Traditional Chinese medicinal material planting production safety management system based on intelligent collaboration platform

Abstract

The invention discloses a traditional Chinese medicinal material planting production safety management system based on an intelligent cooperation platform, and the system comprises the steps: collecting traditional Chinese medicinal material growth images through a camera in a traditional Chinese medicinal material planting growth period, carrying out the image recognition of the collected traditional Chinese medicinal material growth images, obtaining the pest data of a planting land, and carrying out the processing and analysis, evaluating the pest and disease damage degree of the traditional Chinese medicinal material planting land and the pest and disease damage degree of affected plants, marking pest and disease damage time periods, processing pest and disease damage and recording processing information; monitoring the pest and disease damage time period, analyzing whether pesticide treatment is needed in the pest and disease damage time period, and if so, performing pesticide treatment on the traditional Chinese medicinal material planting land; after the traditional Chinese medicine planting growth cycle is finished, the pest and disease damage time period, the pest and disease damage data of the pest and disease damage time period and pesticide treatment information are analyzed, and an analysis report is made for the frequent occurrence condition of pest and disease damage types, so that the easily-occurring pest and disease damage types are conveniently prevented when the traditional Chinese medicine is planted subsequently, and the quality of the traditional Chinese medicine is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of Chinese medicinal materials planting and production, and in particular to a Chinese medicinal materials planting and production safety management system based on an intelligent collaborative platform. Background Art

[0002] As an important part of traditional Chinese medicine, the safety management of Chinese herbal medicine during its planting and production is extremely important. However, traditional Chinese herbal medicine planting and management methods mostly rely on manual experience and intuitive judgment, and there are problems such as low management efficiency, untimely prevention and control of pests and diseases, and irregular use of pesticides. With the rapid development of information technology and the widespread application of intelligent collaborative platforms, the safety management of Chinese herbal medicine planting and production has ushered in new opportunities.

[0003] In the existing technology, traditional Chinese medicinal materials planting management mainly relies on the personal experience and intuitive judgment of the growers, lacks scientific data support and precise management methods, and in terms of pest and disease monitoring, manual inspections are usually adopted, which is inefficient and easy to miss; in the use of pesticides, there is often a lack of scientific guidance on medication and precise dosage control, resulting in excessive pesticide residues, reduced medicinal value and safety of Chinese medicinal materials, environmental pollution and other problems. In recent years, intelligent collaborative platform technology has been applied to the field of Chinese medicinal materials planting to a certain extent, such as monitoring soil moisture, temperature, light and other environmental factors through sensors, providing certain data support for the growth of Chinese medicinal materials. However, most of these applications remain at the data collection level, lack of effective analysis and utilization of data, and cannot achieve comprehensive and safe management of Chinese medicinal materials planting and production, and cannot use image recognition technology to achieve real-time monitoring and identification of pests and diseases. At the same time, traditional pest and disease monitoring methods have lags and inaccuracies, and cannot detect and deal with pest and disease problems in a timely manner. There is also a lack of scientific early warning mechanisms, and it is impossible to effectively prevent potential pest and disease risks.

[0004] In view of the above problems, the present invention proposes a Chinese medicinal material planting and production safety management system based on an intelligent collaborative platform. Summary of the invention

[0005] The object of the present invention is to provide a Chinese medicinal material planting and production safety management system based on an intelligent collaborative platform to solve at least one of the above-mentioned prior art problems.

[0006] The present invention provides a Chinese medicinal material planting and production safety management system based on an intelligent collaborative platform, comprising the following modules: Information collection and identification module: several detection time points are set during the growth cycle of Chinese medicinal materials. The growth images of Chinese medicinal materials are collected through cameras at the detection time points. The collected growth images of Chinese medicinal materials are grouped into a detection image group and image recognition is performed to obtain the pest and disease data of the planting site. Pest and disease analysis and processing module: Process and analyze the pest and disease data at each detection time point in the growth cycle of Chinese medicinal materials, evaluate the degree of pest and disease in the Chinese medicinal materials planting area and the degree of pest and disease in the damaged plants, mark the pest and disease period according to the evaluation results, and deal with the pest and disease; Time period analysis and processing module: monitor the pest and disease periods, stop the pest and disease periods that cannot be ended, and when more than one pest and disease period occurs, analyze the interval between adjacent pest and disease periods and the similarity of the pest and disease types contained in the two pest and disease periods, and determine whether to generate a pesticide control signal based on the analysis results; Pesticide management module: pesticide management of Chinese medicinal materials planting areas based on pesticide management signals; Pest and disease frequency analysis module: After the Chinese medicinal materials planting and growth cycle is over, the pest and disease periods within the planting and growth cycle, the pest and disease data and pesticide control information of the pest and disease periods are analyzed, the quality of the Chinese medicinal materials batches is estimated based on the analysis results, and an analysis report is made on the frequency of pest and disease types.

[0007] Beneficial effects of the present invention: 1. Real-time collection of Chinese medicinal material growth images by cameras and processing of the collected images using image recognition technology can accurately identify the types and degrees of pests and diseases. This not only improves the accuracy of pest and disease management, but also makes the treatment measures more targeted, avoiding unnecessary use of pesticides and waste of resources. The identified pest and disease data are uploaded to the intelligent collaborative platform to achieve centralized management and intelligent analysis of data, mark the pest and disease time period, and record the treatment information while treating the pests and diseases. This not only facilitates subsequent tracking and evaluation of the treatment effect, but also provides valuable experience and reference for future pest and disease prevention and control work.

[0008] 2. Monitor the pest and disease time periods, and analyze the intervals between adjacent time periods and the similarity of pest and disease types to determine whether pesticide control is needed in the Chinese medicinal materials planting areas. This achieves precise and scientific use of pesticides, effectively reduces the number of unnecessary pesticide uses, and reduces the risk of pesticide residues. At the same time, recording pesticide control information provides data support for subsequent pest and disease control, ensures the safety and medicinal value of Chinese medicinal materials, and promotes the sustainable development of the Chinese medicinal materials industry.

[0009] 3. After the Chinese medicinal materials planting and growth cycle is over, the comprehensive analysis of the pest and disease period, pest and disease data and pesticide control information can estimate the batch quality of Chinese medicinal materials and provide a scientific basis for the quality control of Chinese medicinal materials. At the same time, the generated pest and disease frequency analysis report helps to identify the types of pests that are prone to diseases, so as to take targeted preventive measures in subsequent planting, effectively reduce the occurrence of pests and diseases, and ensure the quality and safety of Chinese medicinal materials. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0011] Figure 1 It is a flowchart of a Chinese medicinal material planting and production safety management system based on an intelligent collaborative platform provided by an embodiment of the present invention; Figure 2 This is a flowchart of the steps of evaluating the degree of pests and diseases of damaged plants in a Chinese medicinal material planting and production safety management system based on an intelligent collaborative platform provided in the first embodiment of the present invention; Figure 3 It is a flow chart of the steps for generating pesticide control signals in a Chinese medicinal material planting production safety management system based on an intelligent collaborative platform provided in Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0012] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings 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 should fall within the scope of protection of the present invention.

[0013] Embodiment 1 like Figure 1 As shown, an embodiment of the present invention provides a Chinese medicinal material planting production safety management system based on an intelligent collaborative platform, including: Information collection and identification module: During the growth cycle of Chinese medicinal materials, the growth images of Chinese medicinal materials are collected through cameras, and the pest and disease data of the planting site are obtained by image recognition of the collected growth images of Chinese medicinal materials. The pest and disease data include the coordinates of the affected plants, the number of pest and disease manifestation areas in the plants, the area of ​​the pest and disease manifestation areas and the types of pests and diseases, and the obtained pest and disease data are uploaded to the intelligent collaborative platform; Specifically, the Chinese medicinal material planting area is evenly divided into a number of sub-areas, two camera points are set for each sub-area, and the camera points are composed of a camera and a column for adjusting the height of the camera, ensuring that the shooting directions of the two camera points are relative and the shooting ranges can cover the entire sub-area. Based on any detection time point, the sub-area is photographed at the detection time point through the set camera points, and the growth images of the Chinese medicinal materials in the sub-areas photographed are grouped into a sub-area image group, and the sub-area image groups of all sub-areas of the Chinese medicinal material planting area are grouped into a detection image group. The detection time point represents the time node for starting to analyze the growth of the Chinese medicinal materials. In the growth cycle of the Chinese medicinal materials, the interval between any two detection points is the same. A large number of images of Chinese medicinal materials pests and diseases are obtained from the network as training sample images, and the training sample images are processed into grayscale images through image processing. The feature maps composed of the features of each pixel in the grayscale image are obtained for the grayscale image. These feature maps include LBP feature maps, gradient amplitude feature maps and gradient direction feature maps. The initial parameters of each network layer of the deep convolutional neural network (DCNN) and the classifier are set. The classifier is composed of a multi-layer perceptron (MLP) and SOFTMAX. The obtained grayscale image and feature map are input into the deep convolutional neural network to extract the deep convolution features of the training sample image, and these features are input into the classifier. The classifier will output the forward prediction result of the system, and the predicted output of the classifier is compared with the actual label of the training sample image to calculate the error. The parameters of the deep convolutional neural network and the classifier are updated according to the error back-propagation mechanism. Multiple training sample images are trained multiple times until the error is less than a predetermined value, and a deep learning image recognition system for Chinese medicinal materials pests and diseases that has been trained is obtained. The Chinese medicinal material growth images in the detection image group are identified by the trained deep learning image recognition system, and the Chinese medicinal material plants in the disease and insect pest manifestation area identified in each Chinese medicinal material growth image are marked as damaged plants, and the coordinates (x, y) are marked for the damaged plants, where x represents the row number of the plant in the Chinese medicinal material planting area, and y represents the column number of the plant in the Chinese medicinal material planting area; Uploading the obtained pest and disease data of the Chinese medicinal material planting area to the intelligent collaborative platform, wherein the pest and disease data includes the coordinates of the affected plants, the number of pest and disease manifestation areas in the plants, the area of ​​the pest and disease manifestation areas, and the types of pests and diseases; Pest and disease analysis and processing module: obtain pest and disease data at the detection time point during the growth cycle of Chinese medicinal materials, process and analyze the pest and disease data, evaluate the degree of pest and disease in the Chinese medicinal materials planting area and the degree of pest and disease in the damaged plants, mark the pest and disease period according to the evaluation results, treat the pest and disease and record the treatment information; Specifically, based on any detection image group; Obtain the number of damaged plants identified based on the detection image group in the Chinese medicinal material planting area, and perform ratio processing on the number of damaged plants with the total number of Chinese medicinal material plants in the planting area to obtain the damaged plant number ratio, and compare the damaged plant number ratio with the damaged plant number ratio threshold. If the damaged plant number ratio is greater than the damaged plant number ratio threshold, a severe pest and disease signal is generated; like Figure 2 As shown, the specific method of evaluating the degree of pests and diseases of the affected plants is: Analyze the damaged plants identified in the detection image group. Based on any damaged plant, obtain the overlapping area of ​​the damaged plant's pest and disease manifestation area in the Chinese medicinal material growth image and the Chinese medicinal material's effective medicinal area, and perform ratio processing on it with the total area of ​​the damaged plant in the image to obtain the pest and disease focus ratio. Sum and average the two pest and disease focus ratios in the sub-region image group to obtain the mean of the pest and disease focus ratio, which is marked as BS. The area of ​​the pest and disease manifestation area of ​​the damaged plant in the growth image of the Chinese medicinal material is obtained, and the ratio is processed with the total area of ​​the damaged plant in the image to obtain the pest and disease area ratio. The two pest and disease area ratios in the sub-region image group are summed and averaged to obtain the mean of the pest and disease area ratio, which is marked as BC. The obtained mean value of the pest and disease focus ratio BS and the mean value of the pest and disease area ratio BC were processed and the formula The pest and disease severity value XB is obtained, where a1 and a2 are both preset proportional coefficients, a1=4.27, a2=1.12; Compare the obtained pest and disease severity value with the pest and disease severity threshold; If the pest and disease severity value of the damaged plant is less than or equal to the pest and disease severity threshold, the plant is judged to have a light pest and disease severity and is marked as a lightly damaged plant; If the pest and disease severity value of the damaged plant is greater than the pest and disease severity threshold, the plant is judged to be severely pest and disease-damaged and is marked as a severely damaged plant; Take a Flag value and assign its initial value to 0. Based on any detection image group, if a severe pest and disease signal is generated or there are severely damaged plants in the Chinese medicinal material planting area, and the Flag value is 0, a pest and disease treatment signal is generated and the Flag value is set to 1, and the period when the Flag is 1 is marked as the pest and disease period; If no severe pest signal is generated and there are no severely damaged plants in the Chinese medicinal material planting area, it is determined that the pest phenomenon in the Chinese medicinal material planting area at the corresponding detection time point does not need to be processed, and the Flag value is set to 0, waiting for the next detection time point in the growth cycle to shoot and identify the Chinese medicinal material planting area; It should be noted that the purpose of setting the Flag value is to mark the starting and ending points of the pest and disease period; Based on the generated pest and disease treatment signals, arrange planting personnel to treat the damaged plants according to the coordinates of the damaged plants in the intelligent collaborative platform. For the marked lightly damaged plants, remove the plant's pest and disease area. For the marked severely damaged plants, dig up all the plants, and burn the removed parts and dug up plants together. Clean up the Chinese medicinal material planting area to prevent the spread of pests and diseases and affect the normal growth of Chinese medicinal materials. Record the treatment information and upload it to the intelligent collaborative platform for easy reference and analysis. The technical solution of the embodiment of the present invention is: during the growth cycle of Chinese medicinal materials planting, the growth images of Chinese medicinal materials are collected by a camera, the pest and disease data of the planting site are obtained by performing image recognition on the collected growth images of Chinese medicinal materials, and the obtained pest and disease data are uploaded to an intelligent collaborative platform; the pest and disease data are processed and analyzed, the degree of pest and disease in the Chinese medicinal materials planting site and the degree of pest and disease in the affected plants are evaluated, the pest and disease period is marked according to the evaluation results, the pests and diseases are processed and the processing information is recorded.

[0014] Embodiment 2 like Figure 1 As shown, an embodiment of the present invention provides a Chinese medicinal material planting production safety management system based on an intelligent collaborative platform, which also includes: Time period analysis and processing module: monitor the pest and disease period, stop the pest and disease period that cannot be ended, and when more than one pest and disease period occurs, analyze the interval between adjacent pest and disease periods and the similarity of the pest and disease types contained in the two pest and disease periods. According to the monitoring and analysis results, determine whether pesticide control is needed at present. If necessary, generate a pesticide control signal; Specifically, the pest and disease period is monitored. When the Chinese medicinal material planting area is in the pest and disease period, the duration of the pest and disease period is obtained and compared with the duration threshold. When the duration of the pest and disease period is equal to the duration threshold, the Flag value is set to 0 to stop the pest and disease period, and the pest and disease period is marked as an abnormal pest and disease period; It should be noted that the reason for the occurrence of the abnormal pest and disease period is that the removal of the affected plants did not achieve the expected effect of pest and disease control, and a large-scale pest and disease outbreak occurred in the Chinese medicinal material planting area before the next detection time point, resulting in the inability to stop the pest and disease period and determine whether the Chinese medicinal material planting area needs to carry out the next pest and disease treatment; like Figure 3 As shown, the specific steps of generating the pesticide control signal are: When the pest and disease period ends, if the duration of the pest and disease period is less than the duration threshold, the number of times the Chinese medicinal material planting area generates pest and disease treatment signals is obtained; If the number of times the pest and disease processing signal is generated is greater than 1, the interval between the current normal pest and disease period and the previous pest and disease period on the Chinese medicinal material planting ground is obtained, and the interval is compared with the interval threshold, where the interval represents the interval between the time node at the end of the previous pest and disease period and the time node at the beginning of the current normal pest and disease period, and the interval threshold is greater than the interval between two adjacent detection time points; If the interval duration is greater than the interval duration threshold, it is judged that the possibility of correlation between the two pest and disease periods is small; If the interval time is less than or equal to the interval time threshold, it is judged that the two pest time periods are likely to be correlated, and a pest type analysis signal is generated; Based on the generated pest and disease type analysis signal, the pest and disease types of the damaged plants identified in the two pest and disease time periods are obtained, and the pest and disease types of all the damaged plants identified in the two pest and disease time periods are respectively grouped into a multiset; Analyze the two multisets, and construct a feature space based on all the pests and diseases that appear in the two multisets. For each multiset, construct a corresponding vector according to the number of times the pests and diseases it contains appear in the feature space. The vector constructed by the multiset of pests and diseases in the current pest and disease period is marked as DC, and the multiset constructed by the pests and diseases in the previous pest and disease period is marked as SY. Through the cosine similarity formula The cosine of the angle between the two vectors, cos(θ), is calculated, which is the cosine similarity between the two vectors. Compare the obtained cosine similarity with the similarity threshold; If the cosine similarity is less than or equal to the similarity threshold, it means that the similarity of the pests and diseases types of the damaged plants identified in the two pest and disease periods is small, and the correlation between the two pest and disease periods is low. It is judged that the Chinese medicinal material planting area does not need to use pesticides for treatment; If the cosine similarity is greater than the similarity threshold, it means that the types of pests and diseases of the affected plants identified in the two pest and disease periods are highly similar, and the two pest and disease periods are highly correlated. It is judged that the Chinese medicinal material planting area needs to be treated with pesticides, and a pesticide treatment signal is generated; It should be noted that the reason for the two pest and disease periods with similar time intervals and high similarity in pest and disease types is that the treatment methods for pests and diseases in the previous pest and disease period did not achieve the expected effect, resulting in the recurrence of the same type of pests and diseases. At this time, the original treatment methods can no longer solve the pest and disease situation in the Chinese medicinal materials planting area. Therefore, it is necessary to spray pesticides on the Chinese medicinal materials planting area to achieve strong suppression of pests and diseases. Pesticide management module: Based on the generated pesticide management signals, pesticide management is carried out on the Chinese medicinal materials planting areas and pesticide management information is recorded; Specifically, based on the generated pesticide management signal, the number of pesticide spraying in the current Chinese medicinal material planting growth cycle is obtained. If the number of pesticide spraying is less than the preset number threshold, the appropriate pesticide is selected according to the identified pest and disease types, and the pesticide is diluted into a solution according to the safe use instructions of the pesticide and sprayed on the Chinese medicinal material planting area; It should be noted that the reason for limiting the number of times pesticides are sprayed is that excessive pesticides will not only reduce the medicinal effects of Chinese medicinal materials, but also cause toxic substances to accumulate inside the Chinese medicinal materials, leading to safety problems for the Chinese medicinal materials. Therefore, the use of pesticides should be treated with caution during the cultivation of Chinese medicinal materials. When the number of pesticide sprayings reaches the preset threshold, a serious pest warning signal is generated, and planting experts are arranged to conduct professional analysis and treatment of the pest situation in the Chinese medicinal material planting area; Recording pesticide management information, including the number of times pesticides are sprayed during the growth cycle of Chinese medicinal materials and the generated serious pest and disease warning signals and treatment results; The technical solution of the embodiment of the present invention is: to monitor the pest and disease period, stop the pest and disease period that cannot be ended, and when more than one pest and disease period occurs, analyze the interval length of adjacent pest and disease periods and the similarity of the pest and disease types contained in the two pest and disease periods, and judge whether pesticide control is currently needed based on the monitoring and analysis results. If necessary, a pesticide control signal is generated, and based on the generated pesticide control signal, pesticide control is carried out on the Chinese medicinal material planting area and the pesticide control information is recorded.

[0015] Embodiment 3 like Figure 1 As shown, an embodiment of the present invention provides a Chinese medicinal material planting production safety management system based on an intelligent collaborative platform, which also includes: Pest and disease frequency analysis module: After the Chinese medicinal materials planting growth cycle is over, the analysis and processing information within the planting growth cycle is obtained, and the analysis and processing information includes the pest and disease period within the planting growth cycle, the pest and disease data and pesticide control information of the pest and disease period, and the quality of the Chinese medicinal materials batch is estimated based on the analysis and processing information, and an analysis report is made on the frequency of pest and disease types; Specifically, after the Chinese medicinal materials planting and growth cycle is over, the pest and disease periods and pesticide spraying records within the planting and growth cycle are analyzed; The sum of the duration of all pests and diseases during the planting growth cycle is obtained, and the total duration of the planting growth cycle is processed as a ratio to obtain the pests and diseases duration ratio, which is marked as HS. The number of pesticide spraying times during the planting growth cycle is obtained, and the ratio is processed with the preset number threshold to obtain the pesticide number ratio, which is marked as NC. The obtained pest duration ratio HS and pesticide frequency ratio NC are processed and the formula The growth health value SC of the planting growth cycle is obtained, wherein b1 and b2 are both preset proportional coefficients, b1=1.37, b2=3.41; Compare the obtained growth health value with the growth health value threshold; If the growth health value of the planting growth cycle is greater than the growth health value threshold, it means that the planting growth status of the Chinese medicinal materials is healthy, and the batch of Chinese medicinal materials is marked as an estimated high-quality batch; If the growth health value of the planting growth cycle is less than or equal to the growth health value threshold, it means that the Chinese medicinal materials are frequently infected with diseases and insect pests during the planting growth cycle, and the batch of Chinese medicinal materials is marked as an estimated low-quality batch; Analyze the marked estimated low-quality batches to obtain the types of pests and diseases in all pest and disease periods during the planting and growth cycle of Chinese medicinal materials; Based on any pest type, obtain the number of pest periods in which the pest type appears during the planting growth cycle, and perform ratio processing on it with the total number of pest periods in the planting growth cycle to obtain the occurrence period ratio of the pest type in the planting growth cycle, marked as XD; In the pest period when the pest type appears in the planting growth cycle, the number of damaged plants with the pest type is obtained, and the ratio is processed with the total number of damaged plants in the period to obtain the plant ratio of the pest type in the pest period. The plant ratios of all pest periods when the pest type appears are summed and averaged to obtain the average plant ratio of the pest type in the planting growth cycle, which is marked as XZ; The obtained emergence period ratio XD and the mean value of the emergence plant ratio XZ were processed and the formula The frequency coefficient DZ of the pest and disease type is obtained, where s1 and s2 are both preset proportional coefficients, s1=1.129, s2=2.416; Obtain the frequency coefficients of all pests and diseases that occur during the growth cycle of Chinese medicinal materials, sort the pest and disease types from large to small according to the frequency coefficients and write them into the pest and disease frequency analysis report in sequence, and upload the pest and disease frequency analysis report to the intelligent collaborative platform for easy reference and analysis; It should be noted that the purpose of the pest and disease frequency analysis report is to record the types of pests and diseases that are prone to occur in Chinese medicinal materials planted on a piece of Chinese medicinal materials planting land, so as to facilitate the prevention of the types of pests and diseases that are prone to occur when planting Chinese medicinal materials in the future, reduce the number of times pesticides are used, and ensure the safety and medicinal value of Chinese medicinal materials; The technical solution of the embodiment of the present invention is: after the Chinese medicinal material planting growth cycle is completed, the pest and disease period within the planting growth cycle, the pest and disease data and pesticide control information of the pest and disease period are analyzed, and the batch quality of the Chinese medicinal materials is estimated according to the analysis results, and an analysis report is made on the frequency of pest and disease types, so as to facilitate the prevention of susceptible pest and disease types during the subsequent planting of Chinese medicinal materials and ensure the quality of Chinese medicinal materials.

[0016] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0017] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A Chinese medicinal material planting and production safety management system based on an intelligent collaborative platform, characterized in that: Includes the following modules: Information collection and identification module: several detection time points are set during the growth cycle of Chinese medicinal materials. The growth images of Chinese medicinal materials are collected through cameras at the detection time points. The collected growth images of Chinese medicinal materials are grouped into a detection image group and image recognition is performed to obtain the pest and disease data of the planting site. Pest and disease analysis and processing module: Process and analyze the pest and disease data at each detection time point in the growth cycle of Chinese medicinal materials, evaluate the degree of pest and disease in the Chinese medicinal materials planting area and the degree of pest and disease in the damaged plants, mark the pest and disease period according to the evaluation results, and deal with the pest and disease; Time period analysis and processing module: monitor the pest and disease periods, stop the pest and disease periods that cannot be ended, and when more than one pest and disease period occurs, analyze the interval between adjacent pest and disease periods and the similarity of the pest and disease types contained in the two pest and disease periods, and determine whether to generate a pesticide control signal based on the analysis results; Pesticide management module: pesticide management of Chinese medicinal materials planting areas based on pesticide management signals; Pest and disease frequency analysis module: After the Chinese medicinal materials planting and growth cycle is over, the pest and disease periods within the planting and growth cycle, the pest and disease data and pesticide control information of the pest and disease periods are analyzed, the quality of the Chinese medicinal materials batches is estimated based on the analysis results, and an analysis report is made on the frequency of pest and disease types.

2. According to claim 1, a Chinese medicinal material planting and production safety management system based on an intelligent collaborative platform is characterized in that: The specific method for obtaining the pest and disease period is as follows: Take a Flag value and assign its initial value to 0. Based on any detection image group, if a severe pest and disease signal is generated or there are severely damaged plants in the Chinese medicinal material planting area, and the Flag value is 0, a pest and disease treatment signal is generated and the Flag value is set to 1, and the period when the Flag is 1 is marked as the pest and disease period; If no severe pest and disease signal is generated and there are no severely damaged plants in the Chinese medicinal material planting area, it is determined that the pest and disease phenomenon in the Chinese medicinal material planting area at the corresponding detection time point does not need to be processed, and the Flag value is set to 0, waiting for the next detection time point in the growth cycle to photograph and identify the Chinese medicinal material planting area.

3. According to claim 2, a Chinese medicinal material planting and production safety management system based on an intelligent collaborative platform is characterized in that: The specific method of obtaining the severe pest and disease signal is as follows: Based on any detection image group, the number of damaged plants identified based on the detection image group in the Chinese medicinal material planting area is obtained, and the ratio is processed with the total number of Chinese medicinal material plants in the planting area to obtain the damaged plant number ratio, and the damaged plant number ratio is compared with the damaged plant number ratio threshold. If the damaged plant number ratio is greater than the damaged plant number ratio threshold, a severe disease and insect pest signal is generated.

4. According to claim 2, a Chinese medicinal material planting and production safety management system based on an intelligent collaborative platform is characterized in that: The specific method for obtaining the severely damaged plants is: Compare the obtained pest and disease severity value with the pest and disease severity threshold; If the pest and disease severity value of the damaged plant is greater than the pest and disease severity threshold, the plant is judged to have a severe pest and disease severity and is marked as a severely damaged plant.

5. According to claim 4, a Chinese medicinal material planting and production safety management system based on an intelligent collaborative platform is characterized in that: The specific method for obtaining the pest and disease severity value is as follows: Analyze the damaged plants identified in the detection image group. Based on any damaged plant, obtain the overlapping area of ​​the damaged plant's pest and disease manifestation area in the Chinese medicinal material growth image and the Chinese medicinal material's effective medicinal area, and perform ratio processing on it with the total area of ​​the damaged plant in the image to obtain the pest and disease focus ratio. Sum and average the two pest and disease focus ratios in the sub-region image group to obtain the mean of the pest and disease focus ratio, which is marked as BS. The area of ​​the pest and disease manifestation area of ​​the damaged plant in the growth image of the Chinese medicinal material is obtained, and the ratio is processed with the total area of ​​the damaged plant in the image to obtain the pest and disease area ratio. The two pest and disease area ratios in the sub-region image group are summed and averaged to obtain the mean of the pest and disease area ratio, which is marked as BC. The obtained mean value of the pest and disease focus ratio BS and the mean value of the pest and disease area ratio BC were processed and the formula The pest and disease severity value XB is obtained, where a1 and a2 are both preset proportional coefficients.

6. According to claim 1, a Chinese medicinal material planting and production safety management system based on an intelligent collaborative platform is characterized in that: The specific method of stopping the pest and disease period that cannot be ended is: Monitor the pest and disease period. When the Chinese medicinal material planting area is in the pest and disease period, obtain the duration of this pest and disease period and compare it with the duration threshold. When the duration of the pest and disease period is equal to the duration threshold, set the Flag value to 0 to stop the pest and disease period and mark the pest and disease period as an abnormal pest and disease period.

7. According to claim 1, a Chinese medicinal material planting and production safety management system based on an intelligent collaborative platform is characterized in that: The specific method of obtaining the pesticide control signal is: Based on the generated pest and disease type analysis signal, the pest and disease types of the damaged plants identified in the two pest and disease time periods are obtained, and the pest and disease types of all the damaged plants identified in the two pest and disease time periods are respectively grouped into a multiset; Analyze the two multisets, construct a feature space based on all the pests and diseases that appear in the two multisets, and for each multiset, construct a corresponding vector according to the number of times the pests and diseases it contains appear in the feature space; Through the cosine similarity formula Calculate the cosine similarity between the two vectors, and compare the obtained cosine similarity with the similarity threshold; If the cosine similarity is greater than the similarity threshold, it means that the types of pests and diseases of the affected plants identified in the two pest and disease periods are very similar, and the two pest and disease periods are highly correlated. It is judged that the Chinese medicinal material planting area needs to be treated with pesticides, and a pesticide treatment signal is generated.

8. According to claim 7, a Chinese medicinal material planting and production safety management system based on an intelligent collaborative platform is characterized in that: The specific method of obtaining the pest and disease type analysis signal is as follows: When the pest and disease period ends, if the duration of the pest and disease period is less than the duration threshold, the number of times the pest and disease treatment signal is generated in the Chinese medicinal material planting area is obtained; If the number of times the pest and disease processing signal is generated is greater than 1, the interval between the current normal pest and disease period and the previous pest and disease period on the Chinese medicinal material planting ground is obtained, and the interval is compared with the interval threshold, where the interval represents the interval between the time node at the end of the previous pest and disease period and the time node at the beginning of the current normal pest and disease period, and the interval threshold is greater than the interval between two adjacent detection time points; If the interval duration is less than or equal to the interval duration threshold, it is judged that the two pest and disease time periods are likely to be correlated, and a pest and disease type analysis signal is generated.

9. According to claim 1, a Chinese medicinal material planting and production safety management system based on an intelligent collaborative platform is characterized in that: The specific method of making an analysis report on the frequency of pests and diseases is as follows: Analyze the marked estimated low-quality batches to obtain the types of pests and diseases in all pest and disease periods during the growth cycle of Chinese medicinal materials; Based on any pest type, obtain the number of pest periods in which the pest type appears during the planting growth cycle, and perform ratio processing on it with the total number of pest periods in the planting growth cycle to obtain the occurrence period ratio of the pest type in the planting growth cycle, marked as XD; In the pest period when the pest type appears in the planting growth cycle, the number of damaged plants with the pest type is obtained, and the ratio is processed with the total number of damaged plants in the period to obtain the plant ratio of the pest type in the pest period. The plant ratios of all pest periods when the pest type appears are summed and averaged to obtain the average plant ratio of the pest type in the planting growth cycle, which is marked as XZ; The obtained emergence period ratio XD and the mean value of the emergence plant ratio XZ were processed and the formula Obtain the frequency coefficient DZ of the pest and disease type, where s1 and s2 are both preset proportional coefficients; Obtain the frequency coefficients of all types of pests and diseases that appear during the growth cycle of Chinese medicinal materials, sort the types of pests and diseases from large to small according to the frequency coefficients and write them into the pest and disease frequency analysis report in sequence, and upload the pest and disease frequency analysis report to the intelligent collaborative platform.

10. The Chinese medicinal materials planting and production safety management system based on an intelligent collaborative platform according to claim 9, characterized in that: The specific method for obtaining the estimated low-quality batch is: After the Chinese medicinal material planting and growth cycle is completed, the sum of the duration of all pests and diseases during the planting and growth cycle is obtained, and the total duration of the planting and growth cycle is processed as a ratio to obtain the pest and disease duration ratio, marked as HS, and the number of pesticide spraying during the planting and growth cycle is obtained, and the ratio is processed with the preset number threshold to obtain the pesticide number ratio, marked as NC; The obtained pest duration ratio HS and pesticide frequency ratio NC are processed and the formula The growth health value SC of the planting growth cycle is obtained, wherein b1 and b2 are both preset proportional coefficients; Compare the obtained growth health value with the growth health value threshold; If the growth health value of the planting growth cycle is less than or equal to the growth health value threshold, it means that the Chinese medicinal materials have frequent diseases and insect pests during the planting growth cycle, and the batch of Chinese medicinal materials is marked as an estimated low-quality batch.

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