期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2015
卷号：6
期号：3
页码：2519-2524
出版社：TechScience Publications
摘要：Disease management in plant is a challenging task. Most diseases are seen on the leaves or stem of the plant. Proper disease identification must be undertaken so that crop yield losses may be minimized. Plants may be affected by different diseases which are to be handled by the farmers within time to increase their productivity. An automatic plant disease identification system can be helpful for the farmers to identify the disease and their cures within time. Most of these diseases can be identified using the leaves of the plants. The proposed system will automatically detect the symptoms of diseases as soon as they appear on plant leaves. It is an efficient disease diagnosis system that focuses on plant disease identification by processing acquired digital images of lemon leaves. These images are made to undergo a set of preprocessing methods for image enhancement. The enhanced image is segmented and canny edge detection is used to extract the region of interest i.e., diseased portion. Later, a satisfying set of visual features from the region of interest are extracted by applying histogram for detecting diseases accurately. The advisory helps farming community in effective decision making to protect their crop from diseases and increase their productivity. There by, the proposed approach improves crop yield and uplifts the economy of farming community.
