Flower End-to-End Detection Based on YOLOv4 Using a Mobile Device
Joint Authors
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-17
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
In this paper, a novel flower detection application anchor-based method is proposed, which is combined with an attention mechanism to detect the flowers in a smart garden in AIoT more accurately and fast.
While many researchers have paid much attention to the flower classification in existing studies, the issue of flower detection has been largely overlooked.
The problem we have outlined deals largely with the study of a new design and application of flower detection.
Firstly, a new end-to-end flower detection anchor-based method is inserted into the architecture of the network to make it more precious and fast and the loss function and attention mechanism are introduced into our model to suppress unimportant features.
Secondly, our flower detection algorithms can be integrated into the mobile device.
It is revealed that our flower detection method is very considerable through a series of investigations carried out.
The detection accuracy of our method is similar to that of the state-of-the-art, and the detection speed is faster at the same time.
It makes a major contribution to flower detection in computer vision.
American Psychological Association (APA)
Cheng, Zhibin& Zhang, Fuquan. 2020. Flower End-to-End Detection Based on YOLOv4 Using a Mobile Device. Wireless Communications and Mobile Computing،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1214816
Modern Language Association (MLA)
Cheng, Zhibin& Zhang, Fuquan. Flower End-to-End Detection Based on YOLOv4 Using a Mobile Device. Wireless Communications and Mobile Computing No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1214816
American Medical Association (AMA)
Cheng, Zhibin& Zhang, Fuquan. Flower End-to-End Detection Based on YOLOv4 Using a Mobile Device. Wireless Communications and Mobile Computing. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1214816
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214816