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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Title: 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.
Authors: Bueno M; Programa de posgrado en Cambio Climático, Universidad Nacional de San Antonio Abad del Cusco, Cusco, Peru., Loayza H; International Potato Center (CIP), Headquarters, Lima, Peru.; Universidad de Huánuco, Huánuco, Peru., Ninanya J; International Potato Center (CIP), Headquarters, Lima, Peru., Rinza J; International Potato Center (CIP), Headquarters, Lima, Peru., Briceño P; International Potato Center (CIP), Headquarters, Lima, Peru., Silva L; International Potato Center (CIP), Headquarters, Lima, Peru., Mestanza C; Departamento Académico de Suelos, Universidad Nacional Agraria La Molina, Lima, Peru., Otiniano R; Asociación Pataz, Jr. Independencia 263, Trujillo, Peru., Kreuze J; International Potato Center (CIP), Headquarters, Lima, Peru., Ramírez DA; International Potato Center (CIP), Headquarters, Lima, Peru.
Source: PloS one [PLoS One] 2026 Jul 16; Vol. 21 (7), pp. e0353966. Date of Electronic Publication: 2026 Jul 16 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0353966