The “Smart Green Water” project addresses the efficient management of water in irrigation systems through the use of Digital Twins, an advanced technology that creates dynamic and real-time virtual representations of physical systems. These digital twins integrate data from local and remote sensors to simulate, analyze, and optimize the operation of irrigation systems under various scenarios, such as water scarcity, climate change, or crop modifications.
The main objective is to develop an adaptable tool for generating digital twins in irrigation installations (drip or pivot) applicable to different configurations and types of crops (herbaceous and woody).
The project includes the implementation of digital twins in several pilot plots located in regions of the SUDOE space (Catalonia with a maize plot, Andalusia with an olive grove, Murcia with a vineyard, Nouvelle-Aquitaine with a maize plot, and Alentejo with an olive grove). These plots are managed by voluntary irrigators.
The information provided by the irrigators facilitates the virtual reproduction of the irrigation system in these plots. The results from the pilot plots make it easier to transfer the digital twin generation tool to other plots of different sizes, crops, and locations.
The tool is implemented as a plugin for the QGIS geographic information system, an open-source software developed in Python. This plugin uses the open-source software Epanet to generate hydraulic models of irrigation networks.
Hydraulic Simulation: Analyzes variables such as pressures and flow rates under different operating scenarios.
Real-Time Connection: Updates data from sensors installed in the field and nearby agro-climatic stations.
Temporal Analysis: Conducts historical data analysis from sensors and generates reports to facilitate decision-making.
Graphical Visualization: Provides graphics such as pressure histograms and meteorological data analysis, downloadable in .png, .html, or .csv formats.
Optimization of water use and energy resources.
Reduction of operational costs.
Improved decision-making based on accurate simulations.
In conclusion, the advancement of digital twins represents an innovative solution for efficiently managing water resources in agriculture, adapting to changing environmental conditions and the specific needs of users.
