Crop Disease Detection System Using Deep Learning Method

Abstract

Agriculture forms a crucial part of the economy of India. More than 50 percent of India’s population is reliant on on agriculture for their income. India export many crops like wheat and other cereals. It can thus be seen that wheat is a big part of the Indian agricultural system and the economy of India. Therefore, it is very important to maintain the steady production of wheat and cereals. Planning for agriculture plays a major role in agro-based economy of country development and food security. In agricultural planning, the selection of crops is a significant question. It relies on different parameters, such as the rate of production, market price and policies of the government. Many researchers have researched crop yield rate prediction, weather prediction, soil classification and crop classification using statistical methods or machine learning techniques for agricultural planning. In this paper, novel crop diseases detection system based on deformable model have proposed to handle the segmentation of crop images.