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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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Збережено в:
Автори: 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
Формат: Artigo
Мова:Inglês
Опубліковано: Elsevier 2026-07-01
Серія:Results in Chemistry
Предмети:
Spectroscopy
Optimization
Regression
Explainable AI
Soil quality
Онлайн доступ:http://www.sciencedirect.com/science/article/pii/S2211715626003607
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