AI Meets Agriculture: Building Smarter, Greener Food Systems
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AI Meets Agriculture: Building Smarter, Greener Food Systems
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In this episode of The Q&AI Podcast, Bob Friday sits down with Professor Yongsheng Chen from Georgia Tech to explore the transformative role of AI in agriculture. From early neural networks to cutting-edge urban farming systems, Professor Chen shares his journey from environmental engineering to building AI-powered agricultural ecosystems. Tune in as they discuss precision farming, hyperspectral imaging, decentralized food systems, and the future of urban agriculture powered by reclaimed resources and autonomous
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Key points covered:
AI’s evolution in agriculture: From early neural networks to modern machine learning applications in crop monitoring and yield prediction
Precision farming with imaging and sensors: Using satellite, drone, and robotics data to optimize fertilizer and pesticide use
Urban farming and decentralized agriculture: Repurposing urban spaces for sustainable food production using AI and reclaimed resources
Georgia Tech’s pilot systems: Real-world implementation of controlled environment agriculture using dorm wastewater and AI-driven monitoring
Networking’s role in smart agriculture: How connectivity and real-time data enable autonomous farming systems and decision-making
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Where to find Prof. Yongsheng Chen
LinkedIn: – https://www.linkedin.com/in/yongsheng-chen-2823521b4/
Where to find Bob Friday
LinkedIn: – https://www.linkedin.com/in/bobfriday/
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Keywords
AI in agriculture, Urban farming, Decentralized agriculture, Controlled environment agriculture, Precision farming, Hyperspectral imaging, Machine learning in farming, Sustainable food systems, Agricultural robotics, Vertical farming, Reclaimed water irrigation, Smart agriculture, AI-powered crop monitoring, Networking in agriculture, Georgia Tech agriculture research
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We hope you enjoyed this episode!