Research Review of Feature Extraction and Classification Recognition of Rice Disease Images based on Computer Vision Technology

Abstract

Diagnosis and recognition of rice diseases and pests, amongst others, are an essential research direction of precision agriculture, which help to effectively prevent and control diseases and pests as well as improve rice yield and quality. Starting with the basic principles and technical routes of feature extraction and classification recognition of rice disease images, this paper expounds characteristics, realization methods and applications of many current feature extraction and recognition methods in China and abroad, analyzes the advantages of and problems in applications of different methods and technologies into recognition of rice diseases and pests, analyzes problems to be solved, proposes corresponding solutions, and looks into the development future of this research.