Open AccessResearch Review of Feature Extraction and Classification Recognition of Rice Disease Images based on Computer Vision Technology
Author(s) -
Hui Li
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1544/1/012116
Subject(s) - feature extraction , computer science , artificial intelligence , realization (probability) , feature (linguistics) , pattern recognition (psychology) , quality (philosophy) , agriculture , mathematics , geography , linguistics , statistics , philosophy , archaeology , epistemology
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.