Shiruo-Hu/Modeling-Irrigation-Efficiency-Paradox-from-Farmers-Behaviors: Modeling Irrigation Efficiency Paradox from Farmers' Behaviors
Abstract
Modeling irrigation efficiency paradox This is an agent-based agricultural land expansion simulation model for analyzing the impact of irrigation efficiency improvements on agricultural water use and land expansion. File Description Agent.py: Core model file containing: Farmer class: Defines farmer agent behavior (irrigation decisions, land expansion decisions, etc.) Crop parameter reading functions Land expansion simulation functions Parameter calibration functions Simulation initialization functions SimAgent.py: Main simulation script containing: run_simulation(): Main function for running multiple random simulations main(): Main program entry point, configurable simulation parameters
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 18 January 2026