A Dynamic Data Driven Application System to Manage Urban Agricultural Ecosystems in Smart Cities

Abstract

The world is currently facing significant challenges in feeding a growing population with declining resources. Urban agriculture and vertical farming have the potential to provide a revolutionary new food supply and distribution network capable of feeding large populations in the 21st Century; as well as increase quality and reduce negative impacts on the natural environment. The concept has attracted a lot of attention from governments and business throughout the world recently. This paper describes a framework for applying technologies from Agent Based Models, Simulation and Computational Intelligence to analyze, optimize and manage “ecosystems” for urban agriculture and vertical farming for food production from the perspective of stakeholders including consumers, producers, and policy makers.