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

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

Jalil Ghassemi Nejad  1 , Mun-Su Ju  1 , Jang-Hoon Jo  1 , Kyung-Hwan Oh  1 , Yoon-Seok Lee  2   3 , Sung-Dae Lee  4 , Eun-Joong Kim  5 , Sanggun Roh  6 , Hong-Gu Lee  1
Affiliations
Review

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

Jalil Ghassemi Nejad et al. Animals (Basel). .

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.

Keywords: methane emission estimation; model making and AI technologies.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
Enteric fermentation by beef and dairy cattle [11].
Figure 2
Figure 2
Contribution of GHG emissions from livestock industry.
Figure 3
Figure 3
Flow chart of developing AI-technology-based on-farm application model for measuring methane emissions from cattle.
See this image and copyright information in PMC

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