Dataset for Optimizing Urban Agriculture in Kermanshah, Iran: Location, Technology, and Workforce Allocation

This dataset supports the study on optimizing urban agriculture in Kermanshah, Iran, using ANP-TOPSIS and mixed-integer programming models. It includes parameters for two crops (tomatoes and cauliflower) across eight urban areas, covering product demand (kg), manpower hours (hours/hectare), machine working hours (hours/hectare), water usage (liters), land costs (USD), taxes (USD), and cultivation productivity (kg/hectare). Data were collected from local agricultural reports and expert consultations in Kermanshah in 2020-2023. The Excel file contains multiple tables, each labeled with parameters such as 'p1' (tomatoes) and 'p2' (cauliflower). Units are specified in the file where applicable. The dataset can be analyzed using optimization software like MATLAB or GAMS to replicate the study’s results (e.g., farm sizes of 8.3 and 6.3 hectares, NPV of $3.52M). For sensitive workforce data, only anonymized values are provided.