Classification of plant based on leaf images

Abstract

Plant identification has been important and complex task. Leaves are key part of the plant that distinguish, characterize, and classify. Every plant has unique leaves, and each leaf has a set of features that differentiate it from the other, inspire these features of plant leaves; here, this paper utilizes the idea of plant leaves for plant classification. Leaves are unique in relation to one another by attributes, for example, shape, shading, surface, and different other characteristics. This paper employs an algorithm for plant classification proposed based on plant leaves’ image features’ data through Linear Norms Decision Directed Acyclic Graph Least Square Twin Support Vector Machine (LN-DDAG-LSTSVM) classifiers. This proposed algorithm is demonstrated on leaf images from standard benchmarks database and compared with other methods where experimental results deliver higher accuracy.