A dual track deep fusion network for citrus disease classification using group shuffle depthwise feature pyramid and Swin transformer

This publication has 10 references indexed in Scilit:

• An intelligent approach using boosted support vector machine based arithmetic optimization algorithm for accurate detection of plant leaf disease
  Pattern Analysis and Applications, 2022
• Transformer Help CNN See Better: A Lightweight Hybrid Apple Disease Identification Model Based on Transformers
  Agriculture, 2022
• Bioactive Compounds of Citrus Fruits: A Review of Composition and Health Benefits of Carotenoids, Flavonoids, Limonoids, and Terpenes
  Antioxidants, 2022
• Classification of Citrus Plant Diseases Using Deep Transfer Learning
  Computers, Materials & Continua, 2022
• AI based automatic detection of citrus fruit and leaves diseases using deep neural network model
  Journal of Discrete Mathematical Sciences and Cryptography, 2021
• Photodynamic control of citrus crop diseases
  World Journal of Microbiology and Biotechnology, 2021
• Citrus Plant Disease Identification using Deep Learning with Multiple Transfer Learning Approaches
  Pakistan Journal of Engineering and Technology, 2020
• An Automated Crop and Plant Disease Identification Scheme Using Cognitive Fuzzy C-Means Algorithm
  IETE Journal of Research, 2020
• Citrus Origin, Diffusion, and Economic Importance
  2020
• Focal Loss for Dense Object Detection
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018