Agricultural remote diagnosis methods and applications

Author: Zhou Guomin et al.
Publisher:
Publish Date: 2006-11-01
Features: "Agricultural Remote Diagnosis Methods and Applications" is a systematic summary of the research achievements of the author's research team in the National 863 Program project "Research on Networked Real-Time Agricultural Remote Diagnosis Model and Interactive Key Platform Technology." It is a relatively comprehensive discussion of remote diagnosis of agricultural issues in the field of agricultural science and technology in China. The book is rich in content, distinctive in features, practical, and application-oriented, with a main line of "Method Foundation — Technology Research — Practical Application." It systematically elaborates on the technical principles, current application status, application scope, and integration with related technologies of each diagnosis method. Additionally, it specifically explains how to apply expert system methods, case library methods, neural networks, and other methods in a network environment to develop a practical agricultural remote diagnosis platform. It particularly provides systematic and detailed elaboration on the visual editing and application of binary tree decision-type knowledge, the design of case library inference engines based on the SDD algorithm, and the implementation of networked expert systems based on XML, offering valuable reference and reference value.