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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-related disease risks, according to Pork Business. The approach aims to spot patterns that could signal disease spread between wildlife and livestock, helping farmers and veterinarians respond earlier. The technique reflects a broader push in agriculture toward AI-based surveillance tools.

Why now: Animal disease surveillance is a growing concern for the pork industry and wildlife managers.

Pork Businessswine industry

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

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