Multi-user Random Water Distribution in Greenhouse Based on Hybrid Intelligent Algorithm

Abstract

Multi-user random water distribution technology solves the shortage of available water and unreasonable water distribution in multi-user irrigation zones. With the goal of maximizing irrigation revenue, a multi-user random opportunity constrained programming water allocation model is established. Monte Carlo is used to simulate random variables. A hybrid intelligent algorithm is applied to solve the water allocation model to obtain the best allocation of different crops in different growth periods. Compared with traditional irrigation methods, the multi-users water optimal allocation model can increase the income by 21.32%.