An Identification of Variety of Leaf Diseases Using Various Data Mining Techniques

Abstract: Diseases in plants cause major production and economic losses as well as reduction in both quality and quantity of agricultural products. Now a day�s plant 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 plant diseases. This paper review the need of simple plant leaves disease detection system that would facilitate advancements in agriculture. Early information on crop health and disease detection can facilitate the control of diseases through proper management strategies. This technique will improves productivity of crops. This paper surveys the data mining techniques to predict the various leaf diseases of various types of leaf. Different types of leaf diseases of also discussed in this paper.

Keywords: Data mining, Biology diversity, Agriculture.