Open access
Original Paper
Published: 24 October 2026
Machine Learning Applications in Soil Quality Assessment: Predictive Modeling of Heavy Metal Bioaccumulation
I Wayan Sudarta, Kevin Zhao, Anita Dewi
Published in Journal of Science Research & Education (OJS Peer-Reviewed Workflow)
Abstract
Utilizing ensemble gradient boosting (XGBoost) and random forest classifiers on multi-spectral satellite imagery and ground soil samples to forecast cadmium and lead bioaccumulation indices in agricultural river basins.
Keywords:
Science Research, Education, Empirical Study
Publication Details
| Journal | Journal of Science Research & Education |
| Issue | Volume 1, Issue 1 (2026), pp. 73–84 |
| ISSN (Online) | 2988-1021 |
| Publisher | Global Innovation & Academic Press (GIA Press) |
| Peer Review | Double-blind peer reviewed in accordance with COPE ethical guidelines |
| License | Creative Commons Attribution 4.0 International (CC BY 4.0) |
How to Cite (APA 7th Edition)
I Wayan Sudarta, Kevin Zhao, Anita Dewi (2026). Machine Learning Applications in Soil Quality Assessment: Predictive Modeling of Heavy Metal Bioaccumulation. Journal of Science Research & Education, 1(1), 73–84. https://doi.org/10.59653/jsre.v2i01.2029