Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Baojian Ma"'
Publikováno v:
IEEE Access, Vol 12, Pp 126244-126257 (2024)
The accurate and rapid identification of safflower filaments is a prerequisite for automating harvesting. This paper proposes a lightweight, high-precision detection model for safflower filaments based on YOLOv5s, named YOLOv5s-MCD, to address the is
Externí odkaz:
https://doaj.org/article/6bdcb9ba7fa04574978deb3c7e992afe
Publikováno v:
Sensors, Vol 24, Iss 13, p 4410 (2024)
The identification of safflower filament targets and the precise localization of picking points are fundamental prerequisites for achieving automated filament retrieval. In light of challenges such as severe occlusion of targets, low recognition accu
Externí odkaz:
https://doaj.org/article/24c828d5fcce4d639bb69aa3f76cdfc5
Publikováno v:
Computers and Electronics in Agriculture. 190:106484
Pruning is a time-consuming and labor-intensive practice for managing of dormant jujube orchards, in which dormant pruning is still mainly dependent on manual operation. Automated pruning using a robotic platform could be a better solution to overcom