Engineering-oriented explainable machine learning and digital twin framework for sustainable dairy production and environmental impact optimisation

Enhancing productivity while reducing environmental impact presents a major engineering challenge in sustainable dairy farming. This study proposes an engineering-oriented explainable machine learning and digital twin framework for multi-objective optimisation of milk yield and nitrogen-related emis...

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Bibliographic Details

Main Authors:	Ruiming Xing, Baihua Li, Shirin Dora, Michael Whittaker, Janette Mathie
Format:	Default Article
Published:	2025
Subjects:	Engineering Information and computing sciences Mathematical sciences Machine learning Digital twin Multi-objective optimisation Sustainable dairy production Environmental sustainability Milk yield Nitrogen emissions Ammonia prediction
Online Access:	https://hdl.handle.net/2134/30413830.v1
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