Supervised learning techniques for dairy cattle body weight prediction from 3D digital images
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,...
Main Authors: | Grum Gebreyesus, Viktor Milkevych, Jan Lassen, Goutam Sahana |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2023-01-01
|
Series: | Frontiers in Genetics |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2022.947176/full |
Similar Items
-
Proximity Interactions in a Permanently Housed Dairy Herd: Network Structure, Consistency, and Individual Differences
by: Kareemah Chopra, et al.
Published: (2020-12-01) -
How Far Are We From Data-Driven and Animal-Based Welfare Assessment? A Critical Analysis of European Quality Schemes
by: Anna H. Stygar, et al.
Published: (2022-05-01) -
Assessment of Heat Stress Impact on Daily Activity Pattern of Dairy Cattle
by: Ciprian Radu, et al.
Published: (2023-06-01) -
Biomarkers and <i>De Novo</i> Protein Design Can Improve Precise Amino Acid Nutrition in Broilers
by: María Cambra-López, et al.
Published: (2022-04-01) -
Precision livestock farming: a qualitative exploration of swine industry stakeholders
by: Babatope E. Akinyemi, et al.
Published: (2023-05-01)