Departments

Builds and trains the models that turn field data into precise, explainable farm decisions, across three units: deep learning, Arabic agricultural NLP, and data analytics.

Machine vision for plant disease detection, drone imaging, remote sensing (Sentinel-2, Landsat) and smart cameras for livestock monitoring.

Designs and deploys the sensor networks that collect soil, water and climate data in real time, across four units: hardware, networks, power and firmware.

Turns research outputs into digital tools for farmers, researchers and decision-makers: mobile apps, web platforms and databases.

The Unit's field arm: runs the research farm's experimental fields, greenhouses, aquaculture pond and livestock unit, and tests solutions under real field conditions.

Human resources, finance, procurement and contracts that keep the research departments running.

Specialised AI and IoT training for students, engineers and farmers, in partnership with Navera.

Builds local and international partnerships and follows funding opportunities and MoUs.

Supports publication in peer-reviewed journals and media coverage of the Unit's work.

Runs the Unit's servers, platforms and cybersecurity, building towards a university private cloud.