The iPSM-SD Framework: Enhancing Predictive Soil Mapping for Precision Agriculture Through Spatial Proximity Integration

A key challenge in precision agriculture is acquiring reliable spatial soil information under varying sampling densities, from sparse surveys to intensive monitoring. The individual predictive soil mapping (iPSM) method performs well in data-scarce conditions but neglects spatial proximity, limiting...

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Detalhes bibliográficos

Principais autores:	Peng-Tao Guo, Wen-Tao Li, Mao-Fen Li, Pei-Sheng Yan, Yan Liu, Ju Zhao
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-01-01
coleção:	Agronomy
Assuntos:	digital soil mapping environmental similarity soil organic carbon density spatial distance predictive modeling
Acesso em linha:	https://www.mdpi.com/2073-4395/16/2/231
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