Shiruo-Hu/Modeling-Irrigation-Efficiency-Paradox-from-Farmers-Behaviors: Modeling Irrigation Efficiency Paradox from Farmers' Behaviors

Read full text
Authors: Shiruo-Hu, Jianshi Zhao
Cited by: 1

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