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Supervised and self-supervised deep learning approaches for weed identification and soybean yield prediction

Srivastava, DhirajVirginia Tech2023

… a balance between speed and accuracy, YOLOv6s emerged as the most suitable object detection model for real-time deployment, achieving an 82.6% mean average precision (mAP) at an average inference speed of 8.28 milliseconds. Furthermore, a self-supervised contrastive learning approach …

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YOLO Models for Fresh Fruit Classification from Digital Videos

Xue, Yinzhe2023

auckland-tech