RESEARCH THE SCIENTIFIC BASIS TO SUPPORT INTELLIGENT OPERATION OF IRRIGATION SYSTEMS

Uong Huy Hiep1, Pham Duc Dai2

1.Center for Participatory Irrigation Managememt –

VietNam Academy for Water Resources

2.Thuyloi University Hanoi, Vietnam

Summary:  Smart Agriculture holds great importance for countries worldwide, particularly in the face of water scarcity. The efficient utilization of water is crucial across all sectors, with a pressing need in Vietnam. A significant portion of Vietnam’s agricultural land relies on irrigation from river branches, where valve gates or pumps are employed to divert water to irrigation channels. Traditional irrigation practices have been based on human experience. However, the current scenario, marked by climate change and complex agricultural activities, has led to fluctuating water levels and flows in rivers, varying rapidly. The reliance on control policies devoid of predictive models has resulted in a lack of reliability, impacting irrigation planning. Furthermore, coordination among the operations of irrigation channel systems in different areas along the same river is essential to ensure an adequate water supply. This paper introduces an innovative approach that utilizes IoT technology and simulation cores to create a computational framework. This framework integrates real-time IoT data with the MIKE 11 model to predict water flows and levels for irrigation channels. The effectiveness of this application is assessed using An Kim Hai river in Vietnam.

Keywords: Organizational structure, governance mechanisms, enterprise governance

Information resource

SCIENCE AND TECHNOLOGY; WATER RESOURCES

Vietnam Academy for Water Resources

SPECIAL PUBLICATION NO. 4; ISSN:1859-4255/12 – 2023