Xylem Vue’s Agrotwin application is an all-in-one management solution for real-time monitoring and control of agricultural irrigation infrastructure. The tool uses data integration, advanced algorithms and analytics, and big data techniques to enhance agricultural irrigation management, support decision-making, streamline the use of resources and optimize operational infrastructure management.

This application, which is part of the Xylem Vue platform, provides centralized irrigation network management. Thus, it enables irrigation associations to meet climate change-related challenges and manage water and energy efficiently, ensuring food productivity and a more sustainable urban environment.

• Integration of assets (SCADA, irrigation programmers, etc.) into a single platform, and visualization of real-time and historical data on water balances, flow, and pressure and consumption variables at asset, network and infrastructure level.
• Centralized infrastructure monitoring and operation of irrigation infrastructure, including the upstream network, pumps, pressure regulators and irrigation heads. 
• Configuration of manual and automatic real-time alarms that detect pressure and flow rate anomalies, non-revenue water, and consumption that exceeds allocations, all displayed on a single GIS interface. Integration with CMMS systems to enhance work order management.
• Detection of leaks, fraud, excess pressure and overconsumption in real time, as well as consumption forecasts, using advanced algorithms.
• Definition of the intake allocations assigned to each plot and the related alarms, segmented by periods, surface area and type of crop.
• Irrigation scheduling: time interval display and configuration, either by volume or period, opening/closing of valves automatically and remotely, and information on valve status (open/closed).
• Leveraging of agricultural satellite imagery (NDVI, NDWI, NDMI) to support smarter decisions and optimize crop management. Visualization of crop analysis and field humidity thresholds based on sensor data and satellite image analysis, and adjustment of water consumption to cater for crop needs.
• GIS inventory and web services: mapping of irrigation network and infrastructure, along with registration of agricultural plots. Detection of discrepancies with cadastral identification.