Skip to main content
Have a personal or library account? Click to login
Enhanced weed and crop species classification using optimized machine learning and ensemble techniques Cover

Enhanced weed and crop species classification using optimized machine learning and ensemble techniques

International Journal on Smart Sensing and Intelligent Systems
Volume 18 (2025): Issue 1 (January 2025)
By:  and    
Open Access
|Oct 2025
Authors

Authors

R. Sathya

sathya.r0714@gmail.com

Department of Computer Science, Vels Institute of Science, Technology, and Advanced Studies (VISTAS), Chennai, India

K.S. Thirunavukkarasu

Department of Computer Science, Vels Institute of Science, Technology, and Advanced Studies (VISTAS), Chennai, India
DOI: https://doi.org/10.2478/ijssis-2025-0048 | Journal eISSN: 1178-5608
Journal RSS Feed
Language: English
Submitted on: Feb 1, 2025
Published on: Oct 4, 2025
Published by: Macquarie University, Australia
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
machine learning,
ensemble techniques,
agriculture,
recursive feature elimination,
principal component analysis
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2025 R. Sathya, K.S. Thirunavukkarasu, published by Macquarie University, Australia
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 18 (2025): Issue 1 (January 2025)
Previous article
Next article