Autonomous Greenhouse Integrated System (AGIS): A Community-Driven Framework for Research and Education in Sustainable Agriculture

This paper introduces an applied framework AGIS, Autonomous Greenhouse Integrated System (AGIS), emphasizing the creation of a self-improving Autonomous Academia Industry for greenhouse agriculture. By leveraging historical metrics, real-time data, and advanced AI-driven analytics, AGIS transforms decentralized greenhouse farming into an evolving educational and research ecosystem. Participants, ranging from local growers to universities and private entities, continuously contribute data and benefit from a live repository of best practices, thereby advancing agricultural knowledge. Through federated learning, AI -driven perception systems, and circular economy principles, the framework iteratively refines its recommendations and strategies for optimized output, resource efficiency, and environmental stewardship. This synergy between academia, industry, and community cultivates a life long learning cycle that enhances food security, fosters equitable resource utilization, and drives socio-economic growth.