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Estimating soil organic carbon by integrating mid-infrared spectroscopy with explainable machine learning

Organic carbon is a crucial soil parameter that significantly influences soil fertility, structural stability, microbial activity, and overall agricultural productivity. Traditional methods for measuring organic carbon are often time-consuming, labor-intensive, and expensive. This study explores the...

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Principais autores: Most. Mira Khatun, Md. Abir Hasan, Md Sadiul Alam Chyon, Rashid Anzoom, Md Wadud Ahmed, Md. Shafiul Azam, S.M. Hasan Sazzad Iqbal, Md. Abdur Rahim, Md. Niaz Imtiaz, Md. Toukir Ahmed
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2026-07-01
coleção:Results in Chemistry
Assuntos:
Spectroscopy
Optimization
Regression
Explainable AI
Soil quality
Acesso em linha:http://www.sciencedirect.com/science/article/pii/S2211715626003607
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