Detection and identification of potato-typical diseases based on multidimensional fusion atrous-cnn and hyperspectral data

HIGHLIGHTS

• who: Wenqiang Gao and collaborators from the Department of Electric Power, Inner Mongolia University of Technology, Hohhot, China have published the Article: Detection and Identification of Potato-Typical Diseases Based on Multidimensional Fusion Atrous-CNN and Hyperspectral Data, in the Journal: (JOURNAL)
• what: The authors propose an Atrous-CNN network structure that fuses multiple dimensions to address these problems. The aim of this paper is the following: To address the current problems of potato diseases that can cause serious harm to human health and crop yield and economic losses, the authors use deep learning technology . . .
  

   

  

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