Wheat ear detection algorithm based on improved yolov4

HIGHLIGHTS

• who: Fengkui Zhao et al. from the College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing, China have published the paper: Wheat Ear Detection Algorithm Based on Improved YOLOv4, in the Journal: (JOURNAL)
• what: In this study a computer vision methodology to detect ears is proposed. The aim of this work is to improve wheat ear detection performance in images taken under natural field conditions. The main reason is that the wheat ear size is very small, the wheat ear density is relatively large in some areas of the images, and there are mutual . . .
  

   

  

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