
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
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