An Approach Towards Disease Detection in Potato Leaf – A Review

Abstract

Potatoes are well known all over the world’s people. But the fact is in the last few years the export and produce level is decreasing because of some serious disease of potato leaf. Manual detection of this diseases requires huge amount of time and manpower. The farmers also have to suffer for this reason. To distinguish these disorders from potato leaves, a deep learning model will be offered and this will be very beneficial for farmers. This study is primarily focused on images, so that a large number of images are required. Different deep learning and machine learning models are used for this research to detect the disease from images of the potato leaf. In this paper we review different models based on deep learning and machine learning for leaf disease detection.