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1 Ergebnisse
1
Early Detection of Pine Needle Diseases in Southeast US For..:
, In:
2024 International Conference on Smart Computing, IoT and Machine Learning (SIML)
,
Adedapo, Segun M.
;
Zurqani, Hamdi A.
;
McAlpine, John F.
.. - p. 256-261 , 2024
Link:
https://doi.org/10.1109/SIML61815.2024.10578138
RT T1 <cTitle>2024 International Conference on Smart Computing, IoT and Machine Learning (SIML)</cTitle>: T1 <Title>Early Detection of Pine Needle Diseases in Southeast US Forests: A Deep Learning Approach Using UAV Imagery</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10578138&Exemplar=1&LAN=DE A1 Adedapo, Segun M. A1 Zurqani, Hamdi A. A1 McAlpine, John F. A1 Blazier, Michael A. A1 Cunningham, Kyle YR 2024 K1 Deep learning K1 Training K1 Forests K1 Accuracy K1 Image processing K1 Autonomous aerial vehicles K1 Needles K1 object detection K1 Disease K1 deep learning K1 unmanned aerial vehicle SP 256 OP 261 LK http://dx.doi.org/https://doi.org/10.1109/SIML61815.2024.10578138 DO https://doi.org/10.1109/SIML61815.2024.10578138 SF ELIB - SuUB Bremen
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