Performance of human observers and an automatic 3-dimensional computer-vision-based locomotion scoring method to detect lameness and hoof lesions in dairy cows
Performance of human observers and an automatic 3-dimensional computer-vision-based locomotion scoring method to detect lameness and hoof lesions in dairy cows
Samenvatting
The objective of this study was to determine if a 3-dimensional computer vision automatic locomotion scoring (3D-ALS) method was able to outperform human observers for classifying cows as lame or nonlame and for detecting cows affected and nonaffected by specific type(s) of hoof lesion. Data collection was carried out in 2 experimental sessions (5 months apart).
| Organisatie | Van Hall Larenstein |
| Lectoraat | Herd Management and Smart Dairy Farming |
| Gepubliceerd in | Journal of Dairy Science Elsevier, [S.l.], Vol. 101, Uitgave: 7, Pagina's: 6322-6335 |
| Jaar | 2018 |
| Type | Artikel |
| ISSN | 0022-0302 |
| Taal | Engels |
