Plant Disease Detection Using Machine Learning

Abstract

The main reason for productivity loss in crops diseases. Due to diseases over 50% of the yield loss is common. Furthermore, a large portion of peoples depend on agriculture for their lives, so the yield loss is a serious concern. For countries like India, agriculture is a main source of living, so increasing production is one of the biggest points to work on. Agriculture is also a main source of employment and also it is the backbone of our country. The studies of plant diseases are known as plant pathology, which we studied how to detect and cure plant diseases. The sustainability of thelife of plants is one of the key points that is for agricultural development. The identification of plant diseases is very hard to detect it requires lots of work and expertise, lots of knowledge in the field of plants.  In this paper, we will show the detection of diseases of plants with the help of images of leaves. Using a dataset of hundred’s images of plant disease and healthy plant leaves, we train a deep Central Neural Network to identify many diseases of lots of crops.