A systematic review on machine learning-aided design of engineered biochar for soil and water contaminant removal
The design and application of engineered biochar is crucial for removing contaminants from soil and water,yet its development and commercialization still depend on time- and labor-intensive experimental methods. Machine learning (ML) offers a faster alternative, but despite its growing use in biocha...
Saved in:
Main Authors: | Yunpeng Ge, Kaiyang Ying, Guo Yu, Muhammad Ubaid Ali, Abubakr M. Idris, Asfandyar Shahab, Habib Ullah |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2025-07-01
|
Series: | Frontiers in Soil Science |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fsoil.2025.1623083/full |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
From waste to resource: King coconut biochar as a green adsorbent for bisphenol A removal
by: Hashinika Matharage, et al.
Published: (2025-12-01) -
Remediation of heavy metal-contaminated paddy soils using biochar and its effect on corn growth and yield
by: Ni Nyoman Ari Mayadewi, et al.
Published: (2025-07-01) -
Research progress in effects of biochar on transport of inorganic pollutants in soil
by: ZHANG Dong, et al.
Published: (2016-07-01) -
Bio-Based Nanomaterials for Groundwater Arsenic Remediation: Mechanisms, Challenges, and Future Perspectives
by: Md. Mahbubur Rahman, et al.
Published: (2025-06-01) -
Influence of pyrolysis conditions on the adsorbent properties of hazelnut shell biochar to remove paracetamol, amoxicillin, and triclosan
by: Paula Madariaga-Segovia, et al.
Published: (2025-12-01)