A hybrid approach for plant disease detection using e-gan and capsnet

HIGHLIGHTS

• who: N. Vasudevan from the Department of Data and Business Systems, School of Computing, SRM Institute of and Technology, Kattankulathur, Tamilnadu, India have published the research: A Hybrid Approach for Plant Disease Detection Using E-GAN and CapsNet, in the Journal: (JOURNAL)
• what: The aim of this work is to construct a grape leaf capsule network model to detect disease by expanding the dataset by E-GAN.
• how: For the investigation of leaf disease identification the PlantVillage database made a note of the problem of the uneven sample distribution. which employed the techniques . . .
  

   

  

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