Corso in "Artificial Intelligence and Data-Driven Technologies for Precision Livestock Production"

This course is offered in collaboration with the PhD School in Animal and Food Science

Period

31th Agust - 4th September 2026

Location

Agripolis Campus (Viale dell'università, 16. 35021 Legnaro - PD)

Google maps link

Instructors
Dr. Guilherme J. M. Rosa (link), Professor at the Department of Animal & Dairy Sciences and Department of Biostatistics & Medical Informatics, University of Wisconsin Madison

Dr. Joao Dorea (link), Professor at the Department of Animal & Dairy Sciences and Department of Biological Systems Engineering Informatics, University of Wisconsin-Madison.

Organization / contacts

Please forward your requests of information to Alessio Cecchinato (alessio.cecchinato@unipd.it)

Course Description

This graduate-level course (PhD and advanced MS) is designed for researchers and professionals in animal sciences, including nutrition, physiology, management, genetics, and reproduction, working in academia or industry, particularly those interested in data analytics, artificial intelligence (AI), and precision livestock systems. The course is structured with four sessions per day from Monday to Friday (with Wednesday afternoon reserved for discussion and networking), combining lectures with hands-on demonstrations using real data, software tools, and algorithms that participants can directly apply in research and industry R&D settings.


Topics

  • Big Data and Data Science in Livestock
  • Planning Research Studies in in Data-Intensive Animal Sciences
  • Artificial Intelligence in Animal Agriculture
  • Multidimensional Regression and Classification
  • Machine Learning Techniques for Animal Science
  • Image Processing and Computer Vision for livestock
  • Infrared and Hyperspectral Imaging
  • Wearable Sensing Technology
  • Acoustic Monitoring Systems
  • Genomic Prediction and High-Dimensional Genomic Data
  • Mining Operational Farm data
  • Large Language Models in Animal Science applications
  • Multimodal Data Integration
  • AI for Precision Nutrition and Health Monitoring