Research output per year
Research output per year
Description
UAV-based high-resolution multispectral time-series orthophotos utilized to understand the relation between growth dynamics, imagery temporal resolution, and end-of-season biomass productivity of biomass sorghum as bioenergy crop. Sensor utilized is a RedEdge Micasense flown at 40 meters above ground level at the Energy Farm- UIUC in 2019.
| Date made available | May 10 2021 |
|---|---|
| Publisher | University of Illinois Urbana-Champaign |
Keywords
- High throughput phenotyping
- Bioenergy crops
- Machine learning
- Unmanned aerial vehicles
Research output
- 1 Article
-
Understanding Growth Dynamics and Yield Prediction of Sorghum Using High Temporal Resolution UAV Imagery Time Series and Machine Learning
Varela, S., Pederson, T., Bernacchi, C. J. & Leakey, A. D. B., May 2021, In: Remote Sensing. 13, 9, 1763.Research output: Contribution to journal › Article › peer-review
Open Access
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