Trends of Plant Disease Detection

Abstract

Diagnosis of plant disease is a task of identifying the disease in the leaf or fruit or vegetable. About 42% of the world’s agriculture harvest is destroyed yearly by disease and pest. However, losses of harvest can be minimized and specific treatments can be applied if plant diseases are correctly identified early. Manual identification of disease in the plant is not only time consuming but also does not give accurate result. So, providing fast, automatic and accurate solution using image processing techniques can be a good realistic significance. Automatic identification of diseases using image processing techniques can be done by using five methods like Image Acquisition, Image Preprocessing, image segmentation, Feature extraction and classification. Over last few years, many research works are carrying out in this area. This paper provides a brief overview on methodology. Further, paper reviews recent research trends to identifying disease in the plant which is based on image processing techniques.