UAV- Based Phenotyping Data Analysis Workshop
Please enjoy the upcoming UAV-Based Phenotyping Data Analysis Workshop, March 31st - April 4th, 2025. The five-day hands-on training will cover flight planning, data collection, processing, and feature extraction for UAV-based crop phenotyping using LiDAR, hyperspectral, and RGB imaging. This workshop is designed for faculty, students, and researchers interested in remote sensing, UAV data analysis, phenotyping, and field data collection techniques.
Indiana Corn and Soybean Innovation Center (ICSC): 4750 US-52, West Lafayette, IN 47906
Register Here: UAV- Based Phenotyping Data Analysis Workshop
*Lunch will be provided daily from 12:00–1:00 PM for registered participants.
| Monday, 3/31 |
GRYFN Hardware Overview, Flight Planning, and Data Processing Matt Bechdol, CEO, GRYFN |
| Tuesday, 4/1 |
Data Collection, Downloading, and a 2-hour Data-to-Science (D2S) session Karoll Quijano, Graduate Research Assistant, Laboratory for Applications of Remote Sensing, Agriculsural & Biological Engineering, Ecological Sciences and Engineering, Purdue University |
| Wednesday, 4/2 |
Basic Theory and Introduction to Data Processing Karoll Quijano, Graduate Research Assistant, Laboratory for Applications of Remote Sensing, Agriculsural & Biological Engineering, Ecological Sciences and Engineering, Purdue University |
| Thursday, 4/3 |
Advanced Data Processing, Feature Extraction, and Hands-on Practice Karoll Quijano, Graduate Research Assistant, Laboratory for Applications of Remote Sensing, Agriculsural & Biological Engineering, Ecological Sciences and Engineering, Purdue University |
| Friday, 4/4 |
Final Processing and Project Completion Karoll Quijano, Graduate Research Assistant, Laboratory for Applications of Remote Sensing, Agriculsural & Biological Engineering, Ecological Sciences and Engineering, Purdue University |
Registration Details:
Deadline: Monday, March 24th
Register Here: UAV- Based Phenotyping Data Analysis Workshop
*Lunch will be provided daily from 12:00–1:00 PM for registered participants.
Note: Participants should bring their own laptops with required software pre-installed.
- Feature Extraction (Python/Anaconda)
- Data Visualization (CloudCompare, QGIS)
For questions, please contact Dr. Yang Yang at yang1527@purdue.edu.