Identification and Forecasting of Key Influencing Factors in China’s Agricultural Carbon Emissions: Based on Machine Learning Method

Identification and Forecasting of Key Influencing Factors in China’s Agricultural Carbon Emissions: Based on Machine Learning Method

Identifying the key factors influencing agricultural carbon emissions and accurately predicting future trends are essential for achieving carbon peak and carbon neutrality goals. This study aims to assess carbon emissions in agriculture from 1997 to 2022, construct an accurate model to identify the...

Full description

Saved in:
Bibliographic Details
Main Authors: Juntong Liu, Xiong Peng, Malan Huang, Yuzhou Ma, Cancan Jiang, Wanling Hu, Jinxin Zhang
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Systems
Subjects:
carbon emissions
agricultural
machine learning
key influencing factors
prediction
Online Access:https://www.mdpi.com/2079-8954/13/7/554
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2079-8954/13/7/554

Similar Items