A FASTER TECHNIQUE USING IMAGE PROCESSING OF AFFECTED AREA FOR RICE DISEASE DETECTION

Rice is one of the most important grains produced in India, which is a country that relies heavily on agriculture as its primary means of subsistence for well over half of its population. It has been discovered that diseases that affect rice plants are the primary factors that contribute to a decline in both the quantity and quality of food. The detection of such disorders could result in an improvement in product quality. This study provides an overview of a variety of techniques, including image processing, that are utilized in the diagnosis of fatal illnesses that might affect rice plants. A significant amount of study has been done to automate the process of detecting diseases in rice plants by looking at photographs of the leaf. In this publication, different methods for detecting diseases in rice plants were evaluated, and it was discovered that deep learning methods provide significantly more promise than the other two methods.