A SURVEY PAPER ON PLANT DISEASE IDENTIFICATION USING MACHINE LEARNING

A SURVEY PAPER ON PLANT DISEASE IDENTIFICATION USING MACHINE LEARNING

1 Dr Shankar Gowda B B , 2 Karthik v Karanam

1 HOD, Professor, Department of Master of Computer Application, BIET, Davangere

2Student, Department of MCA, BIET, Davangere

Abstract: Agriculture plays an important role in farmer’s life. Sometimes manual identification of disease is time consuming and need of labor is more. One of the most important facts that reduce the growth of plants is disease attack. Overall study about agriculture shows that quality and quantity of agricultural products may be reduced due to various factors of plant diseases. These diseases can be more easily identified by using machine learning approach as compared to manual method. Hence machine learning method can be used to identify the affected leaf images.Images captured by camera will be processed using different image processing technique. These techniques will help in identifying plant diseases thereby increasing the yield of plants. This survey paper describes plant disease identification using Machine Learning Approach and study in detail about various techniques for disease identification and classification is also done.

Keywords: Feature extraction, image processing techniques, SVM, PNN, ANN and GA