Abstract

The identification and classification of weeds are of major technical and economical importance in the agricultural industry. Weeds are extracted from images using image processing and described by shape, colour and size features.

These features are used to classify different weeds and crop species. In this paper, we describe different classification techniques like SVM, NN, DA and methods like Otsu’s, 2G-R-B which are used to differentiate weeds and crops. We analyze all the features of these methods and techniques. In this paper our main aim is to review the methods for detecting the weed in the crop by using image processing.