Efficient decision support system for Agricultural application

Agriculture is the foundation of our country. India is an agrarian nation where the majority of the populaces rely upon agribusiness. Investigation in farming is pointed towards expanding efficiency and profit. There are several automated systems already available which are developed for irrigation control and environmental monitoring in the field. Hence this project aims to monitor the plant growth and take decisions accordingly. An image processing algorithm using FCM based clustering has been developed to identify the diseases in rice plant. Disease detection at the right time can increase the crop production. The developed algorithm has nearly 20% increased accuracy measure in disease detection compared to the existing methodology.