Classification Techniques for Disease Detection in Plants: A Systematic Review

Abstract

Agriculture is the main source of livelihood of the majority of Indian population. Due to the rapid increase of population, the demands for the agricultural products are also increasing at an alarming rate. But the crop yield suffers a lot due to various fungal diseases as the price of agricultural goods goes down. There are number of machine learning and deep learning techniques used for the identification of such diseases. This paper conducted a survey of different methodologies used for diseases prediction by analyzing plant leaves. Such automatic plant disease detection techniques are really helpful in early diagnosis and prevention of disease which in turn enhances agricultural productivity.