Animal biometric assessment using non-invasive computer vision and machine learning are good predictors of dairy cows age and welfare: The future of automated veterinary support systems
Digitally extracted biometrics from visible videos of farm animals could be used to automatically assess animal welfare, contributing to the future of automated veterinary support systems. This study proposed using non-invasive video acquisition and biometric analysis of dairy cows in a robotic dair...
Main Authors: | Sigfredo Fuentes, Claudia Gonzalez Viejo, Eden Tongson, Frank R. Dunshea, Hai Ho Dac, Nir Lipovetzky |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2022-12-01
|
Series: | Journal of Agriculture and Food Research |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666154322001211 |
Similar Items
-
Biometric Physiological Responses from Dairy Cows Measured by Visible Remote Sensing Are Good Predictors of Milk Productivity and Quality through Artificial Intelligence
by: Sigfredo Fuentes, et al.
Published: (2021-10-01) -
Livestock Identification Using Deep Learning for Traceability
by: Hai Ho Dac, et al.
Published: (2022-10-01) -
Welfare of dairy cows
by: EFSA Panel on Animal Health and Animal Welfare (AHAW), et al.
Published: (2023-05-01) -
MANAGEMENT INFLUENCE ON MASTITIS IN DAIRY COWS
by: I. ȚIBRU, et al.
Published: (2023-11-01) -
Development of prototype killed vaccine against Staphylococcus aureus mastitis in dairy cows
by: Hambali, Idris Umar
Published: (2018)