YOLO-Ginseng: a detection method for ginseng fruit in natural agricultural environment

Compared to other models, YOLO-Ginseng demonstrates superior overall detection performance. During the model deployment experiments, YOLO-Ginseng successfully performs real-time detection of ginseng fruits on the Jetson Orin Nano computing device, exhibiting good detection results. The average detection speed reaches 24.9 fps. The above results verify the effectiveness and practicability of YOLO-Ginseng, which creates primary conditions for the development of intelligent ginseng fruit picking equipment.

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Publication Details

Journal
Frontiers in Plant Science
Published
2024-11-20
DOI
https://doi.org/10.3389/fpls.2024.1422460
Citations
7
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
4.20

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article

YOLO-Ginseng: a detection method for ginseng fruit in natural agricultural environment

Hongyu Guo, Zhuang Yang, Chao Li, Zhedong Xie et al.
7 citations
Frontiers in Plant Science
Smart Agriculture and AI
4.20
article

YOLO-Ginseng: a detection method for ginseng fruit in natural agricultural environment

Hongyu Guo, Zhuang Yang, Chao Li, Zhedong Xie, Jiazhuo Jiang, Zhen Zhang
article en
7 citations

Abstract

Compared to other models, YOLO-Ginseng demonstrates superior overall detection performance. During the model deployment experiments, YOLO-Ginseng successfully performs real-time detection of ginseng fruits on the Jetson Orin Nano computing device, exhibiting good detection results. The average detection speed reaches 24.9 fps. The above results verify the effectiveness and practicability of YOLO-Ginseng, which creates primary conditions for the development of intelligent ginseng fruit picking equipment.

Frontiers in Plant ScienceVol. 15
Jilin Agricultural University (CN)
People's Government of Jilin Province
Zero hunger
Openalex Percentile: Top 6%
Smart Agriculture and AI
4.20
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