Research on irrigation and drainage optimization strategy combining hydrological model and data mining technology

Abstract

With the deepening of the integrated development of agriculture, the precision of intelligent irrigation and drainage is increasingly required. In this paper, in the research of optimizing irrigation and drainage strategies, a virtual platform is used to realize the running simulation of hydrological model and model the hydraulic characteristic parameters in it. At the same time, the optimal parameters of the model are predicted and adjusted by combining data mining technology to build a water and fertilizer irrigation intelligent decision-making system to improve the utilization rate of water resources. After prediction and testing, the system adjusts the soil water content parameter downward in the first half of this year, so that the coincidence rate between the predicted water diversion and the actual water diversion is more than 95%, the irrigation water utilization rate is greatly improved, and the soil drainage is more in line with the actual situation.