Diagnosis and treatment expert system of cash crop diseases and insect pests

Abstract

The invention discloses a diagnosis and treatment expert system of cash crop diseases and insect pests. The system includes a basic information module, wherein 71 types of the diseases and the insect pests occurring on cash crops are provided in the basic information module, and divided into two parts of soybean diseases and pests and other cash crop diseases and pests; an auxiliary function module, wherein the auxiliary function module includes expert question-answering, a visiting message board and a contact module, a user can communicate with an expert through the contact module to realize direct consultation of the expert, and thus obtain a more direct and higher-quality service, and comments and suggestions from the user can be collected through visiting message board to perfect the system; and a management module, which is used for entering, through inputting a manager password, an edit mode to carry out updating and addition on a knowledge base. According to the image-identifying-type expert system adopted in the invention, querying and browsing functions are combined, the system capacity is moderate, a design is scientific and reasonable, and the system is dynamic and can be updated in real time.

Description

technical field [0001] The invention relates to the field of agriculture, in particular to an expert system for diagnosis and treatment of economic crop diseases and insect pests. Background technique [0002] According to the relevant agricultural expert systems that have been reported, there are three kinds of expert systems involved in the diagnosis and treatment of cultivated plant pests: query browsing system, image identification system and rule-based diagnosis and treatment system. [0003] At present, only "vegetable pest and disease auxiliary diagnosis and control system" has entered the practical stage and is similar to it, which has the following objective shortcomings: 1. The knowledge base is huge. Including 2167 pests and diseases of 103 kinds of vegetables in 15 categories such as melons and solanaceous fruits, each pest has 5-30 images and a large amount of text information. Such a huge database takes up a lot of space, and it is also not conducive to the ra...

AI Technical Summary

Problems solved by technology

[0003] At present, only "vegetable pest and disease auxiliary diagnosis and control system" has entered the practical stage and is similar to it, which has the following objective shortcomings: 1. The knowledge base is huge

Such a huge database takes up a lot of space, and it is not conducive to users to quickly diagnose and treat harmful organisms

2. Images and text information are redundant, and users are not very targeted

All collected images and text information are used and put on the same page, so that various users such as agricultural technicians, farmers, plant protection researchers and professional technicians cannot quickly find the knowledge points they need

3. The threshold is high

The content cannot be updated at any time according to changes in production diseases, insect pests and pesticides used

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