< Programme
Tuesday 3 September 2024 – Morning, 8:30
Session 56. PLF for health, behaviour and welfare, Part 1
Room: Sarda – Palazzo Affari Below ground Floor
Chair: Foy / Morgan
Session Type: Theme session
Theatre Session
8:30
Automated real-time activity monitoring in infectious disease experiments with various livestock species
H. P. Doekes, R. De Jong, I. Adriaens, N. Stockhofe-Zurwieden
9:00
Self-contained unit for remotely monitoring bison: ID, performance, welfare and health cues
B. Thomas, J. Church, J. Galbraith, Y. Montanholi
9:15
Detection of multiple feeding behaviours in calves – a comparison of sensor positions and window sizes
S. Addo, M. Safari, K. A. Zipp, F. Freytag, U. Knierim
9:30
Early prediction of declining health in small ruminants with accelerometers and machine learning
A. Montout, R. Bhamber, E. Morgan, C. Ioannou, T. Terrill, J. A. Van Wyk, T. Burghardt, A. W. Dowsey
9:45
Prediction of behavior activity of donkeys at pasture using data from a tri-axial accelerometer
M. Congiu, P. E. Milia, S. P. Rassu, A. Cesarani, C. Dimauro
10:00
Monitoring of nest use through RFID tracking in cage-free laying hens
F. Bordignon, C. Ciarelli, A. Trocino, G. Xiccato, A. Pezzuolo, F. Marinello
10:45
ModBehav, a supervised classification algorithm to predict goat behaviour from accelerometer data
S. Mauny, J. Kwon, N. Friggens, C. Duvaux-Ponter, M. Taghipoor
11:00
Exploring the retention of learning in dairy cows exposed to Virtual Fencing after 90 days of non-use
C. Aquilani, A. Confessore, V. Cecchini, E. Bianco, S. Bovolenta, S. Parrini, C. Pugliese
11:15
Rumen pH changes over a lactation of dairy cows in commercial farm environments
V. Ambriz-Vilchis, D. Shaw, A. Macrae
11:30
Integrating Infrared Thermography to Assess Thermal Stress and Behavior in Dairy Goats
N. Thomas Masebo, M. Bolcato, M. Zappaterra, V. Bocchi, B. Padalino, L. Nanni Costa
11:45
From MIR predicted fatty acids in bulk tank milk to a herd health monitoring tool for farmers
C. Fastré, C. Nickmilders, D. Santschi, D. Warner, M. Bahadi, C. Bertozzi, D. Veselko, F. Dehareng, N. Gengler, H. Soyeurt
12:00
Constitution of an international dataset on blood biomarkers in dairy cows: a preliminary study to develop milk MIR models
C. Grelet, L. Millot, V. Wolf, M. Lidauer, D. Santschi, F. Huot, H. Naya, A. Meikle, B. Martin, M. Coppa, J. Leblois, M. Crowe, B. Bapst, A. Köck, A. Mensching, M. Gelé, Gpluse Consortium, F. Dehareng
12:15
In-line milk analysis: how accurate can we get?
B. Aernouts, J. Díaz Olivares, A. Van Nuenen, M. Gote, X. Fu, J. Xie, I. Adriaens
Poster Session
56.14
A Deep-Learning Model to Identify Call-type and Individuality of Dairy Cattle
D. Gavojdian, M. Mincu, I. Nicolae, T. Lazebnik, A. Zamansky
56.15
TechCare: Monitoring semi-intensive meat sheep welfare through EID and weight
F. Kenyon, J. Duncan, G. Mitchell, L. Andrews, C. M. Dwyer, M. Reeves, H. Mcdougall, A. Hayward, A. Mclaren, A. Thomson, S. Beechener, C. Morgan-Davies
