Horticultural plant pest diagnosis and treatment expert system

Abstract

The invention discloses a horticultural plant pest diagnosis and treatment expert system. The system comprises a basic information module, an auxiliary function module and a management module; 177 kinds of plant diseases and insect pests which occur on horticultural plants are arranged in the basic information module, and the basic information module is divided into six parts, namely cruciferae diseases and pests, solanaceae diseases and pests, cucurbitaceae diseases and pests, rosaceae diseases and pests, grape diseases and pests, other fruit and vegetable diseases and pests; the auxiliary function module comprises an expert answer, a visiting message board and a contact module, a user can communicate with an expert through the contact module, and direct consultation with the expert is achieved; the management module enters an editing mode and conducts updating and adding on a knowledge base by inputting manager commands. According to the horticultural plant pest diagnosis and treatment expert system, the image identified expert system is adopted, the system further has inquiring and browsing functions, the system capacity is moderate, the 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 diagnosing and treating pests of horticultural crops. 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, the "vegetable pest and disease auxiliary diagnosis and control system" that has entered the practical stage generally 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 rapid diagnosis and treatment ...

AI Technical Summary

Problems solved by technology

[0003] At present, the "vegetable pest and disease auxiliary diagnosis and control system" that has entered the practical stage generally 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

Images