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