AI-powered digital twin for sustainable agriculture and greenhouse gas reduction

Agricultural and livestock farming are important contributors to greenhouse gas (GHG) emissions, with methane emissions from ruminants being particularly significant. This research aims to showcase the innovative development of a digital twin platform integrated with AI for analyzing both current an...

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Bibliographic Details
Main Authors: Baihua Li, Mike Thompson, Tom Partridge, Ruiming Xing, Jack Cutler, Bashar Alhnaity, Qinggang Meng
Format: Default Conference proceeding
Published: 2025
Subjects:
AI
machine learning
digital twin
greenhouse gas emissions
sustainable agriculture
livestock
environment
Online Access:https://hdl.handle.net/2134/28082573.v1
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