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YOLOv1 to YOLOv10: A comprehensive review of YOLO variants and their application in the agricultural domain
This survey investigates the transformative potential of various YOLO variants, from YOLOv1
to the state-of-the-art YOLOv10, in the context of agricultural advancements. The primary …
to the state-of-the-art YOLOv10, in the context of agricultural advancements. The primary …
YOLOv10 to its genesis: a decadal and comprehensive review of the you only look once (YOLO) series
This review systematically examines the progression of the You Only Look Once (YOLO)
object detection algorithms from YOLOv1 to the recently unveiled YOLOv10. Employing a …
object detection algorithms from YOLOv1 to the recently unveiled YOLOv10. Employing a …
[HTML][HTML] GC-YOLOv9: Innovative smart city traffic monitoring solution
R An, X Zhang, M Sun, G Wang - Alexandria Engineering Journal, 2024 - Elsevier
In urban smart city environments, traffic hazards can lead to catastrophic outcomes,
including significant property losses and severe threats to public safety. Conventional traffic …
including significant property losses and severe threats to public safety. Conventional traffic …
Yolov10 to its genesis: A decadal and comprehensive review of the you only look once series
This review systematically examines the progression of the You Only Look Once (YOLO)
object detection algorithms from YOLOv1 to the recently unveiled YOLOv10. Employing a …
object detection algorithms from YOLOv1 to the recently unveiled YOLOv10. Employing a …
Yolov8-g: An improved yolov8 model for major disease detection in dragon fruit stems
L Huang, M Chen, Z Peng - Sensors (Basel, Switzerland), 2024 - pmc.ncbi.nlm.nih.gov
Dragon fruit stem disease significantly affects both the quality and yield of dragon fruit.
Therefore, there is an urgent need for an efficient, high-precision intelligent detection …
Therefore, there is an urgent need for an efficient, high-precision intelligent detection …
[PDF][PDF] Comparative Analysis of YOLO Models for Bean Leaf Disease Detection in Natural Environments
DC Rodríguez-Lira, DM Córdova-Esparza… - …, 2024 - researchgate.net
This study presents a comparative analysis of YOLO detection models for the accurate
identification of bean leaf diseases caused by Coleoptera pests in natural environments. By …
identification of bean leaf diseases caused by Coleoptera pests in natural environments. By …