A Survey on Disease Detection in Plant using Image Processing Techniques

Abstract

We are familiar with this fact that there are major production and economic losses due to the disease in plants; a disease also degrades the quality of Agricultural Products as well as the quantity of production. Now a day's farmers are facing many problems, they are always confused to use the different type of disease detection techniques. The paper shows various steps of image processing which covers Image acquisition followed by pre-processing then segmentation along with feature extraction and then classification for identification and discovering various plant diseases in the leaf's of the plants.

Detection of Fungal Disease in Cabbage Images Using Adaptive Thresholding Technique Compared with Threshold Technique

“…In plant disease detection, feature extraction and classification plays a major role. Hence we use svm classifier (Gupta 2019). In plant disease detection major image processing steps which includes image acquisition, pre-processing, and image segmentation has been explained briefly and uses features of image like colour, shape, size, texture for the successful detection of diseases in plants.…”