Rice Leaf Disease Classification-A Comparative Approach Using Convolutional Neural Network (CNN), Cascading Autoencoder with Attention Residual U-Net (CAAR-U-Net), and MobileNet-V2 Architectures

Dutta M., Sujan M., Mojumdar M., Chakraborty N., Al Marouf A., Rokne J., ...Daha Fazla

TECHNOLOGIES, cilt.12, sa.11, 2024 (ESCI)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 12 Sayı: 11
  • Basım Tarihi: 2024
  • Doi Numarası: 10.3390/technologies12110214
  • Dergi Adı: TECHNOLOGIES
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI)
  • Anahtar Kelimeler: neural network architectures, rice leaf disease, cascading autoencoder with attention residual U-net (CAAR-U-Net), mobilenetv2, convolutional neural network (CNN)
  • İstanbul Medipol Üniversitesi Adresli: Evet