The aim of this website is to publish the results of the research project “Automation of precise irrigation of fruit trees based on soil and plant water sensors (IRRIFRUT).

Project PID2019-106226RB-C2/AEI/10.13039/501100011033. Project funded by the State Research Agency (AEI) through the Resolution of the Presidency of the State Research Agency, which approves the call for early processing for the year 2019 of the procedure for granting aid to “R & D Projects”, under the State Program for Knowledge Generation and Scientific and Technological Strengthening of the R & D System and the State Program for R & D oriented to the Challenges of Society, the State Plan for Scientific and Technical Research Innovation 2017-2020.

The project addresses the priority line derived from the National R & D Plan related to the conservation and integral, efficient and sustainable management of water resources, which includes aspects as relevant as technological improvements, management and efficient use of irrigation water: irrigation strategies at plot level and precision irrigation based on sensors, application of remote sensing and TICs.

Main objectives (UPCT subproject)

  • Design and integration of volumetric water content, conductivity, and temperature sensor using impedance and frequency spectrometry measurement techniques, provided with auto-calibration algorithms.
  • Design of an evaluation platform for thermal and multispectral measurement systems in the experimental orchard “Tomas Ferro”. Soil sensor validation and deployment of sensor networks with LPWAN communication protocol.
  • Determination of water stress indices in pomegranate and traditional and intensive almond trees based on thermal and multi-spectral sensors and establishment of relationships with meteorological variables and other plant and soil water stress indicators.
  • Development of methodology for the data collection process at the field level, for the creation of a consistent and transversal database. Analysis of measured variables for robustness analysis of water status indicators by crop groups.
  • Agro-physiological evaluation of scheduled deficit irrigation with soil and/or plant water status sensors in pomegranate and almond orchards.
  • Processing techniques and system validation for obtaining indices and models from thermal and multispectral imaging sensors.