Machine Learning for Remote Sensing:
Agriculture and Food Security

CVPR Tutorial: June 20, 2022 1:30-5:30 pm

In person: Room 243-245 | Virtual: join through CVPR virtual website

This tutorial will cover fundamental topics of machine learning for remote sensing applications in agriculture and food security, focusing on the African context. You can find the full list of tutorials on the CVPR 2022 website. You must be registered for the conference to attend the tutorial, which is being held in person.


All times are in local time for New Orleans.

Time Topic Instructor
1:30-2:10pm Remote sensing data and nuances [slides, video] Kerner
2:10-2:30pm Overview of Earth observations for agriculture [slides, video] Nakalembe
2:30-3:00pm Use cases and example methods [slides, video] Kerner
3:00-3:30pm Break
3:30-4:00pm Labeled datasets for agriculture [slides, video] Nakalembe
4:00-5:30pm OpenMapFlow hands-on demo [slides, video] Zvonkov


Dr. Hannah Kerner
(University of Maryland)
Dr. Catherine Nakalembe
(University of Maryland)
Ivan Zvonkov
(University of Maryland)

Additional Resources