A Novel Method for Identification and Classification of Indian Vegetables Using Random Forest Algorithm

Abstract

It is only the farmer who faithfully plants seeds in the spring, who reaps a harvest in the autumn. The goal of this study is to create a useful classification method using the Random Forest (RF) algorithm. Different crops, namely brinjal, carrot, and onion, were examined, and many features have been derived dependent on the design, color, and texture. A preparation stage is described that uses image analysis to enhance the vegetables images dataset in order to minimize their color index. The features of the vegetable images are then retrieved. Finally, Random Forests (RF), a newly generated pattern recognition method, used in the vegetable’s classification process. The proposed method achieved higher accuracy in terms of identification and classification of the vegetables