✉news EnvironmentWildlife first seen 17 h ago, last 53 min ago, peak #11

Deep Learning Deployed to Detect 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 technology to swine deadstock sites to detect wildlife disease risks before they spread to livestock. The approach uses machine learning models to monitor animal activity around carcass disposal locations, aiming to identify potential disease transmission pathways from wildlife to pigs. The pork industry is watching the development as African swine fever and other diseases remain a major concern for biosecurity.

Why now: Wildlife-to-livestock disease transmission, especially African swine fever, is a pressing biosecurity concern for pork producers.

Pork Businessswine industrywildlife disease researchers

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

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