A machine learning framework to measure Water Drop Penetration Time (WDPT) for soil water repellency analysis

The heat from wildfires volatilizes soil’s organic compounds which form a waxy layer when condensed on cooler soil particles causing soil to repel water. Timely assessment of soil water repellency (SWR) is critical for prediction and prevention of detrimental impacts of hydrophobic soils such as soi...

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Bibliographic Details
Main Authors: Danxu Wang, Emma Regentova, Venkatesan Muthukumar, Markus Berli, Frederick C. Harris, Jr.
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Machine Learning with Applications
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666827024000719
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