FEGW-YOLO: A Feature-Complexity-Guided Lightweight Framework for Real-Time Multi-Crop Detection with Advanced Sensing Integration on Edge Devices

Yaojiang Liu, Hongjun Tian, Yijie Yin, Yuhan Zhou, Wei Li, Yang Xiong, Yichen Wang, Zinan Nie, Yang Yang, Dongxiao Xie, Shijie Huang

Open source

DOI
10.3390/s26041313
Published
2026-02-18
Container
Sensors
Publisher
MDPI AG
Open access
unknown

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BibTeX

@article{allodium:10.3390/s26041313,
  title = {FEGW-YOLO: A Feature-Complexity-Guided Lightweight Framework for Real-Time Multi-Crop Detection with Advanced Sensing Integration on Edge Devices},
  author = {Yaojiang Liu and Hongjun Tian and Yijie Yin and Yuhan Zhou and Wei Li and Yang Xiong and Yichen Wang and Zinan Nie and Yang Yang and Dongxiao Xie and Shijie Huang},
  year = {2026},
  journal = {Sensors},
  doi = {10.3390/s26041313},
  url = {https://doi.org/10.3390/s26041313}
}

RIS

TY  - JOUR
TI  - FEGW-YOLO: A Feature-Complexity-Guided Lightweight Framework for Real-Time Multi-Crop Detection with Advanced Sensing Integration on Edge Devices
AU  - Yaojiang Liu
AU  - Hongjun Tian
AU  - Yijie Yin
AU  - Yuhan Zhou
AU  - Wei Li
AU  - Yang Xiong
AU  - Yichen Wang
AU  - Zinan Nie
AU  - Yang Yang
AU  - Dongxiao Xie
AU  - Shijie Huang
PY  - 2026
JO  - Sensors
DO  - 10.3390/s26041313
UR  - https://doi.org/10.3390/s26041313
ER  - 

APA

Liu, Y., Tian, H., Yin, Y., Zhou, Y., Li, W., Xiong, Y., Wang, Y., Nie, Z., Yang, Y., Xie, D., & Huang, S. (2026). FEGW-YOLO: A Feature-Complexity-Guided Lightweight Framework for Real-Time Multi-Crop Detection with Advanced Sensing Integration on Edge Devices. Sensors. https://doi.org/10.3390/s26041313

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