Disease Detection using CNN and Transfer Learning

Abstract

Plant disease have great affect over the productivity of fruits and vegetables in rural area. It is estimated that pest and diseases cause loss of 20% crops in rural area vs 10% in urban area. One of the main reasons of this loss is lack of knowledge to identity the disease, its cause and its treatment. To overcome this problem in most economical way, we have used machine learning to identify the disease and suggest remedies to the farmers in rural areas. The proposed model simply accepts an image of leaf with unknown disease, identify the disease and suggest remedies. In this model we are using transfer learning technique to train our model in least amount of time over relatively smaller data. We have achieved up to 98.8% accuracy in identifying 38 different diseases among 14 different fruits and vegetables.