Plant Disease Identification and Detection Using Support Vector Machines and Artificial Neural Networks

Abstract

In growing nations like India, agriculture plays a vital role in the economy. Increase in agro-products affects the GDP of the nation to a good extent. To increase the productivity in agriculture, early detection of diseases needs to be identified and addressed. In the research work, we have concise our discussion with detection of crop diseases using machine learning techniques, especially with support vector machine (SVM) and artificial neural network (ANN). We have concluded our survey with the pros and cons of every method in context with input parameters (Crop type).