Author : M.Thiruselvi 1
Date of Publication :7th February 2017
Abstract: Agriculture has been the prime occupation of India. Our country stands one among the major producers of many food crops in the world. But there are few declining factors like plant infection that reduce yield. Most plant diseases are caused by micro organisms. In the current scenario, the infected plants are identified through naked eye and treated manually which is inefficient. The proposed project uses image processing to detect and diagnose the diseases. Each disease has different symptoms, which is identified here with the help of GLCM and Clustering algorithm. The disease is identified and the pesticide to be used is displayed with the help of a LCD display thus reducing the effort of farmers in identifying the disease and finding the correct pesticide to be used. This ultimately increases the yield and quality of crops in a long term as soil damage is also reduced.
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