Y. Chen
Georgia Institute of Technology,
United States
Summary:
Rapid advancements in disruptive technologies, including autonomous vehicles, aerial mobility, and edge computing, are reshaping urban infrastructure, leading to dramatic changes like the repurposing of parking lots and local retail spaces. These transformations present unique opportunities to address growing urban challenges, particularly supply and demand discrepancies, by coupling decentralized resource recovery with precision urban agriculture. In this talk, we introduce an integrated framework that leverages artificial intelligence (AI) to connect decentralized resource recovery systems with urban precision farming, aiming to enhance sustainability and resilience. This holistic approach tackles critical issues including environmental degradation, resource scarcity, and food security. AI acts as a transformative enabler, delivering real-time insights, optimizing recovery processes, and promoting circular economy principles through efficient resource management and recycling. Within decentralized urban farming, AI-driven technologies improve precision and productivity by optimizing resource utilization, reducing greenhouse gas emissions, and boosting local food production—ultimately advancing human well-being. Our solution demonstrates its transformative potential through detailed case studies and rigorous analysis. By merging advanced AI technologies with resource recovery and digital farming, cities can redefine their ecological footprint and build adaptive, sustainable, and resilient ecosystems. This integrated approach lays the foundation for urban environments to thrive in harmony with nature, fostering a future where technology and sustainability converge.