Remote sensing-based soil organic carbon monitoring using advanced machine learning techniques under conservation agriculture systems

Accurate soil organic carbon (SOC) monitoring is essential for sustainable agriculture and climate change mitigation. This study integrates remote sensing and machine learning to improve SOC estimation in agricultural soils across two contrasting sites: Niigata, Japan (temperate, sandy soils) and Ag...

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Bibliographic Details
Main Authors: Nail Beisekenov, Wiyao Banakinaou, Ayomikun David Ajayi, Hideo Hasegawa, Aoda Tadao
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:Smart Agricultural Technology
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Online Access:http://www.sciencedirect.com/science/article/pii/S2772375525002692
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