UAV Multisensory Data Fusion and Multi-Task Deep Learning for High-Throughput Maize Phenotyping.
- DOI
- 10.3390/s23041827
- Published
- 2023 Feb 6
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s23041827,
title = {UAV Multisensory Data Fusion and Multi-Task Deep Learning for High-Throughput Maize Phenotyping.},
author = {Nguyen C and Sagan V and Bhadra S and Moose S},
year = {2023},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s23041827},
url = {https://doi.org/10.3390/s23041827}
}RIS
TY - JOUR TI - UAV Multisensory Data Fusion and Multi-Task Deep Learning for High-Throughput Maize Phenotyping. AU - Nguyen C AU - Sagan V AU - Bhadra S AU - Moose S PY - 2023 JO - Sensors (Basel, Switzerland) DO - 10.3390/s23041827 UR - https://doi.org/10.3390/s23041827 ER -
APA
C, N., V, S., S, B., & S, M. (2023). UAV Multisensory Data Fusion and Multi-Task Deep Learning for High-Throughput Maize Phenotyping.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s23041827
Source records
- pubmed · retrieved 2026-09-25T06:14:29.699Z