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家畜甲烷排放估算的进展:数据收集方法、模型开发及人工智能技术的作用综述

Advances in Methane Emission Estimation in Livestock: A Review of Data Collection Methods, Model Development and the Role of AI Technologies.

作者信息

Ghassemi Nejad Jalil, Ju Mun-Su, Jo Jang-Hoon, Oh Kyung-Hwan, Lee Yoon-Seok, Lee Sung-Dae, Kim Eun-Joong, Roh Sanggun, Lee Hong-Gu

机构信息

Department of Animal Science and Technology, Sanghuh College of Life Sciences, Konkuk University, Seoul 05029, Republic of Korea.

School of Biotechnology, Hankyong National University, Anseong 17579, Republic of Korea.

出版信息

Animals (Basel). 2024 Jan 29;14(3):435. doi: 10.3390/ani14030435.

Abstract

This review examines the significant role of methane emissions in the livestock industry, with a focus on cattle and their substantial impact on climate change. It highlights the importance of accurate measurement and management techniques for methane, a potent greenhouse gas accounting for 14-16% of global emissions. The study evaluates both conventional and AI-driven methods for detecting methane emissions from livestock, particularly emphasizing cattle contributions, and the need for region-specific formulas. Sections cover livestock methane emissions, the potential of AI technology, data collection issues, methane's significance in carbon credit schemes, and current research and innovation. The review emphasizes the critical role of accurate measurement and estimation methods for effective climate change mitigation and reducing methane emissions from livestock operations. Overall, it provides a comprehensive overview of methane emissions in the livestock industry by synthesizing existing research and literature, aiming to improve knowledge and methods for mitigating climate change. Livestock-generated methane, especially from cattle, is highlighted as a crucial factor in climate change, and the review underscores the importance of integrating precise measurement and estimation techniques for effective mitigation.

摘要

本综述探讨了甲烷排放在畜牧业中的重要作用,重点关注牛及其对气候变化的重大影响。它强调了准确测量和管理甲烷的重要性,甲烷是一种强大的温室气体,占全球排放量的14%-16%。该研究评估了用于检测牲畜甲烷排放的传统方法和人工智能驱动的方法,特别强调了牛的贡献以及对特定区域公式的需求。各章节涵盖了牲畜甲烷排放、人工智能技术的潜力、数据收集问题、甲烷在碳信用计划中的重要性以及当前的研究与创新。该综述强调了准确测量和估算方法对于有效缓解气候变化以及减少牲畜养殖活动中甲烷排放的关键作用。总体而言,它通过综合现有研究和文献,全面概述了畜牧业中的甲烷排放,旨在增进对缓解气候变化的认识和方法。牲畜产生的甲烷,尤其是牛产生的甲烷,被视为气候变化的一个关键因素,该综述强调了整合精确测量和估算技术以实现有效缓解的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7a4e/10854801/12ae3cc9a498/animals-14-00435-g001.jpg

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