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Can a history of crop rotations improve the prediction of soil organic carbon in the Andes? integrating machine learning multi-annual crop classification as a proxy of soil management
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Marcelo Bueno ,
Contributed equally to this work with: Marcelo Bueno, Hildo Loayza
Roles Conceptualization, Data curation, Formal analysis, Methodology, Writing – original draft, Writing – review & editing
Affiliation Programa de posgrado en Cambio Climático, Universidad Nacional de San Antonio Abad del Cusco, Cusco, Peru
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Hildo Loayza ,
Contributed equally to this work with: Marcelo Bueno, Hildo Loayza
Roles Conceptualization, Formal analysis, Methodology, Supervision, Writing – review & editing
* E-mail: h.loayza@cgiar.org
Affiliations International Potato Center (CIP), Headquarters, Lima, Peru, Universidad de Huánuco, Huánuco, Peru
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Johan Ninanya,
Roles Resources, Writing – review & editing
Affiliation International Potato Center (CIP), Headquarters, Lima, Peru
⨯ - Javier Rinza,
- Percy Briceño,
- Luis Silva,
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Carlos Mestanza,
Roles Resources
Affiliation Departamento Académico de Suelos, Universidad Nacional Agraria La Molina, Lima, Peru
⨯ - Ronal Otiniano,
- Jan Kreuze,
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David A. Ramírez
Roles Funding acquisition, Supervision, Writing – review & editing
Affiliation International Potato Center (CIP), Headquarters, Lima, Peru
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https://orcid.org/0000-0003-2377-0430
Can a history of crop rotations improve the prediction of soil organic carbon in the Andes? integrating machine learning multi-annual crop classification as a proxy of soil management
- Marcelo Bueno,
- Hildo Loayza,
- Johan Ninanya,
- Javier Rinza,
- Percy Briceño,
- Luis Silva,
- Carlos Mestanza,
- Ronal Otiniano,
- Jan Kreuze,
- David A. Ramírez
- Published: July 16, 2026
- https://doi.org/10.1371/journal.pone.0353966