Se-yolov5x: an optimized model based on transfer learning and visual attention mechanism for identifying and localizing weeds and vegetables

HIGHLIGHTS

• who: Jian-Lin Zhang and collaborators from the College of Engineering, China Agricultural University, Haidian, Beijing, China have published the article: SE-YOLOv5x: An Optimized Model Based on Transfer Learning and Visual Attention Mechanism for Identifying and Localizing Weeds and Vegetables, in the Journal: Agronomy 2022, 2061 of /2022/
• what: In this study a squeeze-and-excitation (SE) network combined with You Only Look Once v5 (SE-YOLOv5x) is proposed for weed-crop classification and lettuce localization in the field. This study shows the capability of SE-YOLOv5x for the classification of lettuce and and . . .
  

   

  

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