Wheat leaf Disease Detection

Abstract

With increase in population the need for food is on rise, in such circumstances, plant diseases prove to be a major threat to agricultural produce and result in disastrous consequences for farmers. Early detection of plant disease can help in ensuring food security and controlling financial losses. Wheat is a widely cultivated crop whose seed is a grain used all over the world as a staple food. The wheat diseases are harmful to wheat production, The wheat diseases are generally viral, bacterial, fungal, rust etc. There are many types of disease which are presents in wheat leaf. Recently, wheat disease detection through leaf image and data processing techniques are used extensively and in expensive system especially for assisting farmers in monitoring the big plantation area. Machine learning techniques are described for wheat leaf disease detection and its classification also with its recommendation of its medicine.