Sorghum planting area inspection system based on visual inspection

Abstract

The invention relates to the technical field of planting area inspection, in particular to a sorghum planting area inspection system based on visual inspection, which comprises a planting area inspection platform, a planting database, an inspection tracking unit, an inspection information unit, a disease division unit, an inspection matching unit and an inspection management unit, according to the method, the inspection quality comprehensive evaluation analysis is further performed on the inspection image data in an information feedback manner, so that the effectiveness of the sorghum planting area inspection image is ensured, and the planting area disease risk division analysis is performed in the information feedback manner; the sorghum planting area is managed in a small area or the whole area according to the proportion condition of the disease area, so that the sorghum planting and growth risk is reduced, area inspection period management and control demand evaluation and analysis are carried out in a progressive mode, targeted inspection period management is carried out according to the planting and growth condition of the sorghum planting area, and the management and control efficiency is improved. Therefore, the sorghum growth health level in the sorghum planting area is improved.

Description

Technical Field

[0001] The invention relates to the technical field of planting area inspection, and in particular to a sorghum planting area inspection system based on visual detection. Background Art

[0002] Smart agriculture is to apply IoT technology to traditional agriculture, using sensors and software to control agricultural production through mobile platforms or computer platforms, making traditional agriculture more "intelligent". In addition to precise perception, control and decision-making management, in a broad sense, smart agriculture also includes agricultural e-commerce, food traceability and anti-counterfeiting, agricultural leisure tourism, agricultural information services and other aspects.

[0003] In the process of planting agricultural products, workers are often required to regularly inspect agricultural products. When the planting area of ​​agricultural products is large enough, the inspection pressure of workers will be very high. Therefore, inspections are carried out through existing technologies. However, in the existing technologies, it is impossible to track the inspection accuracy set by the inspection, thereby reducing the inspection effect of the planting area, and it is impossible to supervise the availability of images transmitted by the inspection, which is not conducive to providing data support for subsequent planting area management, and it is impossible to identify diseases, manage regional divisions, and adjust the inspection cycle of sorghum in the planting area, thereby increasing the health risk of the growth of the planting area and reducing the growth management efficiency of the planting area;

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a sorghum planting area inspection system based on visual detection to solve the above-mentioned technical defects. The present invention preliminarily conducts inspection deviation risk supervision feedback analysis on the inspection information of the inspection equipment to improve the inspection reliability and inspection accuracy of the inspection equipment in the sorghum planting area, and further conducts comprehensive inspection quality evaluation and analysis on the inspection image data by means of information feedback to ensure the effectiveness of the inspection images of the sorghum planting area. The planting area disease risk division analysis is performed by means of information feedback. On the one hand, targeted management is performed on each area according to the disease situation. On the other hand, small areas or the entire sorghum planting area are managed according to the proportion of diseased areas to reduce the risk of sorghum planting and growth. Regional inspection cycle control needs assessment and analysis are performed in a progressive manner, so that targeted inspection cycle management can be made according to the planting and growth conditions of the sorghum planting area to improve the healthy growth of sorghum in the sorghum planting area.

[0006] The object of the present invention can be achieved by the following technical solutions: a sorghum planting area inspection system based on visual detection, comprising a planting area inspection platform, a planting database, an inspection tracking unit, an inspection information unit, a disease classification unit, an inspection matching unit and an inspection management unit;

[0007] The planting area inspection platform is used to retrieve the inspection information of the sorghum planting area inspection equipment from the planting database and send the inspection information to the inspection tracking unit;

[0008] The inspection tracking unit is used to perform inspection deviation risk supervision feedback analysis on the received inspection information, compare and analyze the obtained deviation risk value and the inspection transmission assessment value, and obtain a synchronization signal or a risk signal;

[0009] The inspection information unit is used to respond to the synchronization signal and collect the inspection image data of the inspection equipment in the sorghum planting area, conduct a comprehensive inspection quality evaluation and analysis on the inspection image data, compare and analyze the inspection failure risk index obtained, and obtain a normal signal or a failure signal;

[0010] The disease classification unit is used to respond to normal signals and perform disease risk classification analysis on the planting area, discriminate and process the obtained regional disease risk index to obtain normal areas, mild risk areas and severe risk areas, and discriminate and process the obtained regional planting hazard index to obtain range management signals or regional management signals;

[0011] The inspection matching unit is used to respond to normal signals, and conduct regional inspection cycle control demand assessment and analysis on the obtained normal areas, light risk areas and severe risk areas, and send the obtained regional inspection cycle plan to the inspection management unit.

[0012] Preferably, the inspection deviation risk supervision feedback analysis process of the inspection tracking unit is as follows:

[0013] The inspection period of the sorghum planting area is collected and set as a time threshold, and the inspection information of the inspection equipment in the sorghum planting area within the time threshold is obtained, and the inspection information includes the actual inspection route and the inspection transmission evaluation value;

[0014] Obtain the prescribed inspection route of the inspection equipment in the sorghum planting area, compare and analyze the actual inspection route with the prescribed inspection route, and set the difference between the actual inspection route and the prescribed inspection route as the deviation risk value; the inspection transmission evaluation value indicates the frequency of the time length between the start transmission time and the display time of the inspection privileged image of the sorghum planting area exceeding the preset time length;

[0015] The yaw risk value and the inspection transmission assessment value are compared and analyzed with the preset yaw risk value threshold and the preset inspection transmission assessment value threshold that are internally entered and stored to obtain a synchronization signal or a risk signal.

[0016] Preferably, the inspection quality comprehensive evaluation and analysis process of the inspection information unit is as follows:

[0017] The time threshold is divided into i sub-time periods, where i is a natural number greater than zero. The inspection image data of the inspection equipment in the sorghum planting area in each sub-time period is obtained. The inspection image data includes a self-adjustment evaluation value and an image quality evaluation index. The inspection risk assessment coefficient Ki of each sub-time period is obtained according to the formula. The ratio of the sub-time period corresponding to the inspection risk assessment coefficient Ki being greater than or equal to the preset inspection risk assessment coefficient threshold to the total number of sub-time periods is set as the inspection failure risk index. The inspection failure risk index is compared and analyzed to obtain a normal signal or a failure signal.

[0018] Preferably, the self-adjustment evaluation value represents the average of the self-adjustment response time of the shooting parameters of the inspection equipment in the sorghum-growing area, the shooting parameters include focal length and fill light brightness, and the self-adjustment response time represents the time between the start time of adjustment and the end time of adjustment; the image quality evaluation index represents the frequency at which the value corresponding to the image information of the inspection characteristic image of the inspection equipment in the sorghum-growing area is lower than the value corresponding to the preset threshold, and the image information includes picture clarity and resolution.

[0019] Preferably, the planting area disease risk division analysis process of the disease division unit is as follows:

[0020] The inspection feature image of the sorghum planting area within the time threshold is obtained, and the inspection feature image is preprocessed, the preprocessing includes cropping and scaling, and the normal inspection feature image corresponding to the normal growing sorghum at the current moment is obtained at the same time, and the preprocessed inspection feature image is divided into g sub-region blocks, g is a natural number greater than zero, and the growth risk information of each sub-region block is obtained. The growth risk information includes the number of pests and diseases and the depth of growth damage, and the number of pests and diseases and the growth damage depth that is greater than or equal to the preset pests and diseases number threshold and the preset growth damage depth threshold is obtained, and it is set as the regional disease risk index, and the regional disease risk index is discriminated and processed to obtain normal areas, mild risk areas and severe risk areas.

[0021] Preferably, the number of pests and diseases represents the sum of the pests staying on the sorghum stems and leaves and the pests in flight in the sub-region block; the growth damage depth represents the ratio between the number of good leaves of the sorghum stems and leaves in the sub-region block and the total number of leaves of the sorghum stems and leaves, and the number of good leaves of the sorghum stems and leaves represents the stems and leaves corresponding to which the difference between the sorghum stem and leaf area and the normal sorghum stem area corresponding to the current moment is lower than the preset threshold.

[0022] Preferably, the number of sub-areas corresponding to the mild risk area and the severe risk area in the sorghum planting area within the time threshold is obtained, and set as the regional planting hazard index, and the regional planting hazard index is discriminated and processed to obtain a range management signal or a regional management signal.

[0023] Preferably, the regional inspection cycle control demand evaluation and analysis process of the inspection matching unit is as follows:

[0024] The corresponding numbers of normal areas, mild risk areas and severe risk areas are set as area state values ​​Qm, where m = 1, 2, 3;

[0025] The regional status values ​​Qm1…Qmn of the sorghum planting area within n historical time thresholds are obtained, where n is a natural number greater than zero. A rectangular coordinate system is established with the time threshold as the X-axis and the regional status value as the Y-axis. The regional status value Qm curve is drawn by plotting points, and then the change trend value of the regional status value Qm curve is obtained, and they are set as normal trend values, mild trend values, and severe trend values, respectively. The ratio between the sum of the mild trend value and the severe trend value and the normal trend value is set as the regional inspection demand value;

[0026] The regional inspection demand values ​​are compared and analyzed. If the regional inspection demand value is greater than the preset regional inspection demand value threshold, an inspection control instruction is generated. When the inspection control instruction is generated, the inspection interval duration of the current sorghum planting area is obtained, and the ratio between the regional inspection demand value and the corresponding value of the inspection interval duration is set as the periodic control ratio. The periodic control ratio is compared and analyzed with the preset periodic control ratio interval, thereby obtaining the regional inspection cycle plan corresponding to the periodic control ratio in the corresponding preset periodic control ratio interval.

[0027] The beneficial effects of the present invention are as follows:

[0028] (1) The present invention preliminarily performs inspection deviation risk supervision feedback analysis on the inspection information of the inspection equipment, so as to rationally manage the inspection equipment in the sorghum planting area according to the information feedback, so as to improve the inspection reliability and inspection accuracy of the inspection equipment in the sorghum planting area, and further conducts inspection quality comprehensive evaluation and analysis on the inspection image data by means of information feedback, so as to intuitively understand the inspection failure risk of the inspection equipment according to the information feedback, so as to manage it in a timely manner, so as to ensure the effectiveness of the inspection images in the sorghum planting area;

[0029] (2) The present invention analyzes the disease risk classification of the planting area through information feedback. On the one hand, targeted management is carried out on each area according to the disease situation to improve the regional management efficiency of the sorghum planting area. On the other hand, small areas or the entire sorghum planting area are managed according to the proportion of diseased areas to reduce the risk of sorghum planting and growth. In a progressive manner, regional inspection cycle control needs assessment and analysis are carried out to conduct reasonable inspections based on the planting and growth conditions of the sorghum planting area, which helps to keep abreast of the planting conditions of the sorghum planting area so as to make targeted management to improve the healthy growth of sorghum in the sorghum planting area. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The present invention will be further described below in conjunction with the accompanying drawings;

[0031] Figure 1 It is a flowchart of the system of the present invention;

[0032] Figure 2 It is a local analysis reference diagram of the present invention. DETAILED DESCRIPTION

[0033] 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.

[0034] Embodiment 1:

[0035] See also Figure 1 to Figure 2 As shown, the present invention is a sorghum planting area inspection system based on visual detection, including a planting area inspection platform, a planting database, an inspection tracking unit, an inspection information unit, a disease classification unit, an inspection matching unit and an inspection management unit, the planting database is connected to the planting area inspection platform in a one-way communication, the planting area inspection platform is connected to the inspection tracking unit in a one-way communication, the inspection tracking unit is connected to the inspection information unit and the inspection management unit in a one-way communication, the inspection information unit is connected to the disease classification unit, the inspection matching unit and the inspection management unit in a one-way communication, the disease classification unit is connected to the inspection matching unit in a one-way communication, and the inspection matching unit is connected to the inspection management unit in a one-way communication;

[0036] The planting area inspection platform is used to retrieve the inspection information of the sorghum planting area inspection equipment from the planting database, and send the inspection information to the inspection tracking unit, which is used to perform inspection deviation risk supervision feedback analysis on the received inspection information, so as to rationally manage the sorghum planting area inspection equipment according to the information feedback, so as to improve the inspection reliability and inspection accuracy of the sorghum planting area inspection equipment. The specific inspection deviation risk supervision feedback analysis process is as follows:

[0037] The inspection period of the sorghum planting area is collected and set as a time threshold, and the inspection information of the inspection equipment in the sorghum planting area within the time threshold is obtained, and the inspection information includes the actual inspection route and the inspection transmission evaluation value;

[0038] Obtain the prescribed inspection route of the inspection equipment in the sorghum planting area, compare and analyze the actual inspection route with the prescribed inspection route, and set the difference between the actual inspection route and the prescribed inspection route as the deviation risk value. It should be noted that the larger the deviation risk value, the higher the inspection management demand for the sorghum planting area;

[0039] In the embodiment of the present invention, the inspection transmission evaluation value indicates the frequency of the time length between the start transmission time and the display time of the inspection privileged image of the sorghum planting area exceeding the preset time length. It should be noted that the larger the inspection transmission evaluation value, the greater the risk of abnormal synchronization of the inspection image of the sorghum planting area.

[0040] Compare and analyze the deviation risk value and the inspection transmission assessment value with the preset deviation risk value threshold and the preset inspection transmission assessment value threshold that are stored internally:

[0041] If the yaw risk value is less than or equal to the preset yaw risk value threshold, and the inspection transmission evaluation value is less than the preset inspection transmission evaluation value threshold, a synchronization signal is generated;

[0042] If the deviation risk value is greater than the preset deviation risk value threshold, or the inspection transmission evaluation value is greater than or equal to the preset inspection transmission evaluation value threshold, a risk signal is generated, and the synchronization signal or risk signal is sent to the inspection management unit. After receiving the synchronization signal or risk signal, the inspection management unit immediately performs a warning operation corresponding to the synchronization signal or risk signal, so as to rationally manage the inspection equipment in the sorghum planting area according to the information feedback, so as to improve the inspection reliability and inspection accuracy of the inspection equipment in the sorghum planting area;

[0043] When the synchronization signal is generated, the inspection information unit is used to respond to the synchronization signal and collect the inspection image data of the inspection equipment in the sorghum planting area, and conduct a comprehensive inspection quality evaluation and analysis on the inspection image data, so as to intuitively understand the inspection failure risk of the inspection equipment based on the information feedback, so as to manage it in time to ensure the effectiveness of the inspection image in the sorghum planting area. The specific inspection quality comprehensive evaluation and analysis process is as follows:

[0044] The time threshold is divided into i sub-time periods, where i is a natural number greater than zero. The inspection image data of the inspection equipment in the sorghum planting area in each sub-time period is obtained. The inspection image data includes the self-adjustment evaluation value and the image quality evaluation index. According to the formula The inspection risk assessment coefficient of each sub-time period is obtained, where ZTi represents the self-adjustment assessment value of each sub-time period, TPi represents the image quality assessment index of each sub-time period, a1 and a2 are the preset weight factor coefficients of the self-adjustment assessment value and the image quality assessment index respectively, a3 is the preset correction factor coefficient, a1, a2 and a3 are all greater than zero, Ki is the inspection risk assessment coefficient of each sub-time period, and the ratio between the sub-time period corresponding to the inspection risk assessment coefficient Ki greater than or equal to the preset inspection risk assessment coefficient threshold and the total number of sub-time periods is set as the inspection failure risk index, and the inspection failure risk index is compared and analyzed:

[0045] If the inspection failure risk index is less than the preset inspection failure risk index threshold, a normal signal is generated;

[0046] If the inspection failure risk index is greater than or equal to the preset inspection failure risk index threshold, a failure signal is generated, and the normal signal or the failure signal is sent to the inspection management unit. After receiving the normal signal or the failure signal, the inspection management unit immediately performs the warning operation corresponding to the normal signal or the failure signal, so as to intuitively understand the inspection failure risk of the inspection equipment based on the information feedback, so as to carry out management in a timely manner, so as to ensure the effectiveness of the inspection image of the sorghum planting area, help provide data support for the subsequent management of the sorghum planting area, and reduce the impact of the inspection image of the sorghum planting area on the subsequent management;

[0047] In the embodiment of the present invention, the self-adjustment evaluation value represents the average of the self-adjustment response time of the shooting parameters of the inspection equipment in the sorghum planting area, the shooting parameters include focal length, fill light brightness, etc., and the self-adjustment response time represents the time between the start of adjustment and the end of adjustment. It should be noted that the larger the value of the self-adjustment evaluation value, the greater the abnormality of the image captured by the inspection;

[0048] In the embodiment of the present invention, the image quality evaluation index indicates the frequency at which the value corresponding to the image information of the inspection feature image of the inspection equipment in the sorghum planting area is lower than the value corresponding to the preset threshold, and the image information includes picture clarity, resolution, etc. It should be noted that the larger the value of the image quality evaluation index, the greater the risk of abnormal availability of the images taken during the inspection in the sorghum planting area.

[0049] Embodiment 2:

[0050] When a normal signal is generated, the disease classification unit is used to respond to the normal signal and perform disease risk classification analysis in the planting area, so as to carry out targeted management of each risk area according to the information feedback, so as to improve the regional management efficiency of the sorghum planting area. The specific planting area disease risk classification analysis process is as follows:

[0051] The inspection feature image of the sorghum planting area within the time threshold is obtained, and the inspection feature image is preprocessed, including cropping, scaling, etc. At the same time, the normal inspection feature image corresponding to the normal growth of sorghum at the current moment is obtained, and the preprocessed inspection feature image is divided into g sub-region blocks, where g is a natural number greater than zero, and the growth risk information of each sub-region block is obtained. The growth risk information includes the number of pests and diseases and the depth of growth damage. The number of pests and diseases and the growth damage depth that is greater than or equal to the preset pests and diseases number threshold and the preset growth damage depth threshold is obtained, and it is set as the regional disease risk index, and the regional disease risk index is discriminated:

[0052] If the regional disease risk index = zero, the corresponding sub-region is judged to be a normal region;

[0053] If the regional disease risk index = 1, the corresponding sub-region is judged as a mild risk area;

[0054] If the regional disease risk index = 2, the corresponding sub-region is judged to be a severe risk area;

[0055] In the embodiment of the present invention, the number of pests and diseases represents the sum of the pests that stay on the sorghum stems and leaves and the pests that are in flight in the sub-region block. It should be noted that the greater the number of pests and diseases, the greater the risk of sorghum planting in the sub-region.

[0056] In the embodiment of the present invention, the growth hazard depth represents the ratio between the number of good sorghum stems and leaves in the sub-region block and the total number of sorghum stems and leaves. The number of good sorghum stems and leaves represents the stems and leaves corresponding to which the difference between the sorghum stem area and the normal sorghum stem area corresponding to the current moment is lower than the preset threshold. It should be noted that the greater the value of the growth hazard depth, the greater the health risk of sorghum growth in the sub-region;

[0057] The number of sub-areas corresponding to the mild risk area and the severe risk area in the sorghum planting area within the time threshold is obtained, and it is set as the regional planting hazard index, and the regional planting hazard index is discriminated:

[0058] If the regional planting hazard index is greater than or equal to a preset regional planting hazard index threshold, a range management signal is generated;

[0059] If the regional planting hazard index is less than the preset regional planting hazard index threshold, a regional management signal is generated, and the regional management signal or the range management signal is sent to the inspection management unit through the inspection matching unit. After receiving the regional management signal or the range management signal, the inspection management unit immediately makes an early warning operation corresponding to the regional management signal or the range management signal, so as to carry out targeted management of the mild risk area and the severe risk area or manage the sorghum planting area as a whole according to the information feedback, so as to improve the regional management efficiency of the sorghum planting area;

[0060] When a normal signal is generated, the inspection matching unit is used to respond to the normal signal and conduct regional inspection cycle control demand assessment and analysis on the obtained normal area, mild risk area and severe risk area, so as to conduct reasonable inspections according to the planting and growth conditions of the sorghum planting area, thereby helping to always understand the planting conditions of the sorghum planting area so as to make targeted management to improve the growth health of sorghum in the sorghum planting area. The specific regional inspection cycle control demand assessment and analysis process is as follows:

[0061] The corresponding numbers of normal areas, mild risk areas and severe risk areas are set as area state values ​​Qm, where m = 1, 2, 3;

[0062] In the embodiment of the present invention, the area status value Q1 indicates the number of normal areas, the area status value Q2 indicates the number of mild risk areas, and the area status value Q3 indicates the number of severe risk areas;

[0063] The regional status values ​​Qm1…Qmn of the sorghum planting area within n historical time thresholds are obtained, where n is a natural number greater than zero. A rectangular coordinate system is established with the time threshold as the X-axis and the regional status value as the Y-axis. The regional status value Qm curve is drawn by plotting points, and then the change trend value of the regional status value Qm curve is obtained, and they are set as normal trend values, mild trend values, and severe trend values ​​respectively. The ratio between the sum of the mild trend value and the severe trend value and the normal trend value is set as the regional inspection demand value. It should be noted that the larger the value of the regional inspection demand value, the higher the inspection interval duration control demand for the current sorghum planting area;

[0064] Compare and analyze the regional inspection demand values. If the regional inspection demand value is greater than the preset regional inspection demand value threshold, generate an inspection control instruction. When the inspection control instruction is generated, obtain the inspection interval duration of the current sorghum planting area, set the ratio between the regional inspection demand value and the corresponding value of the inspection interval duration as the periodic control ratio, and compare and analyze the periodic control ratio with the preset periodic control ratio interval, thereby obtaining the regional inspection cycle plan corresponding to the periodic control ratio in the corresponding preset periodic control ratio interval, and send the regional inspection cycle plan to the inspection management unit. After receiving the regional inspection cycle plan, the inspection management unit immediately displays the warning text corresponding to the regional inspection cycle plan, so as to conduct reasonable inspections according to the planting and growth conditions of the sorghum planting area, thereby helping to always understand the planting conditions of the sorghum planting area, so as to make targeted management, so as to improve the growth health of sorghum in the sorghum planting area;

[0065] In the embodiment of the present invention, each preset period control ratio interval is set to a corresponding regional inspection period scheme;

[0066] To sum up, the present invention preliminarily conducts inspection deviation risk supervision feedback analysis on the inspection information of the inspection equipment, so as to rationally manage the inspection equipment in the sorghum planting area according to the information feedback, so as to improve the inspection reliability and inspection accuracy of the inspection equipment in the sorghum planting area, and further conducts inspection quality comprehensive evaluation and analysis on the inspection image data by means of information feedback, so as to intuitively understand the inspection failure risk of the inspection equipment according to the information feedback, so as to manage in time to ensure the effectiveness of the inspection image in the sorghum planting area, and analyze the disease risk division of the planting area by means of information feedback. On the one hand, targeted management is carried out for each area according to the disease situation to improve the regional management efficiency of the sorghum planting area, and on the other hand, the sorghum planting area is managed in small areas or the entire area according to the proportion of the disease area to reduce the risk of sorghum planting and growth, and the regional inspection cycle control demand evaluation analysis is carried out in a progressive manner, so as to conduct reasonable inspections according to the planting and growth conditions of the sorghum planting area, which helps to always understand the planting conditions of the sorghum planting area, so as to make targeted management to improve the healthy growth of sorghum in the sorghum planting area.

[0067] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0068] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution and the inventive concept of the present invention, make equivalent replacement or change, which should be covered within the protection scope of the present invention.

Claims

1. A sorghum planting area inspection system based on visual detection, characterized in that: It includes a planting area inspection platform, a planting database, an inspection tracking unit, an inspection information unit, a disease classification unit, an inspection matching unit, and an inspection management unit; The planting area inspection platform is used to retrieve the inspection information of the sorghum planting area inspection equipment from the planting database and send the inspection information to the inspection tracking unit; The inspection tracking unit is used to perform inspection deviation risk supervision feedback analysis on the received inspection information, compare and analyze the obtained deviation risk value and the inspection transmission assessment value, and obtain a synchronization signal or a risk signal; The inspection information unit is used to respond to the synchronization signal and collect the inspection image data of the inspection equipment in the sorghum planting area, conduct a comprehensive inspection quality evaluation and analysis on the inspection image data, compare and analyze the inspection failure risk index obtained, and obtain a normal signal or a failure signal; The disease classification unit is used to respond to normal signals and perform disease risk classification analysis on the planting area, discriminate and process the obtained regional disease risk index to obtain normal areas, mild risk areas and severe risk areas, and discriminate and process the obtained regional planting hazard index to obtain range management signals or regional management signals; The inspection matching unit is used to respond to normal signals, and conduct regional inspection cycle control demand assessment and analysis on the obtained normal areas, light risk areas and severe risk areas, and send the obtained regional inspection cycle plan to the inspection management unit.

2. The sorghum planting area inspection system based on visual detection according to claim 1 is characterized in that: The inspection deviation risk supervision feedback analysis process of the inspection tracking unit is as follows: The inspection period of the sorghum planting area is collected and set as a time threshold, and the inspection information of the inspection equipment in the sorghum planting area within the time threshold is obtained, and the inspection information includes the actual inspection route and the inspection transmission evaluation value; Obtain the prescribed inspection route of the inspection equipment in the sorghum planting area, compare and analyze the actual inspection route with the prescribed inspection route, and set the difference between the actual inspection route and the prescribed inspection route as the deviation risk value; The inspection transmission evaluation value indicates the frequency of the duration between the start transmission time and the display time of the inspection privilege image of the sorghum planting area exceeding the preset time; The yaw risk value and the inspection transmission assessment value are compared and analyzed with the preset yaw risk value threshold and the preset inspection transmission assessment value threshold that are internally entered and stored to obtain a synchronization signal or a risk signal.

3. The sorghum planting area inspection system based on visual detection according to claim 1 is characterized in that: The inspection quality comprehensive evaluation and analysis process of the inspection information unit is as follows: The time threshold is divided into i sub-time periods, where i is a natural number greater than zero. The inspection image data of the inspection equipment in the sorghum planting area in each sub-time period is obtained. The inspection image data includes a self-adjustment evaluation value and an image quality evaluation index. The inspection risk assessment coefficient Ki of each sub-time period is obtained according to the formula. The ratio of the sub-time period corresponding to the inspection risk assessment coefficient Ki being greater than or equal to the preset inspection risk assessment coefficient threshold to the total number of sub-time periods is set as the inspection failure risk index. The inspection failure risk index is compared and analyzed to obtain a normal signal or a failure signal.

4. The sorghum planting area inspection system based on visual detection according to claim 3 is characterized in that: The self-adjustment evaluation value represents the average of the self-adjustment response time of the shooting parameters of the inspection equipment in the sorghum-growing area, the shooting parameters include focal length and fill light brightness, and the self-adjustment response time represents the time between the start time of adjustment and the end time of adjustment; the image quality evaluation index represents the frequency at which the value corresponding to the image information of the inspection feature image of the inspection equipment in the sorghum-growing area is lower than the value corresponding to the preset threshold, and the image information includes picture clarity and resolution.

5. The sorghum planting area inspection system based on visual detection according to claim 1 is characterized in that: The disease risk division and analysis process of the planting area of ​​the disease division unit is as follows: The inspection feature image of the sorghum planting area within the time threshold is obtained, and the inspection feature image is preprocessed, the preprocessing includes cropping and scaling, and the normal inspection feature image corresponding to the normal growing sorghum at the current moment is obtained at the same time, and the preprocessed inspection feature image is divided into g sub-region blocks, g is a natural number greater than zero, and the growth risk information of each sub-region block is obtained. The growth risk information includes the number of pests and diseases and the depth of growth damage, and the number of pests and diseases and the growth damage depth that is greater than or equal to the preset pests and diseases number threshold and the preset growth damage depth threshold is obtained, and it is set as the regional disease risk index, and the regional disease risk index is discriminated and processed to obtain normal areas, mild risk areas and severe risk areas.

6. The sorghum planting area inspection system based on visual detection according to claim 5 is characterized in that: The number of pests and diseases represents the sum of the pests staying on the sorghum stems and leaves and the pests in flight in the sub-region block; the growth damage depth represents the ratio between the number of good leaves of the sorghum stems and leaves in the sub-region block and the total number of leaves of the sorghum stems and leaves, and the number of good leaves of the sorghum stems and leaves represents the stems and leaves corresponding to which the difference between the sorghum stem and leaf area and the normal sorghum stem area corresponding to the current moment is lower than the preset threshold.

7. The sorghum planting area inspection system based on visual detection according to claim 6 is characterized in that: The number of sub-areas corresponding to the mild risk area and the severe risk area in the sorghum planting area within the time threshold is obtained, and is set as the regional planting hazard index. The regional planting hazard index is discriminated and processed to obtain a range management signal or a regional management signal.

8. The sorghum planting area inspection system based on visual detection according to claim 1 is characterized in that: The regional inspection cycle control demand evaluation and analysis process of the inspection matching unit is as follows: The corresponding numbers of normal areas, mild risk areas and severe risk areas are set as area state values ​​Qm, where m = 1, 2, 3; The regional status values ​​Qm1…Qmn of the sorghum planting area within n historical time thresholds are obtained, where n is a natural number greater than zero. A rectangular coordinate system is established with the time threshold as the X-axis and the regional status value as the Y-axis. The regional status value Qm curve is drawn by plotting points, and then the change trend value of the regional status value Qm curve is obtained, and they are set as normal trend values, mild trend values, and severe trend values, respectively. The ratio between the sum of the mild trend value and the severe trend value and the normal trend value is set as the regional inspection demand value; The regional inspection demand values ​​are compared and analyzed. If the regional inspection demand value is greater than the preset regional inspection demand value threshold, an inspection control instruction is generated. When the inspection control instruction is generated, the inspection interval duration of the current sorghum planting area is obtained, and the ratio between the regional inspection demand value and the corresponding value of the inspection interval duration is set as the periodic control ratio. The periodic control ratio is compared and analyzed with the preset periodic control ratio interval, thereby obtaining the regional inspection cycle plan corresponding to the periodic control ratio in the corresponding preset periodic control ratio interval.

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