Identification of vegetable plant species using support vector machine

Abstract

This study proposes a method for the identification of vegetable plant species. Each plant leaf has its own features that can be used to identify the species it belongs to. Some of the features of a leaf that enable specific identification of a plant species are its shape, vein pattern, apical and basal features, and color patterns. Those salient features extracted from the leaf image are used along with a data mining algorithm, such as support vector machine, to identify of the species that the leaf belongs to. In this study two vegetable species, namely eggplant and ladies’ fingers were considered. Support vector machine is suited to situations where the data need to be classified into two groups.