文章基本信息

标题：Advance App Design Methods of Leaf Disease Detection using Image Processing Approach – A Review
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作者：Sumit Nema ; Bharat Mishra ; Mamta Lambert 等
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：7
页码：13277
DOI：10.15680/IJIRSET.2017.0607068
出版社：S&S Publications
摘要：Agriculture is the main element of economic growth in developing countries. The crop quality dependson the everyday growth of plants. Disease detection in early stages can be improving the production percentage.Recently,numerous image processing techniques are developed to detect the leaf diseases. This paper presents, a reviewon different technologies of leaf disease detection using image processing approach and classified them based on thetype of analysis tool and applications. Almost, fundamental technologies used in leaf disease detection system arecritically reviewed and discussed in brief; comparison of available approaches are examined and presented. The mainissues and challenges in leaf diseases detection are underlined.
关键词：Leaf disease detection; Image processing; segmentation; classification; feature extraction.