Abstract
<p>IrrigaSys is a decision support system (DSS) for irrigation water management based on online, open<br>access tools. The system includes remote access to local meteorological stations for weather<br>conditions, a MM5 model for weather forecast, the MOHID-Land model for the computation of the<br>soil water balance and irrigation scheduling, and a MySQL database for data repository. Despite its<br>complexity, the data necessary to run IrrigaSys is minimal, and include the location of the agricultural<br>field, crop type, sowing and harvest dates, soil texture, irrigation method, and daily/weekly irrigation<br>depths applied by the farmer. Based on this information, the system automatically downloads the<br>weather data from the meteorological station located closest to the agricultural plot, as well as the<br>weather forecast for the seven days following the current date. The soil water balance is then<br>computed for the previous and following week as well as the crop irrigation needs using the MOHIDLand<br>model. Results are made available via a web interface, a mobile app, SMS, and email. Besides the<br>model outputs, the IrrigaSys further provides the Normalized Difference Vegetation Index (NDVI) for<br>the agricultural field. The NDVI is computed from Sentinel 2 spectral bands with a resolution of 10m,<br>and is updated every time new Sentinel 2 imagery data (with cloud cover < 10%) is available. The<br>IrrigaSys has been developed in close cooperation with the Water Board Association of the Sorraia<br>Valley irrigation district (15360 ha), southern Portugal, over the last 5 years, supporting 103 plots of<br>30 farmers during the last irrigation season. As a result, the main limitation is naturally associated to<br>the difficulty in providing reliable estimates for all field plots based on calibrated model data. As the<br>next step, the service should start automatically identifying the culture status based on satellite<br>information as well as providing fertigation recommendations to farmers.</p>
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