Detection of miss-seeding of sweet corn in a plug tray using a residual attention network

HIGHLIGHTS

• who: Lulu Gao et al. from the School of Information and Control Engineering, Qingdao University of Technology, Qingdao, China have published the research: Detection of Miss-Seeding of Sweet Corn in a Plug Tray Using a Residual Attention Network, in the Journal: (JOURNAL)
• what: The results of the experiment showed that the average accuracy of this recognition model was 98%. The Residual Attention Based on ResNet18, paper proposed the CBAM-ResNet45 model, which introBased this on ResNet18, this paper proposed the CBAM-ResNet45 model, which introduced the convolutional attention block module (CBAM)module to the . . .
  

   

  

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