Paddy Disease Detection and Pesticide Recommender System for Farmers Using Multi SVM Technique

Abstract

India is a cultivated country and about seventy percentage of the population depends on Agriculture. Farmers have large range of diversity for selecting various suitable crops and finding the suitable pesticides for Rice. Disease on Rice leads to the significant reduction in both the quality and quantity of agricultural products. The studies of Rice disease refer to the studies of visually observable patterns on the Rice. Monitoring of health and disease on Rice plays an important role in successful cultivation of crops in the farm. In early days, the monitoring and analysis of Rice diseases were done manually by the expertise person in that field. This requires tremendous amount of work and also requires excessive processing time. The image processing techniques can be used in the Rice disease detection. In most of the cases disease symptoms are seen on the leaves, stem and fruit. The Rice leaf for the detection of disease is considered which shows the disease symptoms.