✉news Environment Wildlife first seen 6 h ago, last 50 min ago, peak #11

Deep Learning Deployed to Track Wildlife Disease Risks at Swine Deadstock Sites

Original: Using Deep Learning to Detect Wildlife Disease Risks at Swine Deadstock Sites

Researchers are applying deep learning to monitor wildlife activity around swine deadstock disposal sites, aiming to detect disease risks such as African swine fever before they spread to livestock. The approach uses image-based models to identify which scavenging animals visit carcass sites. Industry coverage in the pork sector highlights the technology as a promising biosecurity tool for protecting herds.

Why now: Ongoing concerns about African swine fever and other wildlife-borne diseases threatening pork production are driving interest in AI-based surveillance tools.

Pork Business swine industry wildlife disease surveillance

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Using Deep Learning to Detect Wildlife Disease Risks at Swine Deadstock Sites · Pork Business

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