Role: PI P. Celicourt
Period: Mars 01, 2020 - October 31, 2020
This research project aims to develop the prototype of an advanced and self-managed sensing system for groundwater table level measurements, named Irrigarinati, with networking, metadata auto-creation, and uncertainty quantification capabilities. The end goal is to enable improved real-time planning and management of groundwater resources for irrigation in horticultural farms.
Irrigarinati will primarily consist in a) an innovative sensing system (its front-end) for water level measurements with the ability to auto-generate its deployment-context metadata and b) an online software platform (its back-end) to organize the collected data and auto-generated metadata according to standardized data management practices.
Ultimately, the back-end system may be extended to integrate the vision of agricultural hydroinformatics which promotes sustainable agriculture as water-management-centric practices supported by a sociotechnical-system approach to their information and simulation models development.
See the funding announcement here.