A Systematic Study of Plant Diseases Analysis to Improve the Growth in Agriculture

Abstract

Plant diseases cause the most important losses in production, financial system, and quantity of agricultural products. Considering the fact that 70% of the Indian financial system is depending on agricultural yield, there's a need to control the loss incurred by the plant diseases. It is necessary to monitor the plants from its initial stage of their life-cycle to keep away from diseases. The conventional technique that is used for this supervision is a naked eye and that is more time-consuming, expensive. To overcome this problem, there is a need for an automated system which will help the farmers to identify the plant diseases without having any overheads. Many researchers have developed many systems and algorithms based totally on diverse strategies of Machine Learning and Deep Learning techniques. In this paper we review some of the most recent methods that have been used to identify the plant diseases and also describe the different methods of plant leaves disease detection that help the growth of agriculture to improve the lifestyle of the farmers.