What is it all about?

The need of the hour

India is an agricultural country in which the majority of the population relies on agriculture. Agriculture is not only intended to feed ever-growing populations, but it is an essential source of energy and a solution to the global warming crisis. Agricultural research is aimed at increasing production and food quality with reduced expenditure and higher benefit, which has gained significance in recent times.

The key approach used in practice for the detection and identification of plant diseases is the naked-eye observation of experts. In the agricultural industry, the classification and identification of crop diseases is of great technical and economic significance. Plant diseases are unavoidable, and the identification of diseases plays a major role in agriculture. It is possible to describe the word disease as the death of a plant leaf. It may be infectious, fungal and bacterial. Plant disease is one of the crucial causes that reduces quantity and degrades quality of the agricultural produce.

Problem Statement

As of now, the problem exist that if the user or farmer notices some anomaly in the leaf they would have to go through a long procedure of getting the crop tested in labs resulting in loss of time and money since they would have to go through all the existing test

With this Disease detection model the user can easily identify the type of disease thereby saving them from all the hassle of going through the tests which would have emptied their pockets.If not permanent, this can at least act as a temporary alternative for quick results in case of any doubt.