Combined simulation and optimization framework for irrigation scheduling in agriculture fields

Abstract In the context of growing evidence climate change and fact that agriculture uses about 70% all water available for irrigation in semi-arid areas, there is an increasing probability scarcity scenarios. Water optimization is, therefore, one main goals researchers stakeholders involved irrigated agriculture. Irrigation scheduling often conducted based on simple requirement calculations without accounting strong link between movement root zone, soil–water–crop productivity expenses. this work, we present a combined simulation framework aimed at estimating parameters maximize crop net margin. The component couples variably saturated porous media driven by with uptake yields. assures maximum gain minimum cost production during season. An application method demonstrates optimal solution exists substantially differs from traditional methods. contrast to methods, results show prevents logging provides more constant value content entire season within zone. As result, case, margin exhibits substantial increase respect method. also shown strongly depend particular soil hydraulic properties given field site.