Day 4

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Paper title IrriDesk: An automatic irrigation DSS which integrates crop modelling with sensoring and remote sensing data
Authors
  1. Joaquim Bellvert Institute of Research, Agrifood and Technology (IRTA) Speaker
  2. Joaquim Bellvert Institute of Research, Agrifood and Technology (IRTA)
  3. Magí Pàmies Institute of Research, Agrifood and Technology (IRTA)
  4. Jordi Virgili Institute of Research, Agrifood and Technology (IRTA)
  5. Mireia Torres Torres winery
  6. Jaume Casadesús Institute of Research, Agrifood and Technology (IRTA)
Form of presentation Poster
Topics
  • C2. Digital Twins
    • C2.01 Towards a Digital Twin of the Earth - advances and challenges ahead
Abstract text In a scenario of water scarcity, sound irrigation management is needed while increasing productivity in an efficient manner. Therefore, the development of new technological tools capable of helping farmers to carry out precision irrigation is essential. Irrigation scheduling is not only based on estimates of crop evapotranspiration. It is also important to know about crop water status, water allocation throughout the growing season, crop responses to water stress and its effect on yield and quality and weather forecasts. At the same time, the tool should interoperate between different source of data, the cloud which hosts the model, the farmer and the irrigation programmer.
IrriDesk® is an automatic DSS which combines digital twin and IoT technologies. IrriDesk closes the irrigation control loop autonomously, on a daily basis, importing sensor and remote sensing data and sending updated prescriptions to irrigation controllers. Simulations of the whole irrigation season are made by a digital twin to provide variable irrigation prescriptions compliant with site-specific strategies. In particular, the model assimilates estimates of the biophysical parameters of the vegetation (FAPAR) from Sentinel-2. In future versions, IrriDesk® will also assimilate estimates of crop evapotranspiration estimated obtained from surface energy balance models using Sentinel-2 and Sentinel-3 imagery (Sentinels for Evapotranspiration, SEN4ET). This study shows the results of a study case carried out in a commercial vineyard of 7.3-ha. The vineyard had three different irrigation sectors which different water requirements. A regulated deficit irrigation strategy which consisted on stressing vines during pre-veraison was adopted using IrriDesk®. Results showed the potentiality of this tool to conduct a precision irrigation since the amount of water automatically applied in each irrigation sector was able to maintain the pre-established thresholds of crop water status throughout the growing season, as well as to improve water productivity and farmer’s time saving. The total amount of water applied in each irrigation sector ranged from 175 to 195 mm. This amount of water was significantly lower in comparison to previous years and surrounding vineyards. An analysis of the spatio-temporal variability of crop evapotranspiration was also conducted using the SEN4ET approach and values compared with those simulated by IrriDesk®.