Assessment of the soil fertility status in Benin (West Africa) – Digital soil mapping using machine learning

• Published in: Geoderma Regional Vol. 28; p. e00444
• Main Authors: Hounkpatin, Kpade O.L., Bossa, Aymar Y., Yira, Yacouba, Igue, Mouïnou A., Sinsin, Brice A.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.03.2022
• Subjects: altitude; base saturation; Benin; cation exchange capacity; decision making; Digital soil mapping; exchangeable potassium; issues and policy; Markvetenskap; Multiple soil classes; nitrogen; phosphorus; prediction; Random forest; soil fertility; Soil fertility index; soil organic matter; Soil Science; soil types; spectral analysis; streams; sustainable land management; uncertainty; Benin; Soil fertility index; Random forest; Multiple soil classes; Digital soil mapping

A soil fertility index map (SFIm) can provide key information to decision-makers in regard to spatial planning in the context of sustainable land management. The establishment of such SFIm requires basic soil properties that can be modelled for spatial mapping. The objective of this study was to tak...