Construction and service method for vegetable insect pest diagnosis expert system

Abstract

With frequent occurrence and severe harm of vegetable insect pests, agricultural benefits are reduced and consumer health is threatened because of improper insect pest diagnosis and control measures. The improvement of insect pest control level can guarantee large-scale plantation, high yield and high quality of vegetables, and an insect pest diagnosis expert system can assist in diagnosing insect pests and relieving the contradiction of low quality of agricultural planting personnel and insufficient plant protection experts. Aiming at vegetable insect pest occurrence characteristics, by simulating an analysis mode of insect pest diagnosis of plant protection experts, fully considering ways of thinking of users and adopting a case-based reasoning mechanism, an insect pest diagnosis expert system constructing method comprising contents of new case generation, case library construction, insect pest symptom weight calculation, case retrieval and match, human-machine interactive interface and the like is created and a vegetable insect pest diagnosis expert system taking the method as a core is constructed. Moreover, due to an online edition, a standalone version and a personal digital assistant (PDA) version of the vegetable insect pest diagnosis expert system, multi-channel insect pest diagnosis information technical service is provided for users with different requirements.

Description

technical field [0001] "Construction and diagnosis method of expert system for diagnosis of vegetable diseases and insect pests" belongs to the field of modern agricultural technology. Background technique [0002] Vegetable pests and diseases occur frequently and the damage is aggravated. Improper diagnosis and control measures of pests and diseases reduce agricultural benefits and threaten the health of consumers. Improving the level of pest control is the guarantee for large-scale planting of vegetables and high yield and quality. The expert system for pest diagnosis can assist in the diagnosis of pests and find methods of pest control in time. [0003] Expert systems have different structures due to different application fields and solving tasks, but the basic conceptual structure includes human-computer interaction interface, knowledge base, knowledge acquisition mechanism, inference engine, interpretation mechanism and database, among which the inference engine It is ...

AI Technical Summary

Problems solved by technology

The expression of knowledge and the formation of rules are jointly completed by domain experts, knowledge engineers and system developers. The limitations of many factors in each link lead to knowledge acquisition bottlenecks in this type of expert system, and the knowledge expressed in the form of rules in the system knowledge base cannot cover When the problem to be solved, the performance of the system will be greatly reduced and its vulnerability will be revealed; due to the interdependence of the rules, there are strict usage restrictions, adding rules is complicated and difficult, making it difficult to update the system knowledge

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