ARCHIVES

Abstract: Diseases in crop cause major production and economic losses as well as reduction in both quality and quantity of agricultural products. Now a day's crop diseases detection has received increasing attention in monitoring large field of crops. Farmers experience great difficulties in switching from one disease control policy to another. The naked eye observation of experts is the traditional approach adopted in practice for detection and identification of crop diseases. In this paper we review the need of simple crop leaves disease detection system that would facilitate advancements in agriculture. This paper proposes a smart and efficient technique for detection of crop leaf diseases with the help of image processing and neural networks. The proposed system is able to detect 14 diseases of 11 common crop with 98 percent accuracy for 24 classes from a total of 34236 images.