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An Efficient Detector for Automatic Tomato Classification Systems

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An Efficient Detector for Automatic Tomato Classification Systems

An Efficient Detector for Automatic Tomato Classification Systems

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Additional information

Journal

IEEE Access
Authors

DUY-LINH NGUYEN
XUAN-THUY VO
ADRI PRIADANA
JEHWAN CHOI
KANG-HYUN JO
Keywords

Convolutional neural network (CNN), tomato detection and classification, receptive field
attention convolution (RFAConv), YOLOv8n
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