Automated Plant Recognition System with Geographical Position Selection for Medicinal Plants

Author:

Acharya Biswaranjan1ORCID,Ghosh Ahona2ORCID,Panda Sucheta1ORCID,Hu Yu-Chen34ORCID

Affiliation:

1. Department of Computer Application, Veer Surendra Sai University of Technology, Burla, Odisha, India

2. Department of Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology, Kolkata, West Bengal 741249, India

3. Department of Computer Science and Information Management, Providence University, Taichung, Taiwan

4. Department of Computer Science, Tunghai University, Taichung City, Taiwan

Abstract

Basically, it is hard for endeavors to recognize plant leaf images by a layman due to the varieties in some plant leaves and the extensive information collected for investigation. It is hard to build an automated recognition framework that can handle massive data and give an intermediate analysis. Image examination and order and pattern recognition are some issues that are effectively connected to the existing methods. This paper focuses on designing an automated plant recognition system based on the best recognition algorithm and the Google platform to locate all plant locations on a map. A case study of India, which has huge biodiversity, is illustrated. The proposed system can show the detailed location of that particular species, where they can be found, and the shortest distance from the current location.

Publisher

Hindawi Limited

Subject

General Computer Science

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