Evaluation of a global repository of published dairy cattle methane emission prediction models on a Northern Irish dataset: Individual performance versus a stacked ensemble approach.

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Bibliographic Details
Title: Evaluation of a global repository of published dairy cattle methane emission prediction models on a Northern Irish dataset: Individual performance versus a stacked ensemble approach.
Authors: Ross S; School of Computing, Ulster University, Belfast, Northern Ireland, BT15 1ED; Livestock and Production Science Branch, Agri-Food and Biosciences Institute, Hillsborough, Northern Ireland, BT26 6DR., Wang H; School of Computing, Ulster University, Belfast, Northern Ireland, BT15 1ED., Yan T; Livestock and Production Science Branch, Agri-Food and Biosciences Institute, Hillsborough, Northern Ireland, BT26 6DR., Zheng H; School of Computing, Ulster University, Belfast, Northern Ireland, BT15 1ED. Electronic address: h.zheng@ulster.ac.uk., Shirali M; Livestock and Production Science Branch, Agri-Food and Biosciences Institute, Hillsborough, Northern Ireland, BT26 6DR. Electronic address: masoud.shirali@afbini.gov.uk.
Source: Journal of dairy science [J Dairy Sci] 2026 Jul; Vol. 109 (7), pp. 7228-7247. Date of Electronic Publication: 2026 Apr 09.
Publication Type: Journal Article
Journal Info: Publisher: American Dairy Science Association Country of Publication: United States NLM ID: 2985126R Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1525-3198 (Electronic) Linking ISSN: 00220302 NLM ISO Abbreviation: J Dairy Sci Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1525-3198
DOI:10.3168/jds.2025-27294