DIBAF, University of Tuscia, 01100 Viterbo, Italy.
6 Department of Agriculture, Food and Environment-DAFE, Università di Pisa, 56124 Pisa, Italy.
7 LIGHT Center Brescia, 25123 Brescia, Italy.
PMID: 39771778
PMCID: PMC11679443
DOI: 10.3390/s24248042
Abstract
We present an artificial intelligence (AI)-enhanced monitoring framework designed to assist personnel in evaluating and maintaining animal welfare using a modular architecture. This framework integrates multiple deep learning models to automatically compute metrics relevant to assessing animal well-being. Using deep learning for AI-based