Default header image

Comparison of imputation methods for missing production data of dairy cattle

Authors: J You, JL Ellis, S Adams, M Sahar, M Jacobs, D Tulpan

Publication Date: 2023/12/1

Nowadays, vast amounts of data representing feed intake, growth, and environmental impact of individual animals are being recorded in on-farm settings. Despite their apparent use, data collected in real-world applications often have missing values in one or several variables, due to reasons including human error, machine error, or sampling frequency misalignment across multiple variables. 

Read it here: https://www.sciencedirect.com/science/article/pii/S1751731123002185