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

WORKSHOP “UNDERSTANDING SEMANTIC WEB AND ONTOLOGIES FOR PRECISION LIVESTOCK FARMING” (ORGANIZED BY GENT UNIVERSITY)