Ercole Del Negro
Papers
1
Total Citations
3
H-Index
1
About
Ercole Del Negro is a leading researcher at the intersection of veterinary pathology and artificial intelligence, with a primary focus on porcine respiratory diseases and automated abattoir surveillance. His most impactful work centers on developing AI-based systems for the detection and scoring of pleurisy in slaughtered pigs, a critical step in monitoring the prevalence of *Actinobacillus pleuropneumoniae* infections. In his landmark 2025 field trial, Del Negro demonstrated that automated lesion scoring can reliably replace manual inspection, offering a scalable, objective tool for large-scale postmortem health assessments. This contribution has already garnered 3 citations and is poised to reshape how veterinary authorities track respiratory disease burdens across the swine industry. By bridging deep learning with practical abattoir workflows, Del Negro’s work not only enhances animal welfare surveillance but also provides a cost-effective framework for early outbreak detection. His research stands as a pioneering example of how AI can transform traditional veterinary diagnostics, making him a key figure in the emerging field of digital livestock epidemiology.
Research Focus
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Top Papers
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