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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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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, 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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  Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 7/16/2026, Vol. 21 Issue 7, p1-25. 25p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=195429334
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