Mathematical Formulation and Comparative Performance Evaluation of Machine Learning Algorithms for Maize Land Suitability Prediction
- DOI
- 10.48550/arxiv.2611.01239
- Published
- 2026
- Container
- Not recorded
- Publisher
- arXiv
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.48550/arxiv.2611.01239,
title = {Mathematical Formulation and Comparative Performance Evaluation of Machine Learning Algorithms for Maize Land Suitability Prediction},
author = {Bitew, Haimanot and Almaw, Ayisheshim and Zegeye, Habtamu and Alene, Demeke},
year = {2026},
doi = {10.48550/arxiv.2611.01239},
url = {https://doi.org/10.48550/arxiv.2611.01239}
}RIS
TY - JOUR TI - Mathematical Formulation and Comparative Performance Evaluation of Machine Learning Algorithms for Maize Land Suitability Prediction AU - Bitew, Haimanot AU - Almaw, Ayisheshim AU - Zegeye, Habtamu AU - Alene, Demeke PY - 2026 DO - 10.48550/arxiv.2611.01239 UR - https://doi.org/10.48550/arxiv.2611.01239 ER -
APA
Haimanot, B., Ayisheshim, A., Habtamu, Z., & Demeke, A. (2026). Mathematical Formulation and Comparative Performance Evaluation of Machine Learning Algorithms for Maize Land Suitability Prediction. https://doi.org/10.48550/arxiv.2611.01239
Source records
- datacite · retrieved 2026-11-04T05:25:54.908Z