Deep learning-based methods for phenotypic trait extraction in rice panicles
This study provides a comprehensive, automated tool for rice panicle phenotyping, addressing occlusion challenges and bridging the gap between advanced models and breeding applications.
Authors
- Maomao Li (ORCID: https://orcid.org/0000-0002-8409-6518)
- Binhua Hu
- Xiaoding Ma
- Ruihang Li
- Jian Wang
- Shen Yan
- Jianhua Zhang
- Ming Tang
- Guomin Zhou
- Wei Li
- Zhiao Wang
Institutions
- Agricultural Information Institute (CN)
- Heilongjiang Provincial Academy of Agricultural Sciences (CN)
- Chinese Academy of Agricultural Sciences (CN)
- Sanya University (CN)
- Institute of Crop Sciences (CN)
- Sichuan Academy of Agricultural Sciences (CN)
- Jiangxi Academy of Agricultural Sciences (CN)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2026-02-12
- DOI
- https://doi.org/10.3389/fpls.2025.1730366
- Primary Topic
- Genetic Mapping and Diversity in Plants and Animals
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Chinese Academy of Agricultural Sciences
- National Key Research and Development Program of China