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AI in Agriculture

AI in Agriculture

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 Compeer Ag Economist Megan Roberts opens with a fresh macroeconomic update on the Federal Reserve's recent rate cut decision, driven by weakening job growth despite persistent inflation concerns, before diving into artificial intelligence applications with Jennifer Coleman from The Directions Group. Jennifer breaks down the different types of AI and showcases cutting-edge tools for agronomy, livestock management, and real-time field monitoring currently being used on farms worldwide. She also addresses AI's limitations, including its inability to access unpublished data, make ethical decisions, or replace human intuition and relationship-building skills. The discussion covers implementation barriers including economic costs, cultural resistance, technological challenges, and quality concerns, while emphasizing why core farming skills like contextual decision-making and hands-on precision work remain irreplaceable.
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