CVJun 18, 2013

An Overview of the Research on Texture Based Plant Leaf Classification

arXiv:1306.4345v146 citations
AI Analysis

It addresses the problem of accurate plant identification for applications in agriculture, medicine, and biodiversity research, but is incremental as it reviews existing methods.

This paper provides an overview of texture-based methods for plant leaf classification, aiming to identify the most efficient technique by comparing performance across different approaches.

Plant classification has a broad application prospective in agriculture and medicine, and is especially significant to the biology diversity research. As plants are vitally important for environmental protection, it is more important to identify and classify them accurately. Plant leaf classification is a technique where leaf is classified based on its different morphological features. The goal of this paper is to provide an overview of different aspects of texture based plant leaf classification and related things. At last we will be concluding about the efficient method i.e. the method that gives better performance compared to the other methods.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes