YOLOv11-DAFNet: A multi-directional attention and multi-dilated residual fusion network for cucumber downy mildew sporangia detection in microscopic images

This publication has 22 references indexed in Scilit:

• A systematic review of deep learning techniques for plant diseases
  Artificial Intelligence Review, 2024
• Assessing fusarium oxysporum disease severity in cotton using unmanned aerial system images and a hybrid domain adaptation deep learning time series model
  Biosystems Engineering, 2024
• An improved YOLO algorithm for detecting flowers and fruits on strawberry seedlings
  Biosystems Engineering, 2023
• Large Separable Kernel Attention: Rethinking the Large Kernel Attention design in CNN
  Expert Systems with Applications, 2023
• Detection of wheat scab fungus spores utilizing the Yolov5-ECA-ASFF network structure
  Computers and Electronics in Agriculture, 2023
• A model-based methodology for the early warning detection of cucumber downy mildew in greenhouses: An experimental evaluation
  Computers and Electronics in Agriculture, 2022
• Identification method of vegetable diseases based on transfer learning and attention mechanism
  Computers and Electronics in Agriculture, 2022
• Computer vision based detection of external defects on tomatoes using deep learning
  Biosystems Engineering, 2020
• Lameness detection of dairy cows based on the YOLOv3 deep learning algorithm and a relative step size characteristic vector
  Biosystems Engineering, 2020
• A data-driven model simulating primary infection probabilities of cucumber downy mildew for use in early warning systems in solar greenhouses
  Computers and Electronics in Agriculture, 2011