Machine Learning for Remote Sensing: Agriculture and Food Security
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.
Important dates
June 19-24, 2022: CVPR conferenceJune 20: this tutorial (PM session)
Schedule
All times are in local time for New Orleans.
| Time | Topic | Instructor |
|---|---|---|
| 1:30-2:10pm | Remote sensing data and nuances | Kerner |
| 2:10-2:30pm | Overview of Earth observations for agriculture | Nakalembe |
| 2:30-3:00pm | Use cases and example methods | Kerner |
| 3:00-3:30pm | Break | |
| 3:30-4:00pm | Labeled datasets for agriculture | Nakalembe |
| 4:00-5:30pm | Working session: demo/hands-on learning | Zvonkov, Kerner |
Instructors
- Dr. Hannah Kerner (University of Maryland)
- Dr. Catherine Nakalembe (University of Maryalnd)
- Ivan Zvonkov (University of Maryland)