AI Meets Agriculture: Building Smarter, Greener Food Systems

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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We hope you enjoyed this episode!