adjustment is greater than or equal to the adjustment threshold, the adjustment success rate is judged to be high; otherwise, the adjustment success rate is judged to be low.

[0012] Preferably, the judgment result output warning module receives the judgment result of the crop cultivation modeling judgment module, and sends a warning message to the human-computer interaction terminal when the judgment result is that the adjustment success rate is low.

[0013] An agricultural farming modeling management method based on image analysis comprises the following steps: Step S01: Obtaining soil nutrients and growth parameters of crops in the monitoring area; Step S02: judging the growth status of crops, calculating the amount of soil fertilizer to be applied, and issuing crop soil parameter adjustment instructions; Step S03: quantifying the nutrients of the soil parameters based on the adjusted crop soil parameters to obtain an adjusted soil nutrient quantification coefficient; Step S04: predicting the growth of crops to obtain quantitative growth coefficients of crops after adjustment; Step S05: establishing a crop cultivation judgment model based on soil parameter adjustment to determine whether the adjustment effect meets the adjustment threshold; Step S06: Sending warning information to the human-computer interaction terminal based on the judgment result.

[0014] Technical effects and advantages of the present invention: The present invention is provided with a crop growth image data acquisition module, a crop growth state quantitative judgment module, a post-adjustment crop growth soil analysis module, a post-adjustment crop growth prediction module, a crop cultivation modeling judgment module, and a judgment result output warning module, so as to obtain the soil nutrient content and growth parameters of the planted crops in the monitoring area, judge the crop growth state, calculate the soil fertilization amount and issue a crop soil parameter adjustment instruction. Traditional uniform fertilization is prone to cause excessive or insufficient fertilization in some areas, while variable fertilization based on soil crop data can accurately match the demand and improve resource utilization. The soil parameters are quantified to obtain the adjusted soil nutrient quantification coefficient, and the growth of crops is predicted. A crop cultivation judgment model based on soil parameter adjustment is established to judge the adjustment effect, which improves the long-term productivity of the soil and can significantly improve the accuracy of agricultural management and environmental sustainability. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a structural diagram of an agricultural farming modeling management system based on image analysis.

[0016] Figure 2 A flowchart of an agricultural farming modeling management method based on image analysis. DETAILED DESCRIPTION

[0017] The technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. In addition, the forms of the various structures recorded in the following embodiments are merely illustrative. The agricultural farming modeling management method and system based on image analysis involved in the present invention is not limited to the various structures recorded in the following embodiments. All other implementations obtained by ordinary technicians in this field without making creative work belong to the scope of protection of the present invention.

[0018] like Figure 1 As shown, the present invention provides an agricultural cultivation modeling management system based on image analysis, including: a crop growth image data acquisition module, a crop growth state quantitative judgment module, a regulated crop growth soil analysis module, a regulated crop growth prediction module, a crop cultivation modeling judgment module, and a judgment result output warning module; The crop growth image data acquisition module includes a soil nutrient determination unit and a multispectral image acquisition unit, which are used to obtain the soil nutrient content and growth parameters of the planted crops in the monitoring area; The crop growth state quantification judgment module includes a crop growth state quantification unit and a soil nutrient quantification unit, and issues a crop soil parameter adjustment instruction based on the quantification result; The adjusted crop growth soil analysis module performs nutrient quantification on soil parameters based on the adjusted crop soil parameters to obtain an adjusted soil nutrient quantification coefficient; The adjusted crop growth prediction module predicts the growth of crops based on the adjusted soil nutrient quantitative coefficient obtained by the adjusted crop growth soil analysis module to obtain the adjusted crop growth quantitative coefficient; The crop cultivation modeling and judgment module establishes a crop cultivation judgment model based on soil parameter adjustment, judges whether the adjustment effect meets the adjustment threshold, and transmits the judgment result to the judgment result output warning module; The judgment result output warning module sends warning information to the human-computer interaction terminal based on the received judgment result.

[0019] In this embodiment, it should be specifically explained that in the crop growth image data acquisition module, the soil nutrient determination unit uses a soil nutrient tester to determine the soil nutrient of the monitoring area: the monitoring area is divided into n monitoring sub-areas according to the principle of equal area, i=1, 2, 3, ..., n, where i represents the area number of the monitoring sub-area, n represents the total amount of the monitoring sub-area, and the soil nutrient amount of each monitoring sub-area is obtained using the soil nutrient tester. and calculate the soil nutrient content of each monitoring sub-area Transmitted to the quantitative judgment module of crop growth status; The multispectral image acquisition unit uses a multispectral camera to collect crop images in each monitoring sub-area, obtains the reflection information of the crops in each monitoring sub-area in a fixed spectral band, extracts the growth parameters of the planted crops, and transmits them to the crop growth status quantitative judgment module. The parameters are the spectral reflectance of the crop images in each monitoring sub-area in a fixed spectral band.

[0020] In this embodiment, it should be specifically explained that the specific content of the crop soil parameter adjustment instruction issued by the crop growth state quantitative judgment module based on the quantification result is as follows: The crop growth status quantification unit receives the soil nutrient content of each monitoring sub-area transmitted by the soil nutrient measurement unit , and calculate the quantitative coefficient of crop growth in each monitoring sub-area based on the growth parameters of the planted crops transmitted by the multispectral image acquisition unit, and make a quantitative judgment on the growth status of the crops; The calculation formula for the quantitative coefficient of crop growth in each monitoring sub-area is: ,in represents the quantitative coefficient of crop growth in each monitoring sub-area, represents the spectral reflectance of the crop image in each monitoring sub-area in a fixed spectral band, represents the average spectral reflectance of the crop images in each monitoring sub-area in a fixed spectral band, Represents the soil nutrient content of each monitoring sub-area, Represents the average soil nutrient content of each monitoring sub-area, where the crop growth quantification coefficient of each monitoring sub-area It represents the correlation between the spectral reflectance of crop images in each monitoring sub-area in a fixed spectral band and the soil nutrient content in each monitoring sub-area, which is used to evaluate the growth of crops; The spectral reflectances of crop images in each monitoring sub-area in fixed spectral bands are 0.42, 0.38, 0.36, 0.44, and 0.48, respectively. The average spectral reflectance of crop images in each monitoring sub-area in fixed spectral bands is ; The soil nutrient content of each monitoring sub-area indicates that the soil nitrogen content is 80mg / kg, 100mg / kg, 120mg / kg, 70mg / kg, and 60mg / kg respectively. The average soil nutrient content of each monitoring sub-area is ; The crop growth quantification coefficient of each monitoring sub-area is compared with the preset crop growth quantification threshold. If the crop growth quantification coefficient is greater than or equal to the preset crop growth quantification threshold, the crop growth is judged to be normal. Conversely, if the crop growth quantification coefficient is less than the preset crop growth quantification threshold, the crop growth is judged to be abnormal.

[0021] In this embodiment, it should be specifically explained that the specific content of the crop soil parameter adjustment instruction issued based on the quantification result is as follows: The soil nutrient quantification unit performs soil nutrient quantification analysis on the monitoring sub-area when the crop growth status quantification unit determines that it is abnormal, and calculates the soil fertilization amount of each monitoring sub-area; The calculation formula for soil fertilization amount in each monitoring sub-area is: ,in Indicates the amount of soil fertilizer applied in each monitoring sub-area, Indicates the amount of nutrients that crops in each monitoring sub-area need to absorb. Indicates the amount of soil fertilizer supplied in each monitoring sub-area, Indicates the fertilizer nutrient content of each monitoring sub-area, It indicates the fertilizer utilization coefficient in the season; The amount of nutrients that crops in each monitoring sub-area need to absorb represents the difference between the soil nutrient amount in each monitoring sub-area and the preset soil nutrient standard value, and the calculation formula is: ,in Indicates the amount of nutrients that crops in each monitoring sub-area need to absorb. Represents the soil nutrient content of each monitoring sub-area, Indicates the preset soil nutrient standard value; When the crop growth status quantification unit determines that it is abnormal, it issues a crop soil parameter adjustment instruction, and uses the soil fertilizer amount as a fertilization target to adjust the soil parameters of the abnormal area.

[0022] In this embodiment, it should be specifically explained that in the adjusted crop growth soil analysis module, the soil parameters are quantified based on the adjusted crop soil parameters to obtain the specific content of the adjusted soil nutrient quantification coefficient as follows: Use the soil nutrient tester to obtain the soil nutrient content of each monitoring sub-area after adjusting the soil parameters , the correction factor of soil nutrients is calculated based on the preset soil nutrient quantitative safety threshold, and the calculation formula is: ,in It represents the correction factor of soil nutrients after soil parameters are adjusted in each monitoring sub-area. Indicates the preset soil nutrient quantitative safety threshold; The calculation formula of soil nutrient quantification coefficient after soil parameter adjustment in each monitoring sub-area is: ,in It represents the soil nutrient quantification coefficient after soil parameter adjustment in each monitoring sub-area. Indicates the critical value of crop demand in each monitoring sub-area. , soil nutrients after soil parameter adjustment When .

[0023] In this embodiment, it should be specifically explained that in the adjusted crop growth prediction module, the calculation formula for performing growth prediction on crops to obtain the adjusted crop growth quantitative coefficient is: ,in represents the quantitative coefficient of crop growth after adjustment, It represents the soil nutrient quantification coefficient after soil parameter adjustment in each monitoring sub-area. It indicates the amount of soil nutrients in each monitoring sub-area after soil parameters are adjusted. It represents the average soil nutrient content after soil parameter adjustment in each monitoring sub-area; The soil nutrient content of each monitoring sub-area after soil parameter adjustment indicates that the soil nitrogen content is 90mg / kg, 110mg / kg, 130mg / kg, 80mg / kg, and 70mg / kg, respectively. The average soil nutrient content of each monitoring sub-area after soil parameter adjustment is ; After adjusting the soil parameters of crops, the changes in crop growth cannot be shown in a short time. Therefore, it is necessary to predict the growth of crops to determine whether the soil parameter adjustment can meet the adjustment threshold. The soil nutrient quantification coefficient after soil parameter adjustment in each monitoring sub-area represents the difference between the soil nutrient content after soil parameter adjustment and the critical value of crop requirement. The smaller the difference, the larger the corresponding soil nutrient quantification coefficient, and the better the growth of crops after adjustment.

[0024] In this embodiment, it should be specifically explained that in the crop cultivation modeling and judgment module, a crop cultivation judgment model based on soil parameter adjustment is established to judge whether the adjustment effect meets the adjustment threshold. The specific contents are as follows: A crop cultivation judgment model based on soil parameter adjustment is established, and the expression of the model is: ,in It represents the evaluation value of the adjustment effect based on soil parameter adjustment. represents the quantitative coefficient of crop growth in each monitoring sub-area, It represents the quantitative coefficient of crop growth after adjustment; The adjustment effect evaluation value based on soil parameter adjustment is compared with the adjustment threshold: if the adjustment effect evaluation value based on soil parameter adjustment is greater than or equal to the adjustment threshold, the adjustment success rate is judged to be high; conversely, if the adjustment effect evaluation value based on soil parameter adjustment is less than the adjustment threshold, the adjustment success rate is judged to be low.

[0025] In this embodiment, it should be specifically explained that the judgment result output warning module receives the judgment result of the crop cultivation modeling judgment module, and sends a warning message to the human-computer interaction terminal when the judgment result is that the adjustment success rate is low.

[0026] like Figure 2 As shown, in this embodiment, it should be specifically explained that an agricultural farming modeling management method based on image analysis includes the following steps: Step S01: Obtaining soil nutrients and growth parameters of crops in the monitoring area; Step S02: judging the growth status of crops, calculating the amount of soil fertilizer to be applied, and issuing crop soil parameter adjustment instructions; Step S03: quantifying the nutrients of the soil parameters based on the adjusted crop soil parameters to obtain an adjusted soil nutrient quantification coefficient; Step S04: predicting the growth of crops to obtain quantitative growth coefficients of crops after adjustment; Step S05: establishing a crop cultivation judgment model based on soil parameter adjustment to determine whether the adjustment effect meets the adjustment threshold; Step S06: Sending warning information to the human-computer interaction terminal based on the judgment result.

[0027] In this embodiment, it should be specifically explained that the difference between this embodiment and the prior art is mainly that this embodiment is provided with a crop growth image data acquisition module, a crop growth state quantitative judgment module, an adjusted crop growth soil analysis module, an adjusted crop growth prediction module, a crop cultivation modeling judgment module and a judgment result output warning module, so as to obtain the soil nutrient content and growth parameters of the planted crops in the monitoring area, judge the crop growth state, calculate the soil fertilization amount and issue a crop soil parameter adjustment instruction. Traditional uniform fertilization is prone to cause excessive or insufficient fertilization in some areas, while variable fertilization based on soil crop data can accurately match the demand and improve resource utilization; The soil parameters are quantified to obtain the adjusted soil nutrient quantification coefficient, and the growth of crops is predicted. A crop cultivation judgment model based on soil parameter adjustment is established to judge the adjustment effect, which improves the long-term productivity of the soil and can significantly improve the accuracy of agricultural management and environmental sustainability.

[0028] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

[0029] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. An agricultural farming modeling management system based on image analysis, characterized in that: include: Crop growth image data acquisition module, crop growth status quantitative judgment module, adjusted crop growth soil analysis module, adjusted crop growth prediction module, crop cultivation modeling judgment module and judgment result output warning module; The crop growth image data acquisition module includes a soil nutrient determination unit and a multispectral image acquisition unit, which are used to obtain the soil nutrient content and growth parameters of the planted crops in the monitoring area; The crop growth state quantification judgment module includes a crop growth state quantification unit and a soil nutrient quantification unit, and issues a crop soil parameter adjustment instruction based on the quantification result; The adjusted crop growth soil analysis module performs nutrient quantification on soil parameters based on the adjusted crop soil parameters to obtain an adjusted soil nutrient quantification coefficient; The adjusted crop growth prediction module predicts the growth of crops based on the adjusted soil nutrient quantitative coefficient obtained by the adjusted crop growth soil analysis module to obtain the adjusted crop growth quantitative coefficient; The crop cultivation modeling and judgment module establishes a crop cultivation judgment model based on soil parameter adjustment, judges whether the adjustment effect meets the adjustment threshold, and transmits the judgment result to the judgment result output warning module; The judgment result output warning module sends warning information to the human-computer interaction terminal based on the received judgment result.

2. The agricultural farming modeling management system based on image analysis according to claim 1, characterized in that: In the crop growth image data acquisition module, the soil nutrient determination unit uses a soil nutrient tester to determine the soil nutrient of the monitoring area: the monitoring area is divided into n monitoring sub-areas according to the principle of equal area, i=1, 2, 3, ..., n, where i represents the area number of the monitoring sub-area, and the soil nutrient content of each monitoring sub-area is obtained by using the soil nutrient tester and calculate the soil nutrient content of each monitoring sub-area Transmitted to the crop growth status quantitative judgment module; The multispectral image acquisition unit uses a multispectral camera to collect crop images in each monitoring sub-area, obtains the reflection information of the crops in each monitoring sub-area in a fixed spectral band, extracts the growth parameters of the planted crops, and transmits them to the crop growth status quantitative judgment module. The parameters are the spectral reflectance of the crop images in each monitoring sub-area in a fixed spectral band.

3. The agricultural farming modeling management system based on image analysis according to claim 1, characterized in that: The specific contents of the crop soil parameter adjustment instructions issued by the crop growth status quantitative judgment module based on the quantitative results are as follows: The crop growth status quantification unit receives the soil nutrient content of each monitoring sub-area transmitted by the soil nutrient measurement unit , and calculate the quantitative coefficient of crop growth in each monitoring sub-area based on the growth parameters of the planted crops transmitted by the multispectral image acquisition unit, and make a quantitative judgment on the growth status of the crops; The calculation formula for the quantitative coefficient of crop growth in each monitoring sub-area is: ,in represents the quantitative coefficient of crop growth in each monitoring sub-area, represents the spectral reflectance of the crop image in each monitoring sub-area in a fixed spectral band, represents the average spectral reflectance of the crop images in each monitoring sub-area in a fixed spectral band, Represents the soil nutrient content of each monitoring sub-area, It represents the average soil nutrient content of each monitoring sub-area; The crop growth quantification coefficient of each monitoring sub-area is compared with the preset crop growth quantification threshold. If the crop growth quantification coefficient is greater than or equal to the preset crop growth quantification threshold, the crop growth is judged to be normal; otherwise, the crop growth is judged to be abnormal.

4. The agricultural farming modeling management system based on image analysis according to claim 3 is characterized by: The specific contents of the crop soil parameter adjustment instructions issued based on the quantification results are as follows: The soil nutrient quantification unit performs soil nutrient quantification analysis on the monitoring sub-area when the crop growth status quantification unit determines that it is abnormal, and calculates the soil fertilization amount of each monitoring sub-area; The calculation formula for soil fertilization amount in each monitoring sub-area is: ,in Indicates the amount of soil fertilizer applied in each monitoring sub-area, Indicates the amount of nutrients that crops in each monitoring sub-area need to absorb. Indicates the amount of soil fertilizer supplied in each monitoring sub-area, Indicates the fertilizer nutrient content of each monitoring sub-area, It indicates the fertilizer utilization coefficient in the season; When the crop growth status quantification unit determines that it is abnormal, it issues a crop soil parameter adjustment instruction, and uses the soil fertilizer amount as a fertilization target to adjust the soil parameters of the abnormal area.

5. The agricultural farming modeling management system based on image analysis according to claim 1, characterized in that: In the adjusted crop growth soil analysis module, the soil parameters are quantified based on the adjusted crop soil parameters to obtain the adjusted soil nutrient quantification coefficient, and the specific content is as follows: Use the soil nutrient tester to obtain the soil nutrient content of each monitoring sub-area after adjusting the soil parameters , the correction factor of soil nutrients is calculated based on the preset soil nutrient quantitative safety threshold, and the calculation formula is: ,in It represents the correction factor of soil nutrients after soil parameters are adjusted in each monitoring sub-area. Indicates the preset soil nutrient quantitative safety threshold; The calculation formula of soil nutrient quantification coefficient after soil parameter adjustment in each monitoring sub-area is: ,in It represents the soil nutrient quantification coefficient after soil parameter adjustment in each monitoring sub-area. Indicates the critical value of crop demand in each monitoring sub-area.

6. The agricultural farming modeling management system based on image analysis according to claim 1, characterized in that: In the adjusted crop growth prediction module, the calculation formula for obtaining the adjusted crop growth quantitative coefficient by performing growth prediction on the crops is: ,in represents the quantitative coefficient of crop growth after adjustment, It represents the soil nutrient quantification coefficient after soil parameter adjustment in each monitoring sub-area. It indicates the amount of soil nutrients in each monitoring sub-area after soil parameters are adjusted. It represents the average soil nutrient content after soil parameter adjustment in each monitoring sub-area.

7. The agricultural farming modeling management system based on image analysis according to claim 1, characterized in that: In the crop cultivation modeling and judgment module, a crop cultivation judgment model based on soil parameter adjustment is established to judge whether the adjustment effect meets the adjustment threshold. The specific contents are as follows: A crop cultivation judgment model based on soil parameter adjustment is established, and the expression of the model is: ,in It represents the evaluation value of the adjustment effect based on soil parameter adjustment. represents the quantitative coefficient of crop growth in each monitoring sub-area, It represents the quantitative coefficient of crop growth after adjustment; The adjustment effect evaluation value based on soil parameter adjustment is compared with the adjustment threshold: if the adjustment effect evaluation value based on soil parameter adjustment is greater than or equal to the adjustment threshold, the adjustment success rate is judged to be high; otherwise, the adjustment success rate is judged to be low.

8. The agricultural farming modeling management system based on image analysis according to claim 1, characterized in that: The judgment result output warning module receives the judgment result of the crop cultivation modeling judgment module, and sends a warning message to the human-computer interaction terminal when the judgment result is that the adjustment success rate is low.

9. An agricultural farming modeling management method based on image analysis, used for using an agricultural farming modeling management system based on image analysis according to any one of claims 1 to 8, characterized in that: The following steps are involved: Step S01: Obtaining soil nutrients and growth parameters of crops in the monitoring area; Step S02: judging the growth status of crops, calculating the amount of soil fertilizer to be applied, and issuing crop soil parameter adjustment instructions; Step S03: quantifying the nutrients of the soil parameters based on the adjusted crop soil parameters to obtain an adjusted soil nutrient quantification coefficient; Step S04: predicting the growth of crops to obtain quantitative growth coefficients of crops after adjustment; Step S05: establishing a crop cultivation judgment model based on soil parameter adjustment to determine whether the adjustment effect meets the adjustment threshold; Step S06: Sending warning information to the human-computer interaction terminal based on the judgment result.

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