Daily soil temperature prediction using hybrid deep learning and SHAP for sustainable soil management

The thermal conditions within soil layers represent essential information across diverse fields including sustainable agriculture, power generation, biological research, ecological studies, forest management, and thermal energy systems. Therefore, this study assessed prediction capabilities for subt...

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Bibliographic Details

Published in:	Engineering Applications of Computational Fluid Mechanics
Main Authors:	Meysam Alizamir, Kaywan Othman Ahmed, Salim Heddam, Sungwon Kim, Jeong Eun Lee
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2025-12-01
Subjects:	Soil temperature deep learning GRU-CNN LSTM-CNN SHAP
Online Access:	https://www.tandfonline.com/doi/10.1080/19942060.2025.2541686