Detection of Disease of Tomato Plant Based on Convolution Neural Network

Abstract

At present, Agriculture is an important for a human to fulfill their livelihoods. In that sector, one of the major problems is plant diseases. Most of the plant diseases are caused by fungus, viruses, bacteria, etc. The farmers may not have an idea about the root causes of these diseases. So it is essential to detect various diseases on plant and to prevent that kind of diseases. It is impossible to find out the diseases of plant manually. It needs splendid effort, to expertise in the plant diseases and also require excessive amount of processing time. This paper discussed the methods used for the identification of plant diseases with the help of leaves images and also discussed detection of diseases using convolution neural network algorithm.