Rice Leaf Disease Prediction: A Survey

Abstract

In this fast-growing overpopulated world, people are facing food insecurity problem. To feed an enormous amount of people agriculture is straining natural resources. Rice is the main source of food for many people around the globe. According to the world bank, the projected demand for rice will increase by 51% by the year 2025. Therefor any damage to rice crops is unacceptable. But rice is prone to infections that can affect the overall yield to a significant extent. The disease of rice plant can be detected with the help of image processing at the earlier stages. The diseases occurred on plants are detected using image processing in 4 phases such as to pre-process the image, segment it, extract the features and classify the disease. This study conducts a review on available latest and state of the art techniques to detect the plant diseases.