Computer vision algorithms to help decision-making in cattle production
P Guarnido-Lopez, Y Pi, J Tao, E D M Mendes, L O Tedeschi · 2025
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Description
Guarnido-Lopez and co-authors review computer vision tools for decisions in cattle production in a 2025 paper. Herd checks by hand are slow and prone to personal bias. Cameras plus deep learning can sort images, outline animals, spot objects, and pull out measures in an automatic way.
Such systems can estimate feed intake, body weight and gain, body shape scores, health status, and breeding performance. The review weighs where each tool helps beef and dairy work, in both barn and range settings. The stated goal for the field is farm ready systems that run live on site, turning pictures into same day choices.
Catalog record
| CREATOR | P Guarnido-Lopez, Y Pi, J Tao, E D M Mendes, L O Tedeschi |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 43 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |