Ensemble machine learning for digital mapping of soil pH and electrical conductivity in the Andean agroecosystem of Peru

In agricultural systems, soil pH and electrical conductivity (EC) are crucial chemical properties that directly affect nutrient availability and microbial activity, but the challenging environment of the Peruvian Andes has limited research on their estimation. This study aimed to develop an ensemble...

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Bibliographic Details

Main Authors:	Carbajal Llosa, Carlos Miguel, Barja , Antony, Pizarro Carcausto, Samuel Edwin
Format:	info:eu-repo/semantics/article
Language:	Inglés
Published:	Frontiers Media S.A. 2025
Subjects:	Ensemble learning Spatial machine learning Digital soil mapping Soil pH Electrical conductivity Aprendizaje conjunto aprendizaje automático espacial mapeo digital del suelo pH del suelo conductividad eléctrica. https://purl.org/pe-repo/ocde/ford#4.01.04 Propiedad del suelo; Soil properties; Teledetección; Remote sensing; Modelo digital de superficie; Digital Surface models; Sistema de información geográfica; Geographic information systems; Análisis espacial; Spatial analysis; Perú; Peru.
Online Access:	http://hdl.handle.net/20.500.12955/2967 https://doi.org/10.3389/fsoil.2025.1673628