Parallel Agent-Based Framework for Analyzing Urban Agricultural Supply Chains
Manuel Ignacio Manríquez, Verónica Gil-Costa, Mauricio Marı́n
Future Internet
Urban Farm DB summary
A technical paper presenting a parallel agent-based framework for analyzing vegetable trade dynamics within a metropolitan area. It combines agent-based and discrete-event techniques to model interactions among farmers (who select crops based on market trends and environmental risk) and vendors and consumers (who adapt purchasing behavior to seasonality, prices and availability). To handle the computational demands of large-scale scenarios, it employs an optimistic approximate parallel execution strategy and a credit-based load-balancing mechanism to improve scalability. The framework is presented as enabling detailed analysis of urban food distribution systems relevant to smart cities and digital agriculture.