Retracted: Study of Machine Learning Techniques for Plant Disease Recognition in Agriculture

Abstract

Usage of machine learning in agriculture is showing exponential improvement and gateway for interdisciplinary research. The implementation of autonomous techniques in agriculture can help farmers to perceive the disorder in crop yields, including identification of patterns. In the horticulture field, detection of disease for plant protection and crop management perform the significant role. In this paper, the objective is to study and analyze the various disease classification methodologies, advance techniques of machine learning used by different researchers in agriculture application.