Machine Learning-Based Recognition of Indian Medicinal Plants Species Using Handcrafted Features

DOI

10.2991/978-94-6463-894-3_20How to use a DOI?

Keywords

Handcrafted Features; Indian Medicinal Plant; Machine Learning; Plant Species Classification

Abstract

Recognizing and categorizing Indian medicinal plant species plays a vital role in safeguarding biodiversity and advancing pharmaceutical studies. Traditional manual classification methods take a lot of time and often involve mistakes. This paper introduces a machine learning-driven recognition system that automates the classification of Indian medicinal plants through handcrafted feature extraction methods. The method uses color and texture features to improve classification accuracy by analyzing the surface patterns and structural properties of plant leaves. Four machine learning algorithms classify the extracted features, and their performances are compared. The benchmark dataset includes images of various Indian medicinal plant species, which are processed and segmented before feature extraction. The experimental findings indicate that the Random Forest classifier surpasses other models in terms of accuracy, delivering superior classification performance. This approach offers a cost-effective and efficient solution for identifying plant species, helping botanists and researchers automate the classification of medicinal plants.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Gajanan Digambar Patil
AU  - Pritesh R. Gumble
PY  - 2025
DA  - 2025/11/10
TI  - Machine Learning-Based Recognition of Indian Medicinal Plants Species Using Handcrafted Features
BT  - Proceedings of the International Conference on Policies, Processes and Practices for transforming Underdeveloped Economies into Developed Economies (PPP-UD 2025)
PB  - Atlantis Press
SP  - 283
EP  - 297
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-894-3_20
DO  - 10.2991/978-94-6463-894-3_20
ID  - Patil2025
ER  -