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A study on paprika disease detection with YOLOv4 model usin..:
, In:
2021 21st International Conference on Control, Automation and Systems (ICCAS)
,
Jin, Hyung-Jun
;
Kim, Hyong-Suk
- p. 1615-1618 , 2021
Link:
https://doi.org/10.23919/ICCAS52745.2021.9649895
RT T1 <cTitle>2021 21st International Conference on Control, Automation and Systems (ICCAS)</cTitle>: T1 <Title>A study on paprika disease detection with YOLOv4 model using a customed pre-training method</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9649895&Exemplar=1&LAN=DE A1 Jin, Hyung-Jun A1 Kim, Hyong-Suk YR 2021 SN 2642-3901 K1 Codes K1 Automation K1 Transfer learning K1 Object detection K1 Control systems K1 Real-time systems K1 Task analysis K1 Paprika disease K1 Artificial intelligence K1 YOLOv4 K1 CSPDarknet53 SP 1615 OP 1618 LK http://dx.doi.org/https://doi.org/10.23919/ICCAS52745.2021.9649895 DO https://doi.org/10.23919/ICCAS52745.2021.9649895 SF ELIB - SuUB Bremen
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