New-generation rice seed germination assessment: high efficiency and flexibility via SeedRuler web-based platform
SeedRuler overcomes key limitations of existing methods by combining classical image processing with advanced deep learning models, offering accurate, scalable, and user-friendly germination analysis. Its flexible standard-setting and automated measurement features further enhance usability for both researchers and agricultural practitioners. SeedRuler represents a significant advancement in rice seed phenotyping, supporting more informed decision-making in seed selection, breeding, and crop management.
Authors
- Sheng Dai (ORCID: https://orcid.org/0000-0002-9152-0786)
- Jinfeng Zhao (ORCID: https://orcid.org/0000-0002-4076-9215)
- Yan Ma (ORCID: https://orcid.org/0000-0001-8065-591X)
- Jiawen Yang (ORCID: https://orcid.org/0009-0007-6482-6724)
- Zeyu Hou
- Ming Gong (ORCID: https://orcid.org/0009-0009-5665-6600)
Institutions
- Shanghai Normal University (CN)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2025-10-13
- DOI
- https://doi.org/10.3389/fpls.2025.1671998
- Primary Topic
- Rice Cultivation and Yield Improvement
- Type
- article
- Field-Weighted Citation Impact
- 0.00