Semi-supervised auto-labeling and zero-short recognition for monitoring poultry behaviors
The poultry industry faces growing challenges in ensuring animal welfare, preventing disease outbreaks, and addressing labor shortages. Traditional vision intelligence-based behavior monitoring needs intensive manual labeling, which is impractical for large-scale operations, necessitating advanced, efficient, and scalable solutions. Utilizing artificial intelligence technologies to monitor poultry behavior accurately in real-time can revolutionize animal welfare practices and […]
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