Parallel sessions
WEDNESDAY 11/09/2024 – 10:00 – 11:15
SESSION 21 – COWS WELFARE
Sala Italia
Chairman: Daniele Torreggiani
Automatic monitoring of body temperature in dairy cows using implanted sensors
Elaine van Erp – Van der Kooij, HAS green academy, Netherlands
Automated recording of cow brush visits in a commercial dairy farm setting
Gerben Hofstra, HAS green academy, Netherlands
Predicting sleep events in dairy cows by machine learning using respiratory rate and 3D accelerometer data
Chris Major Ncho, ETH Zurich, Switzerland
Automatic milking systems data reveal that presence of strangers in the farm is stressful for cows
Ludovica Mammi, University of Bologna, Italy
SESSION 22 – COWS FEEDING
Sala avorio
Chairman: Michael Iwersen
Growth and metabolism responses differ in male and female Holstein dairy calves born to cows fed different energy levels in late lactation to influence body condition scores at dry-off
Elizabeth French, United States Department of Agriculture, United States
Optimizing agricultural sustainability: a multi-objective approach for crop rotation and diet formulation in dairy farms under European Common Agricultural Policy (EU CAP)
Yijing Gong, University of Wisconsin-Madison, United States
FeMIR – MIR Spectral predictions for feed and energy efficiency – Practical Application
Laura M. Dale, Regional Association for Performance and Quality Inspection in Animal Breeding, Germany
Exploring Milk Productivity and Energy Output Dynamics across Lactation Periods in Automatic Milking Systems through Multi-Algorithm Clustering
Karina Brotto Rebuli, University of Torino, Italy
Use of Progeo Dairy Manager (PDM) software to asses precision during preparation of TMR mixing wagon.
Simone Silvestrelli, University of Bologna, Italy
SESSION 23 – PIGS SOUND
Sala bianca
Chairman: Erik Vranken
Assessing the Robustness of Pig Cough Detection Models to Changes in Farm Conditions
Sreenivasa Upadhyaya, SoundTalks nv, Belgium
PLF Technologies that provide improved leading indicators of growing pig health, welfare and performance
Dale Polson, Boehringer Ingelheim Vetmedica, United States
Potential optimization of antibiotic use in nursery piglets based on analysis of data comparing the use of sound monitoring of respiratory health status and seasonal mortality
Fabian Erusalimsky, SoundTalks nv, Belgium
Economic assessment of a sound-based monitoring tool to drive early intervention against respiratory diseases under commercial conditions
Carmen Alonso, Boehringer Ingelheim Vetmedica, Germany
Global epidemiology of respiratory heath status in swine growing populations sound-monitored: A 1-year observational retrospective data base study
Carmen Alonso, Boehringer Ingelheim Vetmedica, Germany
SESSION 24 – COMPUTER VISION POULTRY
Sala verde
Chairman: Hongwei Xin
Optimizing Poultry Weight Management with Difference Sequence Method and Advanced Computer
Marta Alexy, Eötvös Loránd University, Hungary
Development of imaging tracking algorithms for the automatic recording of welfare indicators of broiler on farm
Pauline Créach, ITAVI, France
Monitoring individual behaviours of broilers using AI vision technology
Theo Demmers, Royal Veterinary College, United Kingdom
Enhancing Thermal Comfort Assessment in Day-Old Broilers: A Cluster Index Approach Utilizing Computer Vision Techniques
Tomas Norton, KU Leuven, Belgium
Predictive Precision: AI Histology for Preventing Breast Muscle Myopathy and Food Loss
Jonathan Dayan, The Hebrew University of Jerusalem, Israel
SESSION 25 – PLF HUMAN & MANAGEMENT
Sala rossa
Chairman: Sandra Rose
A Human-centric Design Approach to PLF Product Development: Case Study of Small-Scale Agroforestry Farms
Michael Odintsov Vaintrub, Regrowth, Italy
Students’ Knowledge of and Attitudes Toward Dairy Production
Tami Brown-Brandl, University of Nebraska-Lincoln, United States
Optimizing swine facility management with real-time anomaly detection methods
Felipe Picchi, Iowa State University, United States
Continuous monitoring of the physical load for humans and animals
Daniel Berckmans, KU Leuven, Belgium
Continuous monitoring of the individual metabolic energy balance via wearables for humans and animals
Daniel Berckmans, KU Leuven, Belgium