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New HotHog app predicts heat stress in pigs

HotHog, a new smartphone application that predicts heat stress in pigs, is now available for download and use, a team of Agricultural Research Service (ARS) and university scientists announced this week.

Available in the Apple App Store and Google Play Store, HotHog taps into local weather data to predict the relative comfort or heat stress levels of pigs on an hourly, daily or weekly basis. Swine producers can then use this information to take pre-emptive measures, like ensuring plenty of drinking water, cooling the pigs with fans or mists, and limiting transport to early morning hours.        

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What Successful AI Implementation Looks Like in the Protein Industry | Ben Allen, CEO of BinSentry

Video: What Successful AI Implementation Looks Like in the Protein Industry | Ben Allen, CEO of BinSentry

In this conversation, Ben Allen, CEO of BinSentry, explores what separates successful AI implementation from early experimentation across the protein industry. As producers begin integrating artificial intelligence into their operations, the most effective implementations share common themes: strong data foundations, practical use cases, and a focus on solving real operational challenges. Ben discusses why data quality and integration are essential for AI to deliver meaningful results, and why technology alone is not enough. Successful adoption also depends heavily on people, training, and company culture, ensuring teams understand how to use new tools and trust the insights they provide. Looking ahead, the conversation highlights the steps protein producers can take today—from improving data infrastructure to embracing digital tools—to position their operations for long-term success in an increasingly AI-driven industry.