Research on the Diagnosis Method of Crop Pests and Diseases Based on the Heuristic Search

The diagnosis of crop diseases and insect pests depends on the position, pest apparent, and the impact of physiological biochemical and ecological factors, etc., so it is difficult to meet the requirements for the credibility of solving goal by applying a conventional logic-reasoning model. On the basis of the analysis on pests and diseases with hierarchical structure, the fuzzy membership matrix for the characteristic elements of plant diseases and insect pests is established to execute means clustering for the disease description, and propose the diagnosis of crop diseases and insect pests based on heuristic and/or graph search, which will respond to the user´s initial state-space by using diagnostic search tree and access to the tree structure of multiple symptoms that trigger the plant diseases and insect pests. Estimated function analysis shows that the model can carry out the inverse space search on the diagnosis of crop diseases and insect pests, provide different search paths for pest and disease symptoms of all the different costs (weights), and show strong diagnosis credibility.