Work is progressing on the automatic detection of irrigation leaks for the GO DENORI

The project “Automatic Detection and Notification of Irrigation Leaks (DENORI)” , in which ASAJA-Sevilla participates along with a consortium led by Loyola University Andalusia and which also includes the University of Huelva and the company Trifolium Farms , continues its work to improve the efficiency of agricultural irrigation through the implementation of a system based on artificial intelligence and data analysis for the automatic detection and notification of irrigation leaks.

In recent months, following the modeling of the irrigation network at the test farm, the project has deployed pressure sensors and installed approximately twenty flow meters in the field to detect any anomalies in the irrigation system of the different sectors under monitoring. In parallel with this task, the University of Huelva team is monitoring these sectors using satellite imagery with high-resolution (3 m pixel) data, refining a methodology based on the use of indices such as NDVI and NDWI to detect areas affected by leaks.