CN-121998788-A - Closed-loop system for identifying diseases, guiding drug administration and agricultural service based on small program

CN121998788ACN 121998788 ACN121998788 ACN 121998788ACN-121998788-A

Abstract

The invention provides a closed-loop system for identifying diseases, guiding drug use and agricultural service based on small programs, which comprises a front-end lightweight application layer, a rear-end intelligent service layer, a data and service support layer and a data and service reservation layer, wherein the front-end lightweight application layer is used for analyzing the personalized control scheme based on a butt-joint agricultural chemical enterprise system, determining recommended products and purchase navigation and responding to user selection, wherein the front-end lightweight application layer is used for acquiring or selecting diseased crop pictures from a user album when an operation request is received through a user interface, receiving context information of diseased crops uploaded by a user, analyzing the diseased crop pictures based on a crop disease and insect pest model, determining the type of diseases and insect pests, comprehensively analyzing the disease crop context information and a built-in agricultural knowledge base to obtain the personalized control scheme. The method is convenient for timely preventing and controlling diseases, reduces economic loss, reduces pesticide abuse by accurate medication, and ensures the quality safety of agricultural products.

Inventors

DONG QIN
LI CHONG
WEI YI
WU WEI
DONG TAOTAO
Miao Xuehui
Xia Kaiyang
WANG WENHUI
SUN HAORAN

Assignees

盐城工学院

Dates

Publication Date: 20260508
Application Date: 20260128

Claims (10)

1. A closed loop disease-recognition-medication guidance-agricultural services system based on an applet, comprising: The front-end lightweight application layer is used for taking a WeChat applet as a carrier, calling a user terminal camera to acquire or select a diseased crop picture from a user album when an operation request is received through a user interface, and receiving context information of uploading the diseased crop by a user; The rear-end intelligent service layer is used for analyzing the diseased crop pictures based on the crop pest model, determining the pest type, and comprehensively analyzing by combining the context information of the diseased crops and the built-in agricultural knowledge base to obtain a personalized control scheme; The data and business supporting layer is used for analyzing the personalized control scheme based on the abutted pesticide enterprise system, determining recommended products and purchasing guide, responding to user selection and triggering an agricultural service reservation request.
2. The applet-based "identify disease-drug guidelines-agricultural services" closed loop system of claim 1, wherein the front-end lightweight application layer comprises: the state monitoring unit is used for monitoring an image acquisition operation request submitted by a user based on a user interface, and sending a camera calling request or a user album access request to the user terminal based on an image acquisition interface of a WeChat applet after the image acquisition operation request is monitored; An image acquisition unit for: After the authorization is called, displaying a view finding frame based on a user interface, and calling background configuration data of a user terminal to carry out self-adaptive adjustment on working parameters of the camera; Monitoring the confirmation and acquisition action of a user on a user interface in real time, and controlling a camera of a user terminal to shoot an image of a current frame when the confirmation and acquisition action is monitored, so as to obtain a diseased crop picture; and after the album access request of the user passes, selecting the diseased crop picture from the user based on the uploading requirement of the user.
3. The applet-based "identify disease-drug guide-agriculture service" closed loop system according to claim 2, wherein the image acquisition unit comprises: An image preprocessing subunit, configured to: Acquiring the obtained diseased crop picture, and acquiring target time information and geographic position of the diseased crop picture when acquiring based on a user terminal; Generating an accessory description of the diseased crop picture based on the target time information and the geographic position, and carrying out association binding on the diseased crop picture and the accessory description; Converting the diseased crop pictures and the attached instructions at different positions into a preset format based on the association binding result; And the data uploading subunit is used for uploading the diseased crop pictures and the attached instructions at different positions to the data center based on the conversion result, monitoring the network state in real time and starting a breakpoint continuous transmission mechanism when the network is abnormal.
4. The applet-based "identify disease-drug guidelines-agricultural services" closed loop system of claim 1, wherein the front-end lightweight application layer comprises: The multi-mode interaction unit is used for providing a multi-mode interaction window for a user based on a user interface and starting a corresponding data stream receiving flow after the user selects, wherein the multi-mode interaction window comprises images, texts and voices; And the context information determining unit is used for controlling the data flow receiving flow to receive the context information submitted by the user to the diseased crop based on the starting result, and packaging the obtained context information and the corresponding diseased crop picture.
5. The applet-based "identify disease-drug guidelines-agricultural services" closed loop system of claim 1, wherein the back-end intelligent service layer comprises: an image calling unit for: Acquiring an obtained diseased crop picture, and simultaneously analyzing configuration parameters of a crop disease and pest model to determine limiting parameters of the crop disease and pest model on an input image; carrying out standard treatment on the diseased crop picture based on the limiting parameters, and inputting the diseased crop picture subjected to the standard treatment into a crop disease and pest model; A plant disease and insect pest analysis unit for: Learning historical data marked with the disease and pest types based on the crop disease and pest model, and adapting the attention weights of different key attention points in image processing based on a learning result to obtain a target attention mechanism; carrying out multi-level feature extraction on the input diseased crop picture based on the crop disease and insect pest model and the target attention mechanism to obtain visual features corresponding to the diseased crop picture, and matching the obtained visual features with reference features of known disease and insect pest types; outputting a diseased crop picture as probability distribution of each known disease and pest type based on the matching result, and judging the known disease and pest type with the probability value exceeding a preset threshold value as the final disease and pest type based on the probability distribution; a personalized control scheme determining unit for: analyzing the context information of the diseased crop, determining the crop type, the growth period and the geographic area corresponding to the diseased crop, and generating a multidimensional condition based on the type, the growth period and the geographic area of the disease crop; And carrying out global scanning on the built-in agricultural knowledge base, extracting structural features of crops, diseases and insect pests, pesticides and control methods in the built-in agricultural knowledge base, and carrying out condition retrieval on the structural features based on multi-dimensional conditions to obtain a personalized control scheme corresponding to the diseased crops.
6. The applet-based "identify disease-drug guidelines-agricultural services" closed loop system of claim 5, wherein the personalized control scheme determining unit comprises: A scheme determination subunit configured to: when the final plant diseases and insect pests are of a single type, acquiring a condition search result of the structural features based on the multidimensional condition, and calling a corresponding basic control scheme based on the condition search result; extracting basic pest quantization indexes corresponding to a basic control scheme, and determining correction amounts of the basic control scheme based on deviation values of multidimensional conditions and the basic pest quantization indexes; Correcting the basic control scheme based on the correction amount to obtain a personalized control scheme corresponding to the diseased crop; When the final plant diseases and insect pests are not of a single type, retrieving a basic control scheme corresponding to each type based on a condition retrieval result of the structural characteristics by using a multidimensional condition; And determining association characteristics among different types of basic control schemes based on structural characteristics of crops, plant diseases and insect pests, pesticides and control methods in a built-in agricultural knowledge base, and carrying out collaborative compatible correction on the basic control schemes corresponding to different types based on the association characteristics to obtain a compound personalized control scheme corresponding to the diseased crops.
7. The applet-based "identify disease-drug guidelines-agricultural services" closed loop system of claim 1, wherein the data and business support layer comprises: the scheme analysis unit is used for analyzing the obtained personalized control scheme, determining key control elements contained in the personalized control scheme, and uploading the obtained key control elements to the abutted pesticide enterprise system; A product determination unit configured to: Carrying out matching priority classification on the key control elements based on the pesticide enterprise system, and calling an integrated product matching engine to sequentially carry out cyclic progressive matching on the key control elements and basic state parameters of products in a product database based on a matching priority classification result; and obtaining recommended products corresponding to the personalized control scheme based on the cyclic progressive matching result.
8. The applet-based "identify disease-drug guidelines-agricultural services" closed loop system of claim 7, wherein the product determining unit comprises: The product information determining subunit is used for tracing the obtained recommended product and determining corresponding product price, inventory, pesticide enterprise information and distribution positions; A purchase guidance generating unit for: Generating an online purchase link according to the product price, the inventory, the pesticide enterprise information and the distribution position based on the docking result with the pesticide enterprise system; Meanwhile, generating an offline supplier location map based on pesticide enterprise information and distribution locations; And packaging the online purchase links and the off-line provider position map to obtain a purchase guide of the recommended product.
9. The applet-based "identify disease-drug guidelines-agricultural services" closed loop system of claim 1, wherein the data and business support layer comprises: The behavior monitoring unit is used for monitoring the selection behavior of the user under the purchase guide in real time based on the user interface and determining the purchase selection requirement of the user, wherein the purchase selection requirement comprises online purchase and offline purchase; an agricultural service unit for: When the purchase selection requirement is online purchase, generating an online order request based on the recommended product, and sending the online order request to a butted pesticide enterprise system to complete online order placement; When the purchase selection requirement is off-line purchase, starting an agricultural service reservation request flow, and receiving a reservation time period selected by a user, submitted user information and requirement details; And generating a reservation request order based on the reservation time period, the user information and the demand details, and sending the reservation request order to a corresponding agricultural service terminal to complete reservation.
10. The applet-based "identify disease-drug guidelines-agricultural services" closed loop system of claim 1, wherein the data and business support layer comprises: the information summarizing unit is used for summarizing the obtained plant diseases and insect pest types, personalized control schemes, recommended products, purchase guide and agricultural service reservation request results; And the information display unit is used for displaying the summarized result on the user interface.

Description

Closed-loop system for identifying diseases, guiding drug administration and agricultural service based on small program Technical Field The invention relates to the technical field of agricultural artificial intelligence, in particular to a closed-loop system for identifying diseases, guiding drug administration and agricultural service based on a small program. Background At present, when facing crop diseases and insect pests, agricultural producers generally rely on personal experience or consult with agricultural technicians to identify and use medicines, and the mode is low in efficiency and difficult to guarantee in accuracy, and although some independent disease and insect pest identification APP or pesticide inquiry tools exist in the prior art, the function is single, and the following technical defects exist: the information island problem is that links such as identification, inquiry, service purchase and the like are mutually split, a user needs to switch among different applications, the operation is complex, data cannot be shared, and an information island is formed; the decision-making intelligent degree is low, most systems only provide simple information matching, lack the capability of integrating multidimensional information to carry out comprehensive reasoning and intelligent decision making, and cannot generate a truly personalized control scheme; service chain breakage, wherein most of the existing schemes stop to give suggestions, and the diagnosis results cannot be effectively connected with the ground implementation links of pesticide purchase, professional agricultural service and the like, so that a complete closed loop for solving the problems cannot be formed; the technical threshold is high, namely independent APP and matched service are needed, the constraint of expensive hardware is difficult to get rid of, and the inconvenience is brought to the operation of a user; Accordingly, to overcome the above-described drawbacks, the present invention provides a "identify disease-drug guidelines-agricultural services" closed loop system based on a small program. Disclosure of Invention The invention provides a closed-loop system based on small program for identifying diseases, guiding drug use and agricultural service, which is used for providing convenient and fast crop disease identification service through a small program for small letter, a user can quickly obtain accurate disease and pest diagnosis and personalized control scheme by shooting pictures of diseased crops and uploading relevant background information, the method can realize 'just-in-time walking', and can automatically recommend proper pesticide products and provide purchase guide by combining a crop disease and pest identification model, a crop disease and pest knowledge base and a pesticide enterprise system, intelligent analysis and big data technology, and simultaneously support agricultural service reservation, realize one-stop closed-loop service from problem identification to solution, remarkably improve the efficiency and accuracy of agricultural production, help farmers timely prevent and control diseases, reduce economic loss, accurately use drugs to reduce pesticide abuse, ensure the quality safety of agricultural products, improve the yield and quality of agricultural products, and promote the digitization and intelligent development of agricultural service. The invention provides a closed-loop system for identifying diseases, guiding drug administration and agricultural service based on small programs, which comprises the following components: The front-end lightweight application layer is used for taking a WeChat applet as a carrier, calling a user terminal camera to acquire or select a diseased crop picture from a user album when an operation request is received through a user interface, and receiving context information of uploading the diseased crop by a user; The rear-end intelligent service layer is used for analyzing the diseased crop pictures based on the crop pest model, determining the pest type, and comprehensively analyzing by combining the context information of the diseased crops and the built-in agricultural knowledge base to obtain a personalized control scheme; The data and business supporting layer is used for analyzing the personalized control scheme based on the abutted pesticide enterprise system, determining recommended products and purchasing guide, responding to user selection and triggering an agricultural service reservation request. Preferably, a closed loop system based on an applet for identifying diseases-medication guidance-agricultural services, a front-end lightweight application layer, comprising: the state monitoring unit is used for monitoring an image acquisition operation request submitted by a user based on a user interface, and sending a camera calling request or a user album access request to the user terminal based on an image acquisition interface of a WeChat a