Real-time optimization of irrigation scheduling in agriculture

A simulation optimization approach is developed for managing irrigation operations in agriculture. The approach combines a highly complex crop growth and yield simulation model with an optimization algorithm to calculate an irrigation sequence that maximizes crop yield. The approach overcomes the limitations of many existing irrigation scheduling optimization methods that rely on simpler but more inaccurate crop growth and yield models to ensure computational tractability. The performance of the approach is demonstrated through simulation.