Optimizing biochar for carbon sequestration: a synergistic approach using machine learning and natural language processing

Optimizing biochar for carbon sequestration: a synergistic approach using machine learning and natural language processing

Abstract Biochar is a promising technology for carbon storage and greenhouse gas (GHG) reduction, but optimizing it is challenging due to the complexity of natural systems. Machine learning (ML) and natural language processing (NLP) offer solutions through enhanced data analysis and pattern recognit...

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Bibliographic Details
Main Authors: Jiayi Li, Yixuan Chen, Chaojie Wang, Hanbo Chen, Yurong Gao, Jun Meng, Zhongyuan Han, Lukas Van Zwieten, Yi He, Caibin Li, Gerard Cornelissen, Hailong Wang
Format: Article
Language:English
Published: Springer 2025-01-01
Series:Biochar
Subjects:
Artificial intelligence
Biochar optimization
Carbon storage
Carbon neutrality
Bibliometric analysis
Online Access:https://doi.org/10.1007/s42773-024-00424-0
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https://doi.org/10.1007/s42773-024-00424-0

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