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Open Access

Peer-reviewed

Research Article

Sensitivity of machine learning regression models to data structure and quality in crop yield prediction

Mahoukpégo Luc Zinzinhédo ,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Writing – original draft, Writing – review & editing

* E-mail: zinzinhedoluc@gmail.com

Affiliation Laboratoire de Biomathématiques et d’Estimations Forestières, Faculté des Sciences Agronomiques, Université d’Abomey-Calavi, Abomey-Calavi, Atlantique, Bénin

https://orcid.org/0009-0000-3480-112X

⨯
Mèvognon Firmin Mitchozounnou,

Roles Formal analysis, Software

Affiliation Laboratoire de Biomathématiques et d’Estimations Forestières, Faculté des Sciences Agronomiques, Université d’Abomey-Calavi, Abomey-Calavi, Atlantique, Bénin
⨯
Kolawolé Valère Salako,

Roles Software, Supervision, Visualization

Affiliation Laboratoire de Biomathématiques et d’Estimations Forestières, Faculté des Sciences Agronomiques, Université d’Abomey-Calavi, Abomey-Calavi, Atlantique, Bénin
⨯
Romain Glèlè Kakaï

Roles Conceptualization, Methodology, Supervision, Validation, Visualization

Affiliation Laboratoire de Biomathématiques et d’Estimations Forestières, Faculté des Sciences Agronomiques, Université d’Abomey-Calavi, Abomey-Calavi, Atlantique, Bénin
⨯

Sensitivity of machine learning regression models to data structure and quality in crop yield prediction

Mahoukpégo Luc Zinzinhédo,
Mèvognon Firmin Mitchozounnou,
Kolawolé Valère Salako,
Romain Glèlè Kakaï

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Published: September 1, 2026
https://doi.org/10.1371/journal.pone.0353938

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Machine learning algorithms
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Crops
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Machine learning
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Sorghum
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Cereal crops
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Peanut
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Support vector machines
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