Sensitivity of machine learning regression models to data structure and quality in crop yield prediction
- DOI
- 10.1371/journal.pone.0353938
- Published
- 2026-09-01
- Container
- PLOS One
- Publisher
- Public Library of Science (PLoS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0353938,
title = {Sensitivity of machine learning regression models to data structure and quality in crop yield prediction},
author = {Mahoukpégo Luc Zinzinhédo and Mèvognon Firmin Mitchozounnou and Kolawolé Valère Salako and Romain Glèlè Kakaï},
year = {2026},
journal = {PLOS One},
doi = {10.1371/journal.pone.0353938},
url = {https://doi.org/10.1371/journal.pone.0353938}
}RIS
TY - JOUR TI - Sensitivity of machine learning regression models to data structure and quality in crop yield prediction AU - Mahoukpégo Luc Zinzinhédo AU - Mèvognon Firmin Mitchozounnou AU - Kolawolé Valère Salako AU - Romain Glèlè Kakaï PY - 2026 JO - PLOS One DO - 10.1371/journal.pone.0353938 UR - https://doi.org/10.1371/journal.pone.0353938 ER -
APA
Zinzinhédo, M. L., Mitchozounnou, M. F., Salako, K. V., & Kakaï, R. G. (2026). Sensitivity of machine learning regression models to data structure and quality in crop yield prediction. PLOS One. https://doi.org/10.1371/journal.pone.0353938
Source records
- crossref · retrieved 2026-09-25T00:22:23.986Z