Trends and driving forces of agricultural carbon emissions: A case study of Anhui, China.

Trends and driving forces of agricultural carbon emissions: A case study of Anhui, China.

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To facilitate accurate prediction and empirical research on regional agricultural carbon emissions, this paper uses the LLE-PSO-XGBoost carbon emission model, which combines the Local Linear Embedding (LLE), Particle Swarm Algorithm (PSO) and Extreme Gradient Boosting Algorithm (XGBoost), to forecas...

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Bibliographic Details
Main Authors: Yanwei Qi, Huailiang Liu, Jianbo Zhao, Shanzhuang Zhang, Xiaojin Zhang, Weili Zhang, Yakai Wang, Jiajun Xu, Jie Li, Yulan Ding
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-01-01
Series:PLoS ONE
Online Access:https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0292523&type=printable

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https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0292523&type=printable

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