< Programme
Monday 2 September 2024 – Afternoon, 14:30
Session 42. Digital technologies for management
Room: Sarda – Palazzo Affari Below ground Floor
Chair: Morgan-Davies / Gautier
Session Type: Challenge session
Theatre Session
14:30
The impact of virtual fence on cattle’s learning curve over several weeks with multiple borders
L. Wahlund, P. Nielsen, A. Jansson, L. Rönnegård
14:45
Virtual and electrical fences – perspectives from a survey for cattle farmers in Norway and Sweden
F. Petters, P. P. Nielsen, L. Wahlund
15:00
Drone RGB Image-Derived Vegetation Indices to Predict Yield in Humidicola (Brachiaria humidicola) Grass
A. Astillero, E. C. Lin
15:15
Advancing Agricultural Efficiency: Unmanned Aircraft Vehicle in Soil and Pasture Management
G. Menezes, A. Franco, J. Dorea
15:30
Can we use open data to track grazing intensity?
E. Padrón-Tejera, M. J. García-García, D. C. Pérez-Marín, F. Aranda-Viana, F. Maroto-Molina
16:15
Digital ear tags in remote monitoring – exploring new (ab)use cases
K. Ueda, A. Ingham, G. Bishop-Hurley, S. Rieder
16:30
Tracking bull reproductive dominance by measuring male-female interactions using Bluetooth Low Energy
M. J. García García, E. Padrón Tejera, D. C. Pérez Marín, F. Maroto Molina
16:45
Improving animal health and welfare by using sensor data in herd management and dairy cattle breeding – a joint initiative of ICAR and IDF
C. Egger-Danner, I. Klaas, L. Brito, K. Schodl, J. Bewley, V. Cabrera, N. Charfeddine, N. Gengler, M. Haskell, B. Heringstad, M. Hostens, M. Iwersen, R. Linde, K. Stock, A. Stygar, E. Vasseur
17:00
TechCare: Technologies to manage the welfare of sheep and goats – from pilots to large-scale studies
C. Morgan-Davies, G. Tesniere, C. M. Dwyer, G. Jorgensen, E. Gonzalez-Garcia, J. M. Gautier, L. Grova, M. Decandia, F. Kenyon, G. Caja Lopez, I. Halachmi, A. Godo, E. Sossidou, S. Patsios, L. T. Cziszter, T. W. Keady, B. Mcclearn, G. Lagriffoul, N. Litalien, L. Riaguas
17:15
Transferring a 3D imaging POC to beef cattle breeding stakeholders to do on-farm high-throughput phenotyping: the PHENO3D example
A. Lebreton, C. Gillé-Perrier, L. Delattre, C. Allain, M. Bruyas
17:30
Guideline to validate sensor output of animal-based measurements
J. Maselyne, A. Stygar, M. Pastell, Q. Allueva Molina, A. Ramon Pérez, P. Llonch, H. L. Ko
17:45
AgrifoodTEF’s pioneering EU service provider from research to industry for the development of Artificial Intelligence and robotic solutions
Z. Guy, J. M. Gautier, J. Contreras
Poster Session
42.13
Innovative Orchestration in Sheep Farming-IOSheep 4.0: Ensuring complete welfare, ecofriendly, quality and traceability of lambs
B. Odevci, E. Emsen
42.14
The current use and demand for tracking systems on German grazing cattle farms
J. Maxa, S. Thurner
42.15
Veterinarians’ perceptions on Precision Livestock Farming application in pig health management
L. Dieste-Pérez, X. Zhou, B. Garcia-Morante, A. Burrell, K. Eenink, C. Correia-Gomes, J. Segalés, M. Sibila, T. Tobias, C. Vilalta, A. Bearth
42.16
Optimizing Low-Frequency Ultrasound for Enhanced Sow Pregnancy Diagnosis Using Vision Transformer-High (ViT-H) Approach
T. K. Kim, Y. H. Choi, J. S. Hong, H. J. Park, J. E. Kim, Y. D. Jeong, C. H. Kim, S. H. Back, S. J. Sa, J. H. Lee, J. S. Kim, H. C. Cho
42.17
Predicting the botanical composition of pastures using Near Infrared Spectroscopy
C. Reyes-Palomo, S. Gil-Domínguez, S. Sanz-Fernández, C. Díaz-Gaona, P. Rodríguez-Hernández, V. Rodríguez-Estévez, N. Núñez-Sánchez
