Exploring a Siamese Neural Network as a novel individual cow identification technique for daily monitoring free water intake
| dc.rights.license | CC-BY-NC-ND | |
| dc.contributor | Miel Hostens | |
| dc.contributor.advisor | Hostens, Miel | |
| dc.contributor.author | Vincenzo, Matteo Di | |
| dc.date.accessioned | 2024-02-02T01:01:05Z | |
| dc.date.available | 2024-02-02T01:01:05Z | |
| dc.date.issued | 2024 | |
| dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/45892 | |
| dc.description.sponsorship | Utrecht University | |
| dc.language.iso | EN | |
| dc.subject | Water is an essential nutrient for a healthy and productive dairy herd, as most life processes require water. As cows produce more milk, their water requirement increases. Therefore, insight into the drinking behavior of dairy herds is important, but the data currently available is outdated. Furthermore, although the importance of water is globally recognized, the daily water intake of individual cows is currently not monitored, making it impossible to ensure that all cows meet their water n | |
| dc.title | Exploring a Siamese Neural Network as a novel individual cow identification technique for daily monitoring free water intake | |
| dc.type.content | Master Thesis | |
| dc.rights.accessrights | Open Access | |
| dc.subject.courseuu | Bioinformatics and Biocomplexity | |
| dc.thesis.id | 27558 |
