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Deep learning used 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 to swine deadstock sites to identify wildlife disease risks, according to Pork Business. The approach aims to flag patterns that could signal disease spread between wildlife and livestock, an area of growing concern for pork producers and biosecurity officials monitoring threats like African swine fever.

Why now: Growing concern over wildlife-to-livestock disease transmission, particularly African swine fever, is driving interest in AI-based surveillance tools.

Pork Businessswine producers

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Evidence

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

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