Agricultural Intelligence and Digital Engineering (AIDE)

Mission

To elevate agricultural productivity and sustainability through cutting-edge digital technologies and advanced analytical methodologies.

We employ a wide range of tools to monitor crop growth and development, including remote sensing technologies (UAVs and satellites), optical sensors, ground-based robotics, and Internet-of-Things (IoT) devices. By harnessing the power of data-driven Artificial Intelligence (machine and deep learning models) and physics-driven process-based models (radiative transfer model, crop growth model), we deliver accurate and robust predictions on crop performance.

Join us!

I am looking for one Master and one PhD student to join our lab at the Department of Biosystems Engineering, University of Manitoba. The anticipated start date is January or May 2025. Students with strong self-motivation and passion for agricultural engineering are encouraged to apply.
Please find more details here.