Author : Niraj Chaudhari and Rahul Patil

Agriculture plays a significant role in the growth and development of our nation’s economy. Indian economy is highly dominated by agricultural sector. But, the emergence of several agrarian diseases affects the productivity in the agricultural sector. It is necessary to cope up with this problem and to make aware farmers to counter the spread of diseases in crops. Hence, crop disease identification and diagnosis plays a significant role. Use of the deep neural network to automatically identify and provide diagnosis to crop diseases is aspired in the agriculture field. In this paper, a deep neural network model is proposed which performs disease detection of plants and cure through images of healthy leafs and disease infected plants, using deep learning technologies. We proposed a deep learning advances that improves the process of classifying diseases on banana leaves and provide diagnosis for identified disease. To classify image data sets we make use of convolutional neural network. Initial results shows us the strength of our proposed model even under challenging conditions such as complex background, different resolution, size, pose.

Keywords: Banana leaf, disease identification, Convolutional neural network, etc.