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Integrating Heterogeneous Across-Country Data for Proxy-Based Random Forest Prediction of Enteric Methane in Dairy Cattle.

Enyew Negussie,Oscar Gonzalez-Recio,Mara Battagin,Ali-Reza Bayat,Tommy Boland,Yvette de Haas,Aser Garcia-Rodriguez,Philip C. Garnsworthy,Nicolas Gengler,Michael Kreuzer,Bjoern Kuhla,Jan Lassen,Nico Peiren,Marcin Pszczola,Angela Schwarm,Helene Soyeurt,Amelie Vanlierde,Tianhai Yan,Filippo Biscarini

Journal of Dairy Science（2022）

Cited 9|Views49
Key words
enteric methane,machine learning,prediction models,proxies for methane
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