Supervised learning techniques for dairy cattle body weight prediction from 3D digital images.

ABSTRACT: Introduction: The use of automation and sensor-based systems in livestock production allows monitoring of individual cows in real-time and provides the possibility of early warning systems to take necessary management actions against possible anomalies. Among the different RT monitoring parameters, body weight (BW) plays an important role in tracking the productivity and health status. Methods: In this study, various supervised learning techniques representing different families of methods in the machine learning space were implemented and compared for performance in the prediction of body weight from 3D image data in dairy cows. A total of 83,011 records of contour data from 3D images and body weight measurements taken from a total of 914 Danish Holstein and Jersey cows from

SUBMITTER: Gebreyesus G 

PROVIDER: S-EPMC9849234 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature