Konferenzpaper

Predicting Methane Emissions from Dairy Cows Using Machine Learning


AutorenlisteSahraei, A; Knob, D; Eisert, J; Aufmhof, L; Santo, NK; Gandolf, K; May, K; König von Borstel, U; König, S; Gattinger, A; Breuer, L

Erschienen inLandwirtschaft und Ernährung. Transformation macht nur gemeinsam Sinn

HerausgeberlisteBruder, V; Röder-Dreher, U; Breuer, L; Herzig, C; Gattinger, A

Jahr der Veröffentlichung2024

Seiten500-501

DOI Linkhttps://doi.org/10.5281/zenodo.11204339

Konferenz17. Wissenschaftstagung Ökologischer Landbau


Abstract

Methane emissions from dairy cows are a major contributor to agricultural greenhouse gas emissions. Developing accurate and efficient methods to predict methane emis-sions from dairy cows is essential to develop mitigation strategies. Machine learning (ML) models offer a promising approach to this challenge, as they can learn complex relationships between methane emissions and a variety of indicators, such as milk pro-duction, feed intake, and environmental conditions. In this study, we propose to use ML models to predict methane emissions from dairy cows at Gladbacherhof, an organically managed research farm of Justus Liebig University Giessen, located in Villmar, Ger-many. The primary focus is not only on accurate predictions but also on identifying key indicators that influence methane production. This aims to inform cost-effective meas-urement strategies and facilitate the development of targeted mitigation approaches, aligning with the financial interests of farmers.




Autoren/Herausgeber




Zitierstile

Harvard-ZitierstilSahraei, A., Knob, D., Eisert, J., Aufmhof, L., Santo, N., Gandolf, K., et al. (2024) Predicting Methane Emissions from Dairy Cows Using Machine Learning, in Bruder, V., Röder-Dreher, U., Breuer, L., Herzig, C. and Gattinger, A. (eds.) Landwirtschaft und Ernährung. Transformation macht nur gemeinsam Sinn. Frankfurt am Main: FiBL Deutschland e.V.. pp. 500-501. https://doi.org/10.5281/zenodo.11204339

APA-ZitierstilSahraei, A., Knob, D., Eisert, J., Aufmhof, L., Santo, N., Gandolf, K., May, K., König von Borstel, U., König, S., Gattinger, A., & Breuer, L. (2024). Predicting Methane Emissions from Dairy Cows Using Machine Learning. In Bruder, V., Röder-Dreher, U., Breuer, L., Herzig, C., & Gattinger, A. (Eds.), Landwirtschaft und Ernährung. Transformation macht nur gemeinsam Sinn. (pp. 500-501). FiBL Deutschland e.V.. https://doi.org/10.5281/zenodo.11204339


Zuletzt aktualisiert 2025-21-05 um 17:57