HIGHLIGHTS
- who: Min Dai and collaborators from the College of Mechanical Engineering, Yangzhou University, Yangzhou, China have published the research: A New Pest Detection Method Based on Improved YOLOv5m, in the Journal: Insects 2023, 14, 54. of /2023/
- what: In this study in plants with higher accuracy is proposed by an First the SWin Transformer (SWinTR) and Transformer (C3TR) mechanisms are introduced into the YOLOv5m network so that they can capture more global features and can increase the receptive field. In response to the above problem, the authors investigate pests` detection from the dataset using improved . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.