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. |
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| Authors: | Bueno, Marcelo1 (AUTHOR), Loayza, Hildo2,3 (AUTHOR) h.loayza@cgiar.org, Ninanya, Johan2 (AUTHOR), Rinza, Javier2 (AUTHOR), Briceño, Percy2 (AUTHOR), Silva, Luis2 (AUTHOR), Mestanza, Carlos4 (AUTHOR), Otiniano, Ronal5 (AUTHOR), Kreuze, Jan2 (AUTHOR), Ramírez, David A.2 (AUTHOR) |
| Source: | PLoS ONE. 7/16/2026, Vol. 21 Issue 7, p1-25. 25p. |
| Database: | Academic Search Ultimate |
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| ISSN: | 19326203 |
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| DOI: | 10.1371/journal.pone.0353966 |
