LenRuler: a rice-centric method for automated radicle length measurement with multicrop validation.

ABSTRACT: Radicle length is a critical indicator of seed vigor, germination capacity, and seedling growth potential. However, existing measurement methods face challenges in automation, efficiency, and generalizability, often requiring manual intervention or re-annotation for different seed types. To address these limitations, this paper proposes an automated method, LenRuler, with a primary focus on rice seeds and validation in multiple crops. The method leverages the Segment Anything Model (SAM) as the foundational segmentation model and employs a coarse-to-fine segmentation strategy combined with Gaussian-based classification to automatically generate bounding boxes and centroids, which are then fed into SAM for precise segmentation of the seed coat and radicle. The radicle length is subsequently

SUBMITTER: Zhao J 

PROVIDER: S-EPMC12710053 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature