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Leveraging AI to Unlock the Hidden Potential of Food System Byproducts | Ned Spang скачать в хорошем качестве

Leveraging AI to Unlock the Hidden Potential of Food System Byproducts | Ned Spang 3 месяца назад

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Leveraging AI to Unlock the Hidden Potential of Food System Byproducts | Ned Spang

Did you know that nearly one-third of the food we produce never gets eaten? Discover how upcycling and AI-driven data solutions can turn food waste into valuable resources — benefiting both the environment and human health! In this insightful talk, Ned Spang, Associate Professor at UC Davis, dives deep into the urgent issue of food loss and waste. By merging environmental science with food technology, he reveals practical strategies and innovative tools — ike the Byproduct Database and upcycling — to unlock the hidden value in food processing byproducts. Key topics and takeaways include: Why food loss and waste represent not only a big problem, but also a huge opportunity for sustainability and new revenue streams Overview of the EPA’s food recovery hierarchy and why keeping food in the human supply chain maximizes its impact The concept of upcycled foods — transforming “waste” streams like brewer’s spent grain and tomato byproducts into high-value, nutritious ingredients The critical role of manufacturing as a centralized node for recovering usable food byproducts Data-driven tools such as the Byproduct Database that guide entrepreneurs and manufacturers in valorizing food system waste How artificial intelligence (AI) speeds up data collection, analysis, and cross-database linking for enhanced decision-making and discovery Real-world examples from California’s major crops (tomatoes, almonds, pistachios, pomegranates) and what the future holds for food upcycling innovation Don't miss step-by-step explanations of how byproduct mass balance works, challenges in extracting high-value compounds like lycopene, and how AI can help bridge gaps in current knowledge. The talk discusses partnerships with initiatives such as the Periodic Table of Food Initiative and FoodAtlas for a holistic approach to nutrition, health, environmental metrics, and scalable solutions. LINKS & RESOURCES More videos from the AI for Food Product Development Symposium:    • AI for Food Product Development Symposium ...   Dive deeper into the Byproduct Database and FoodAtlas: Discover how you or your business can put food waste to productive use https://www.foodatlas.ai/ https://www.byproductdatabase.com/ Learn more and explore resources: UC Davis Food Loss and Waste Collaborative: https://foodwaste.ucdavis.edu/ Upcycled Food Association: https://www.upcycledfood.org/ Rethinking Food Waste Through Economics and Data (ReFED): https://refed.org/ Periodic Table of Food Initiative: https://foodperiodictable.org/ Food Atlas Project: https://www.foodatlas.ai/ FEATURED SPEAKER: Edward Spang, Ph.D. Director, Robert Mondavi Institute for Wine and Food Science, Associate Professor, Food Science and Technology University of California, Davis https://foodscience.ucdavis.edu/peopl... #FoodWaste #Upcycling #AI #FoodTech #Sustainability #UCDAvis ---------- The AI Institute for Next Generation Food Systems (AIFS) integrates artificial intelligence with digital and biological technologies to meet the growing demands on our crop and food production — from seed to consumption. AIFS tackles challenges to our food supply chain to ensure an efficient, sustainable, nutritious, and safe food supply while mitigating the impacts of changing conditions. We further develop AI infrastructure by providing publicly-available AI models and data sets specific to the food system. This work is supported by AFRI Competitive Grant no. 2020-67021-32855/project accession no. 1024262 from the USDA National Institute of Food and Agriculture. Subscribe to our channel and turn on notifications for more insights on AI and food systems. Visit the AIFS website for comprehensive resources and updates: https://aifs.ucdavis.edu/ Join our email list to stay hear about upcoming events and speakers: http://eepurl.com/hEVLcP

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