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1 Ergebnisse
1
Tomato detection in challenging scenarios using YOLO-based ..:
, In:
2023 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)
,
Cardellicchio, Angelo
;
Reno, Vito
;
Devanna, Rosa Pia
.. - p. 54-59 , 2023
Link:
https://doi.org/10.1109/MetroAgriFor58484.2023.1042430
RT T1 <cTitle>2023 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)</cTitle>: T1 <Title>Tomato detection in challenging scenarios using YOLO-based single stage detectors</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10424305&Exemplar=1&LAN=DE A1 Cardellicchio, Angelo A1 Reno, Vito A1 Devanna, Rosa Pia A1 Marani, Roberto A1 Milella, Annalisa YR 2023 K1 YOLO K1 Transfer learning K1 Lighting K1 Detectors K1 Data models K1 Yield estimation K1 Task analysis SP 54 OP 59 LK http://dx.doi.org/https://doi.org/10.1109/MetroAgriFor58484.2023.10424305 DO https://doi.org/10.1109/MetroAgriFor58484.2023.10424305 SF ELIB - SuUB Bremen
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