区域性农业碳排放核算与预测方法综述

doi:10.19640/j.cnki.jtau.2025.03.010

Journal of Tianjin Agricultural University ›› 2025, Vol. 32 ›› Issue (3): 50-53.doi: 10.19640/j.cnki.jtau.2025.03.010

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Review of regional agricultural carbon emission accounting and prediction methods

Yang Kaisi¹, Gao Bin¹, Jin Zhenghan^{2,Corresponding Author}

1. College of Computer and Information Engineering, Tianjin Agricultural University, Tianjin 300392, China;
2. School of Mechanical Engineering, Wuxi Institute of Technology, Wuxi 214121, Jiangsu Province, China

Received:2025-04-13 Online:2025-06-30 Published:2025-07-02

Abstract

Abstract: Driven by the “Dual Carbon” goals, accurate accounting and prediction of regional agricultural carbon emissions facilitate the formulation of carbon emission reduction measures. This paper systematically reviews the technical system of agricultural carbon emission accounting and prediction methods, categorizing carbon emission accounting methods into model estimation methods, sample plot inventory methods, and remote sensing estimation methods, while classifying prediction methods into system modeling methods, grey system prediction methods, and machine learning methods. The applicable scenarios and limitations of different approaches are analyzed too.

Key words: carbon emission accounting, carbon emission prediction, agricultural carbon emissions

CLC Number:

TP391

Yang Kaisi, Gao Bin, Jin Zhenghan. Review of regional agricultural carbon emission accounting and prediction methods[J]. Journal of Tianjin Agricultural University, 2025, 32(3): 50-53.

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URL: http://xuebao.tjau.edu.cn/EN/10.19640/j.cnki.jtau.2025.03.010

http://xuebao.tjau.edu.cn/EN/Y2025/V32/I3/50

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Review of regional agricultural carbon emission accounting and prediction methods

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