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1 Ergebnisse
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The Study of Light-weight YOLOv4 Model for Rice Seedling an..:
, In:
2022 International Conference on Computer Applications Technology (CCAT)
,
Li, Li-Hua
;
Chung, Kai-Lun
;
Jiang, Ling-Qi
.. - p. 1-6 , 2022
Link:
https://doi.org/10.1109/CCAT56798.2022.00008
RT T1
2022 International Conference on Computer Applications Technology (CCAT)
: T1
The Study of Light-weight YOLOv4 Model for Rice Seedling and Counting
UL https://suche.suub.uni-bremen.de/peid=ieee-10006771&Exemplar=1&LAN=DE A1 Li, Li-Hua A1 Chung, Kai-Lun A1 Jiang, Ling-Qi A1 Sharma, Alok Kumar A1 Liu, Ye-Shan YR 2022 K1 Training K1 Image recognition K1 Image color analysis K1 Computational modeling K1 Object detection K1 Computer architecture K1 Production K1 object detection K1 YOLOv4 K1 rice seedling K1 rice counting SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/CCAT56798.2022.00008 DO https://doi.org/10.1109/CCAT56798.2022.00008 SF ELIB - SuUB Bremen
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