An agricultural cultivation modeling management method and system based on image analysis

Abstract

The present invention relates to the technical field of image analysis. The present invention discloses an agricultural cultivation modeling management method and system based on image analysis, including: a crop growth image data acquisition module, a crop growth state quantification and 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 and warning module. It acquires the soil nutrient content and the growth parameters of the planted crops in the monitoring area, judges the growth state of the crops, calculates the soil fertilization amount and issues a crop soil parameter adjustment instruction, quantifies the nutrients of the soil parameters to obtain the adjusted soil nutrient quantification coefficient, predicts the growth of the crops, establishes a crop cultivation judgment model based on soil parameter adjustment to judge the adjustment effect, and improves the long-term productivity of the soil.

Description

Technical Field

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

[0002] With the growth of the global population, the demand for food is increasing continuously. Agricultural production is facing challenges in increasing yields and efficiency. At the same time, climate change has led to an increase in the uncertainty of the agricultural production environment, such as the frequent occurrence of extreme weather events like droughts and floods, which have had a serious impact on agricultural production. During the agricultural production process, problems such as the decline in soil quality and water resource shortages are becoming increasingly prominent. There is a need for more scientific cultivation management methods to protect the agricultural environment and improve resource utilization efficiency. The rapid development of computer technology has made it possible to model agricultural cultivation. The application of remote sensing technology, Internet of Things technology, etc. in agriculture has facilitated the real-time acquisition of farmland information, making agricultural cultivation modeling more accurate and real-time.

[0003] However, traditional agricultural cultivation modeling management methods have limited ordinary image analysis bands and are difficult to detect subtle biochemical changes, unable to provide sufficient spectral resolution resulting in weak early growth anomaly detection ability, and difficult to provide refined nutrient diagnosis leading to inaccurate fertilization; field trials require long-term observation, are costly and affected by uncontrollable factors, and lack a prediction model based on parameter adjustment to predict the growth trend of crops, thus affecting the prediction timeliness. Summary of the Invention

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

[0005] The present invention provides the following technical solutions: An agricultural cultivation modeling management system based on image analysis, comprising: a crop growth image data acquisition module, a crop growth state quantification and 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 and warning module;

[0006] The crop growth image data acquisition module includes a soil nutrient determination unit and a multispectral image acquisition unit, and is used to acquire the soil nutrient content and the growth parameters of the planted crops in the monitoring area;

[0007] The crop growth state quantification and 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;

[0008] The adjusted crop growth soil analysis module quantifies the nutrients of the soil parameters based on the adjusted crop soil parameters, and obtains the adjusted soil nutrient quantification coefficient;

[0009] The adjusted crop growth prediction module predicts the growth of the crops based on the adjusted soil nutrient quantification coefficient obtained by the adjusted crop growth soil analysis module to obtain the adjusted crop growth quantification coefficient;

[0010] The crop cultivation modeling judgment module establishes a crop cultivation judgment model based on the adjustment of soil parameters, judges whether the adjustment effect meets the adjustment threshold, and transmits the judgment result to the judgment result output warning module;

[0011] The judgment result output warning module sends a warning message to the human-computer interaction terminal based on the received judgment result.

[0012] Preferably, in the crop growth image data acquisition module, the soil nutrient measurement unit measures the soil nutrients in the monitoring area by using a soil nutrient tester: the monitoring area is divided into n monitoring sub-areas according to the equal area principle, 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 the soil nutrient content of each monitoring sub-area is transmitted to the crop growth state quantification judgment module;

[0013] The multi-spectral image acquisition unit uses a multi-spectral camera to collect crop images of 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 state quantification judgment module. The parameter is the spectral reflectance of the crop images in each monitoring sub-area in the fixed spectral band.

[0014] Preferably, the specific content of the crop growth state quantification judgment module issuing a crop soil parameter adjustment instruction based on the quantification result is as follows:

[0015] The crop growth state quantification unit receives the soil nutrient content of each monitoring sub-area transmitted by the soil nutrient measurement unit and calculates the crop growth quantification coefficient of each monitoring sub-area based on the growth parameters of the planted crops transmitted by the multi-spectral image acquisition unit, and quantitatively judges the crop growth state;

[0016] The calculation formula for the crop growth quantification coefficient of each monitoring sub-area is: where represents the crop growth quantification coefficient of each monitoring sub-area, Indicates the spectral reflectance of the crop images in each monitoring sub-region at a fixed spectral band. Indicates the average spectral reflectance of the crop images in each monitoring sub-region at a fixed spectral band. Indicates the soil nutrient content of each monitoring sub-region. Indicates the average soil nutrient content of each monitoring sub-region;

[0017] Compare the crop growth quantification coefficient of each monitoring sub-region 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, it is determined that the crop growth is normal; otherwise, it is determined that the crop growth is abnormal.

[0018] Preferably, the specific content of the crop soil parameter adjustment instruction issued based on the quantification result is as follows:

[0019] When the crop growth status quantification unit determines abnormally, the soil nutrient quantification unit performs soil nutrient quantification analysis on the monitoring sub-region to calculate the soil fertilization amount of each monitoring sub-region;

[0020] The calculation formula for the soil fertilization amount of each monitoring sub-region is: , where Indicates the soil fertilization amount of each monitoring sub-region, Indicates the nutrient absorption amount required by the crops in each monitoring sub-region, Indicates the soil fertilizer supply amount of each monitoring sub-region, Indicates the fertilizer nutrient content of each monitoring sub-region, Indicates the fertilizer utilization coefficient in the current season;

[0021] When the crop growth status quantification unit determines abnormally, issue a crop soil parameter adjustment instruction, and use the soil fertilization amount as the fertilization target to adjust the soil parameters of the abnormal area.

[0022] Preferably, in the adjusted crop growth soil analysis module, the specific content of quantifying the soil parameters based on the adjusted crop soil parameters to obtain the adjusted soil nutrient quantification coefficient is as follows:

[0023] Use a soil nutrient tester to obtain the soil nutrient content after soil parameter adjustment in each monitoring sub-region , and calculate the correction factor of the soil nutrient content based on the preset soil nutrient quantification safety threshold. The calculation formula is: , where Indicates the correction factor of the soil nutrient content after soil parameter adjustment in each monitoring sub-region, Indicates the preset soil nutrient quantification safety threshold;

[0024] The calculation formula for the soil nutrient quantification coefficient after adjusting the soil parameters in each monitoring sub-region is as follows: , where represents the soil nutrient quantification coefficient after adjusting the soil parameters in each monitoring sub-region, represents the crop demand critical value in each monitoring sub-region.

[0025] Preferably, in the adjusted crop growth prediction module, the calculation formula for obtaining the adjusted crop growth quantification coefficient by predicting the growth of crops is: , where represents the adjusted crop growth quantification coefficient, represents the soil nutrient quantification coefficient after adjusting the soil parameters in each monitoring sub-region, represents the soil nutrient amount after adjusting the soil parameters in each monitoring sub-region, represents the average soil nutrient amount after adjusting the soil parameters in each monitoring sub-region.

[0026] Preferably, in the crop cultivation modeling judgment module, a crop cultivation judgment model based on soil parameter adjustment is established, and the specific content for judging whether the adjustment effect meets the adjustment threshold is as follows:

[0027] A crop cultivation judgment model based on soil parameter adjustment is established, and the expression of the model is: , where represents the adjustment effect evaluation value based on soil parameter adjustment, represents the crop growth quantification coefficient in each monitoring sub-region, represents the adjusted crop growth quantification coefficient;

[0028] 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, it is judged that the adjustment success rate is high; otherwise, it is judged that the adjustment success rate is low.

[0029] Preferably, in the judgment result output warning module, the judgment result of the crop cultivation modeling judgment module is received, and a warning message is sent to the human-computer interaction terminal when the judgment result is that the adjustment success rate is low.

[0030] An agricultural cultivation modeling management method based on image analysis includes the following steps:

[0031] Step S01: Obtain the soil nutrient amount and the growth parameters of the planted crops in the monitoring area;

[0032] Step S02: Judge the growth state of the crops, calculate the soil fertilization amount, and issue a crop soil parameter adjustment instruction;

[0033] Step S03: Quantify the nutrients of the soil parameters based on the adjusted crop soil parameters to obtain the adjusted soil nutrient quantification coefficient;

[0034] Step S04: Conduct growth prediction on the crops to obtain the adjusted crop growth quantification coefficient;

[0035] Step S05: Establish a crop cultivation judgment model based on soil parameter adjustment to determine whether the adjustment effect meets the adjustment threshold;

[0036] Step S06: Send a warning message to the human-machine interaction terminal based on the judgment result.

[0037] Technical effects and advantages of the present invention:

[0038] The present invention is provided with a crop growth image data acquisition module, a crop growth status quantification 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, which can obtain the soil nutrient content and the growth parameters of the planted crops in the monitoring area, judge the crop growth status, calculate the soil fertilization amount, and issue a crop soil parameter adjustment instruction. Traditional uniform fertilization is likely to cause over-fertilization or under-fertilization in some areas, while variable fertilization based on soil and crop data can accurately match the requirements and improve resource utilization efficiency;

[0039] Quantify the nutrients of the soil parameters to obtain the adjusted soil nutrient quantification coefficient, conduct growth prediction on the crops, and establish a crop cultivation judgment model based on soil parameter adjustment to judge the adjustment effect, which improves the long-term productivity of the soil and can significantly enhance the accuracy of agricultural management and environmental sustainability. Brief Description of the Drawings

[0040] Figure 1 It is a schematic structural diagram of an agricultural cultivation modeling management system based on image analysis.

[0041] Figure 2 It is a schematic flow diagram of an agricultural cultivation modeling management method based on image analysis. Detailed Embodiments

[0042] Next, the technical solutions in the present invention will be clearly and completely described in conjunction with the drawings in the present invention. In addition, the forms of the structures described in the following embodiments are merely examples, and an agricultural cultivation modeling management method and system related to the present invention are not limited to the structures described in the following embodiments. All other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

[0043] AsFigure 1 As shown in Figure 1 , 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 status quantification and 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 and warning module;

[0044] The crop growth image data acquisition module includes a soil nutrient determination unit and a multispectral image acquisition unit, and is used to obtain the soil nutrient content and the growth parameters of the planted crops in the monitoring area;

[0045] The crop growth status quantification and judgment module includes a crop growth status quantification unit and a soil nutrient quantification unit, and issues a crop soil parameter adjustment instruction based on the quantification result;

[0046] The adjusted crop growth soil analysis module quantifies the soil parameters based on the adjusted crop soil parameters to obtain the adjusted soil nutrient quantification coefficient;

[0047] The adjusted crop growth prediction module performs growth prediction on the crops based on the adjusted soil nutrient quantification coefficient obtained by the adjusted crop growth soil analysis module to obtain the adjusted crop growth quantification coefficient;

[0048] The crop cultivation modeling 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 and warning module;

[0049] The judgment result output and warning module sends a warning message to the human-computer interaction terminal based on the received judgment result.

[0050] In this embodiment, it should be specifically noted that in the crop growth image data acquisition module, the soil nutrient determination unit uses a soil nutrient tester to measure the soil nutrients in the monitoring area: the monitoring area is divided into n monitoring sub-areas according to the equal area principle, i = 1, 2, 3,..., n, where i represents the area number of the monitoring sub-area, and n represents the total number of monitoring sub-areas. The soil nutrient content of each monitoring sub-area is obtained by using the soil nutrient tester and the soil nutrient content of each monitoring sub-area is transmitted to the crop growth status quantification and judgment module;

[0051] The multispectral image acquisition unit uses a multispectral camera to collect crop images of each monitoring sub-region, obtains the reflection information of the crops in each monitoring sub-region in a fixed spectral band, extracts the growth parameters of the planted crops, and transmits them to the crop growth status quantification and judgment module. The parameter is the spectral reflectance of the crop images in each monitoring sub-region in the fixed spectral band.

[0052] In this embodiment, it should be specifically noted that the specific content of the crop soil parameter adjustment instruction issued by the crop growth status quantification and judgment module is as follows:

[0053] The crop growth status quantification unit receives the soil nutrient amounts of each monitoring sub-region transmitted by the soil nutrient measurement unit , and calculates the crop growth quantification coefficient of each monitoring sub-region based on the growth parameters of the planted crops transmitted by the multispectral image acquisition unit, and quantitatively judges the crop growth status;

[0054] The calculation formula for the crop growth quantification coefficient of each monitoring sub-region is: , where represents the crop growth quantification coefficient of each monitoring sub-region, represents the spectral reflectance of the crop images in each monitoring sub-region in the fixed spectral band, represents the average spectral reflectance of the crop images in each monitoring sub-region in the fixed spectral band, represents the soil nutrient amount of each monitoring sub-region, represents the average soil nutrient amount of each monitoring sub-region. Among them, the crop growth quantification coefficient of each monitoring sub-region represents the correlation between the spectral reflectance of the crop images in each monitoring sub-region in the fixed spectral band and the soil nutrient amount of each monitoring sub-region, and is used to evaluate the crop growth situation;

[0055] The spectral reflectances of the crop images in each monitoring sub-region in the fixed spectral band are respectively: 0.42, 0.38, 0.36, 0.44, 0.48. Then the average spectral reflectance of the crop images in each monitoring sub-region in the fixed spectral band ;

[0056] The soil nutrient amounts of each monitoring sub-region represent that the soil nitrogen contents are respectively: 80mg / kg, 100mg / kg, 120mg / kg, 70mg / kg, 60mg / kg. Then the average soil nutrient amount of each monitoring sub-region ;

[0057] Compare the crop growth quantification coefficient of each monitored sub - region 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, it is determined that the crop growth is normal. Conversely, if the crop growth quantification coefficient is less than the preset crop growth quantification threshold, it is determined that the crop growth is abnormal.

[0058] In this embodiment, it should be specifically noted that the specific content of issuing a crop soil parameter adjustment instruction based on the quantification result is as follows:

[0059] When the crop growth status quantification unit determines abnormality, the soil nutrient quantification unit performs soil nutrient quantification analysis on the monitored sub - regions to calculate the soil fertilization amount of each monitored sub - region;

[0060] The calculation formula for the soil fertilization amount of each monitored sub - region is: , where represents the soil fertilization amount of each monitored sub - region, represents the nutrient absorption amount of crops in each monitored sub - region, represents the soil fertilizer supply amount of each monitored sub - region, represents the fertilizer nutrient content of each monitored sub - region, represents the fertilizer utilization coefficient in the current season;

[0061] The nutrient absorption amount of crops in each monitored sub - region represents the difference between the soil nutrient amount in each monitored sub - region and the preset soil nutrient standard value. The calculation formula is: , where represents the nutrient absorption amount of crops in each monitored sub - region, represents the soil nutrient amount of each monitored sub - region, represents the preset soil nutrient standard value;

[0062] When the crop growth status quantification unit determines abnormality, issue a crop soil parameter adjustment instruction, and use the soil fertilization amount as the fertilization target to adjust the soil parameters in the abnormal area.

[0063] In this embodiment, it should be specifically noted that in the adjusted crop growth soil analysis module, the specific content of quantifying the soil parameters based on the adjusted crop soil parameters to obtain the adjusted soil nutrient quantification coefficient is as follows:

[0064] Use a soil nutrient tester to obtain the soil nutrient amount after soil parameter adjustment in each monitored sub - region , and calculate the correction factor of the soil nutrient amount based on the preset soil nutrient quantification safety threshold. The calculation formula is: , where It represents the correction factor of soil nutrient content after soil parameter adjustment for each monitoring sub-region. It represents the preset quantitative safety threshold of soil nutrients.

[0065] The calculation formula for the soil nutrient quantification coefficient after soil parameter adjustment in each monitoring sub-region is: , where It represents the soil nutrient quantification coefficient after soil parameter adjustment in each monitoring sub-region. It represents the critical value of crop demand in each monitoring sub-region. When the critical value of crop demand in the monitoring sub-region , the soil nutrient content after soil parameter adjustment , then .

[0066] In this embodiment, it should be specifically noted that in the adjusted crop growth prediction module, the calculation formula for obtaining the adjusted crop growth quantification coefficient by predicting the growth of crops is: , where It represents the adjusted crop growth quantification coefficient. It represents the soil nutrient quantification coefficient after soil parameter adjustment in each monitoring sub-region. It represents the soil nutrient content after soil parameter adjustment in each monitoring sub-region. It represents the average soil nutrient content after soil parameter adjustment in each monitoring sub-region.

[0067] The soil nutrient content after soil parameter adjustment in each monitoring sub-region represents that the soil nitrogen contents are 90mg / kg, 110mg / kg, 130mg / kg, 80mg / kg, and 70mg / kg respectively. Then the average soil nutrient content after soil parameter adjustment in each monitoring sub-region ;

[0068] After the soil parameters of the crops are adjusted, the changes in crop growth cannot be shown in a short time. Therefore, it is necessary to predict the growth of the crops to judge whether the soil parameter adjustment can meet the adjustment threshold. The soil nutrient quantification coefficient after soil parameter adjustment in each monitoring sub-region represents the difference between the soil nutrient content after soil parameter adjustment and the critical value of crop demand. The smaller the difference, the larger the corresponding soil nutrient quantification coefficient, and the better the growth of the adjusted crops.

[0069] In this embodiment, it should be specifically noted that in the crop cultivation modeling and judgment module, a crop cultivation judgment model based on soil parameter adjustment is established, and the specific content of judging whether the adjustment effect meets the adjustment threshold is as follows:

[0070] Establish a crop cultivation judgment model based on soil parameter adjustment. The expression of the model is as follows: where represents the adjustment effect evaluation value based on soil parameter adjustment, represents the crop growth quantification coefficient of each monitoring sub-region, represents the crop growth quantification coefficient after adjustment;

[0071] Compare the adjustment effect evaluation value based on soil parameter adjustment with the adjustment threshold: If the adjustment effect evaluation value based on soil parameter adjustment is greater than or equal to the adjustment threshold, it is judged that the adjustment success rate is high. On the contrary, if the adjustment effect evaluation value based on soil parameter adjustment is less than the adjustment threshold, it is judged that the adjustment success rate is low.

[0072] In this embodiment, it should be specifically noted that in the judgment result output warning module, the judgment result of the crop cultivation modeling judgment module is received, and a warning message is sent to the human-computer interaction terminal when the judgment result is that the adjustment success rate is low.

[0073] As Figure 2 shown, in this embodiment, it should be specifically noted that an agricultural cultivation modeling management method based on image analysis includes the following steps:

[0074] Step S01: Obtain the soil nutrient content of the monitoring area and the growth parameters of the planted crops;

[0075] Step S02: Judge the growth state of the crops, calculate the soil fertilization amount, and issue a crop soil parameter adjustment instruction;

[0076] Step S03: Quantify the soil parameters based on the adjusted crop soil parameters to obtain the adjusted soil nutrient quantification coefficient;

[0077] Step S04: Conduct growth prediction on the crops to obtain the adjusted crop growth quantification coefficient;

[0078] Step S05: Establish a crop cultivation judgment model based on soil parameter adjustment to judge whether the adjustment effect meets the adjustment threshold;

[0079] Step S06: Send a warning message to the human-computer interaction terminal based on the judgment result.

[0080] In this embodiment, it should be specifically noted that the main difference between this embodiment and the prior art lies in that this embodiment is provided with a crop growth image data acquisition module, a crop growth status quantification and judgment module, an adjusted crop growth soil analysis module, an adjusted crop growth prediction module, a crop cultivation modeling and judgment module, and a judgment result output and warning module, which are used to obtain the soil nutrient content and the growth parameters of the planted crops in the monitoring area, judge the crop growth status, calculate the soil fertilization amount and issue a crop soil parameter adjustment instruction. Traditional uniform fertilization is likely to cause excess or deficiency in some areas, while variable fertilization based on soil-crop data can accurately match the requirements and improve the resource utilization rate;

[0081] Quantify the nutrients of the soil parameters to obtain the adjusted soil nutrient quantification coefficient, predict the growth of the crops, establish a crop cultivation judgment model based on the soil parameter adjustment to judge the adjustment effect, improve the long-term productivity of the soil, and can significantly improve the accuracy of agricultural management and environmental sustainability.

[0082] Finally: The above are only the preferred embodiments of the present invention and are not used to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

[0083] The above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of changes or replacements within the technical scope disclosed in the present application, and all of them should be covered by the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to 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 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 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 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, it is judged that the crop growth is normal; otherwise, it is judged that the crop growth is abnormal; 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; 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; 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; 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; 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; 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; Compare the adjustment effect evaluation value based on soil parameter adjustment with the adjustment threshold: if the adjustment effect evaluation value based on soil parameter adjustment is greater than or equal to the adjustment threshold, it is judged that the adjustment success rate is high; otherwise, it is judged that the adjustment success rate is low; 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 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.

4. 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.

5. 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 4, 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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