A parsimonious software sensor for estimating the individual dynamic pattern of methane emissions from cattle
R. Munoz-Tamayo, J. F. Ramirez Agudelo, R. J. Dewhurst, G. Miller, T. Vernon, H. Kettle
This paper develops a software sensor using a grey-box model to predict individual cattle methane emissions based on feeding behavior data, showing high accuracy with concordance correlation coefficients of 0.78 and 0.99 for different predictors.
bioRxiv · Apr 10, 2018Bioengineering