Srnet-yolo: a model for detecting tiny and very tiny pests in cotton fields based on super-resolution reconstruction

HIGHLIGHTS

• What: The authors proposed a framework for detecting "tiny pests" and "very tiny pests" in wild cotton fields, named SRNet-YOLO. Through comprehensive experimental verification, the authors demonstrate that the proposed framework achieves exceptional performance. The main reason is that the pests are too small, the lower resolution leads to fewer features, and the process of extracting features is more difficult. The primary focus of the research was on two classes of "tiny pests" and "very tiny pests": cotton thrips and Myzus-persicae, as shown in Figure 2A.
• Who: Thomas Thomidis et al. from the . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.