Zobrazeno 1 - 10
of 255
pro vyhledávání: '"YOLOv8n"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Identifying the ash accumulation generated on the water-cooled walls of the waste incinerator is essential for the cleanup by the robotic arm. This paper improves a new algorithm based on YOLOv8n, which can identify the ash accumulation posi
Externí odkaz:
https://doaj.org/article/f8b64e3653ad42fca399bca6e6d701b2
Publikováno v:
Gong-kuang zidonghua, Vol 50, Iss 8, Pp 105-111 (2024)
In order to effectively detect and recognize whether the personnel on the mining face in coal mines are wearing safety protection devices, a small object detection method based on improved YOLOv8n is proposed. It is applied in situations such as poor
Externí odkaz:
https://doaj.org/article/0fc8dc4e25a540eeb82bf341e637c256
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Detecting foreign objects in power transmission lines is essential for mitigating safety risks and maintaining line stability. Practical detection, however, presents challenges including varied target sizes, intricate backgrounds, and large
Externí odkaz:
https://doaj.org/article/665da48266564ccb86e8a7cb2d2193fa
Autor:
Qinghua Su, Jianhong Mu
Publikováno v:
Automation, Vol 5, Iss 2, Pp 176-189 (2024)
The field of object detection has widespread applicability in many areas. Despite the multitude of object detection methods that are already established, complex scenes with occlusions still prove challenging due to the loss of information and dynami
Externí odkaz:
https://doaj.org/article/3445e7045c8b4da290b8e5680e1503d5
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Color-changing melon is an ornamental and edible fruit. Aiming at the problems of slow detection speed and high deployment cost for Color-changing melon in intelligent agriculture equipment, this study proposes a lightweight detection model
Externí odkaz:
https://doaj.org/article/3d23556738fd417fb1208811d7185c3e
Publikováno v:
Plant Methods, Vol 20, Iss 1, Pp 1-15 (2024)
Abstract Background Pesticide efficacy directly affects crop yield and quality, making targeted spraying a more environmentally friendly and effective method of pesticide application. Common targeted cabbage spraying methods often involve object dete
Externí odkaz:
https://doaj.org/article/9687b522903741c881b3726d9381d233
Publikováno v:
Gong-kuang zidonghua, Vol 50, Iss 5, Pp 52-59 (2024)
The existing deep learning based coal gangue recognition methods have problems in complex working conditions such as low lighting, high noise, and motion blur in coal mines, such as low precision of coal gangue recognition, easy omission of small tar
Externí odkaz:
https://doaj.org/article/aabeefd4d88b4d72b3510eead54a780f
Autor:
Henghui Mo, Linjing Wei
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 7, Pp 102133- (2024)
In citrus cultivation, Anthracnose, Scab, and Greasy Spot significantly impact yield and quality. Facing challenges in detecting small targets against complex orchard backgrounds with uneven lighting and obstructions, existing models suffer from low
Externí odkaz:
https://doaj.org/article/49665818620b4a148a768e5a5f929a87
Autor:
Xuewei Wang, Jun Liu
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract This study introduces YOLOv8n-vegetable, a model designed to address challenges related to imprecise detection of vegetable diseases in greenhouse plant environment using existing network models. The model incorporates several improvements a
Externí odkaz:
https://doaj.org/article/1e37044fb72f44909cf7ab5ab2a00b3b
Publikováno v:
Ecological Informatics, Vol 83, Iss , Pp 102791- (2024)
Wildlife conservation is crucial for maintaining biodiversity, ensuring ecosystem balance and stability, and fostering sustainable development. Currently, the use of infrared camera traps to monitor and capture photos of wildlife is a vital methodolo
Externí odkaz:
https://doaj.org/article/436c60dfb7ef4d21a60e73f019c55927