Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Improved YOLOv8"'
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
When harvesting bunch tomatoes, accurately identifying certain fruiting stems proves challenging due to their obstruction by branches and leaves, or their similarity in colour to the branches, main vines, and lateral vines. Additionally, irregulariti
Externí odkaz:
https://doaj.org/article/49a468c77aa34b759aeac3b9fa7cbc62
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Maritime objects frequently exhibit low-quality and insufficient feature information, particularly in complex maritime environments characterized by challenges such as small objects, waves, and reflections. This situation poses significant c
Externí odkaz:
https://doaj.org/article/311de99bd6d84e6cb690dfd85e98a105
Publikováno v:
PeerJ Computer Science, Vol 10, p e2271 (2024)
To address the challenge of suboptimal object detection outcomes stemming from the deformability of marine flexible biological entities, this study introduces an algorithm tailored for detecting marine flexible biological targets. Initially, we compi
Externí odkaz:
https://doaj.org/article/d44f0ea3859a4b929e9cdd79b4b3b8ac
Publikováno v:
Applied Sciences, Vol 14, Iss 22, p 10732 (2024)
Tuna accounts for 20% of the output value of global marine capture fisheries, and it plays a crucial role in maintaining ecosystem stability, ensuring global food security, and supporting economic stability. However, improper management has led to si
Externí odkaz:
https://doaj.org/article/e745d55b76664489b76a56d30ef078b1
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
IntroductionYunnan Xiaomila is a pepper variety whose flowers and fruits become mature at the same time and multiple times a year. The distinction between the fruits and the background is low and the background is complex. The targets are small and d
Externí odkaz:
https://doaj.org/article/89759d5679074042b025baefdf7d76a7
Autor:
Tianwen Li, Gongquan Li
Publikováno v:
Sensors, Vol 24, Iss 21, p 6783 (2024)
The conventional method for detecting road defects relies heavily on manual inspections, which are often inefficient and struggle with precise defect localization. This paper introduces a novel approach for identifying and locating road defects based
Externí odkaz:
https://doaj.org/article/8bc91ba20c1a443ba1518cfcd8766ab6
Publikováno v:
Sensors, Vol 24, Iss 20, p 6753 (2024)
The accurate detection and quantification of defects is vital for the effectiveness of the eddy current nondestructive testing (ECNDT) of carbon fiber-reinforced plastic (CFRP) materials. This study investigates the identification and measurement of
Externí odkaz:
https://doaj.org/article/b05e1872a1334c0f8d327d8e8a0b39e9
Autor:
Zejun Wang, Shihao Zhang, Lijiao Chen, Wendou Wu, Houqiao Wang, Xiaohui Liu, Zongpei Fan, Baijuan Wang
Publikováno v:
Agriculture, Vol 14, Iss 10, p 1739 (2024)
Pest infestations in tea gardens are one of the common issues encountered during tea cultivation. This study introduces an improved YOLOv8 network model for the detection of tea pests to facilitate the rapid and accurate identification of early-stage
Externí odkaz:
https://doaj.org/article/a82b2d8e255144a4ad81d0777694602f
Publikováno v:
Sensors, Vol 24, Iss 18, p 6116 (2024)
In modern urban traffic, vehicles and pedestrians are fundamental elements in the study of traffic dynamics. Vehicle and pedestrian detection have significant practical value in fields like autonomous driving, traffic management, and public security.
Externí odkaz:
https://doaj.org/article/018bfd9d6a134bffbf0bf8380efd417c
Autor:
Xiangyu Zhang, Yang Yang
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4424 (2024)
In order to promote the accurate recognition and application of visual navigation robots to the environment, this paper carried out research on the road pattern recognition of a vision-guided robot based on improved YOLOv8 on the basis of road patter
Externí odkaz:
https://doaj.org/article/c57aa8bf01f9495fbb95187be9c5f6e4