Enteric Methane Emission in Livestock Sector: Bibliometric Research from 1986 to 2024 with Text Mining and Topic Analysis Approach by Machine Learning Algorithms

Enteric Methane Emission in Livestock Sector: Bibliometric Research from 1986 to 2024 with Text Mining and Topic Analysis Approach by Machine Learning Algorithms

Methane (CH<sub>4</sub>) from livestock, particularly enteric CH<sub>4</sub> emission (EME), is one contributor to greenhouse gas emissions and climate change. This review analyzed 1294 scientific abstracts on EME in ruminants from 1986 to May 2024, using Scopus<sup>®&l...

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Bibliographic Details
Main Authors: Chiara Evangelista, Marco Milanesi, Daniele Pietrucci, Giovanni Chillemi, Umberto Bernabucci
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Animals
Subjects:
ruminants
enteric methane
text mining
topic analysis
machine learning
Online Access:https://www.mdpi.com/2076-2615/14/21/3158
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