Title :
Detection of unhealthy region of plant leaves using image processing and genetic algorithm
Author :
Singh, Vijai ; Varsha ; Misra, A.K.
Author_Institution :
IMS Eng. Coll., UP, Ghaziabad, India
Abstract :
Agricultural productivity is that thing on which Indian Economy highly depends. This is the one of the reasons that disease detection in plants plays an important role in agriculture field, as having disease in plants are quite natural. If proper care is not taken in this area then it causes serious effects on plants and due to which respective product quality, quantity or productivity is affected. Detection of plant disease through some automatic technique is beneficial as it reduces a large work of monitoring in big farms of crops, and at very early stage itself it detects the symptoms of diseases means when they appear on plant leaves. This paper presents an algorithm for image segmentation technique used for automatic detection as well as classification of plant leaf diseases and survey on different diseases classification techniques that can be used for plant leaf disease detection. Image segmentation, which is an important aspect for disease detection in plant leaf disease, is done by using genetic algorithm.
Keywords :
agriculture; crops; genetic algorithms; image classification; image segmentation; object detection; plant diseases; Indian economy; agricultural productivity; agriculture field; automatic detection technique; crop monitoring; genetic algorithm; image processing; image segmentation technique; plant disease detection; plant leaf disease detection; plant leaf diseases classification techniques; product quality; unhealthy plant leave region detection; Classification algorithms; Diseases; Feature extraction; Image color analysis; Image segmentation; Plants (biology); Genetic algorithm; Image processing; plant disease detection;
Conference_Titel :
Computer Engineering and Applications (ICACEA), 2015 International Conference on Advances in
Conference_Location :
Ghaziabad
DOI :
10.1109/ICACEA.2015.7164858