SoyCountNet: a deep learning framework for counting and locating soybean seeds in field environment
- DOI
- 10.3389/fpls.2026.1743104
- Published
- 2026-02-25
- Container
- Frontiers in Plant Science
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fpls.2026.1743104,
title = {SoyCountNet: a deep learning framework for counting and locating soybean seeds in field environment},
author = {Fei Liu and Qiong Wu and Haoyu Wang and Zhongzhi Han and Shudong Wang and Longgang Zhao and Zhaohua Wang and Hexiang Luan},
year = {2026},
journal = {Frontiers in Plant Science},
doi = {10.3389/fpls.2026.1743104},
url = {https://doi.org/10.3389/fpls.2026.1743104}
}RIS
TY - JOUR TI - SoyCountNet: a deep learning framework for counting and locating soybean seeds in field environment AU - Fei Liu AU - Qiong Wu AU - Haoyu Wang AU - Zhongzhi Han AU - Shudong Wang AU - Longgang Zhao AU - Zhaohua Wang AU - Hexiang Luan PY - 2026 JO - Frontiers in Plant Science DO - 10.3389/fpls.2026.1743104 UR - https://doi.org/10.3389/fpls.2026.1743104 ER -
APA
Liu, F., Wu, Q., Wang, H., Han, Z., Wang, S., Zhao, L., Wang, Z., & Luan, H. (2026). SoyCountNet: a deep learning framework for counting and locating soybean seeds in field environment. Frontiers in Plant Science. https://doi.org/10.3389/fpls.2026.1743104
Source records
- crossref · retrieved 2026-09-27T09:54:15.520Z