SeedGerm-VIG: an open and comprehensive pipeline to quantify seed vigor in wheat and other cereal crops using deep learning-powered dynamic phenotypic analysis.

ABSTRACT:

Background

As one of the most important cereal crops, wheat (Triticum aestivum L.) production and grain quality are essential to many nations in the world. Early developmental phases such as seed germination and seedling establishment are key to wheat's growth and development as they impact directly on a crop's early performance and yield potential. Hence, it is critical to develop varieties with favorable early growth characteristics under various growing conditions.

Results

Here, we present SeedGerm-VIG, an automated and comprehensive pipeline developed for assessing seed vigor in wheat and other cereal crops. Building on the SeedGerm system, we integrated multiple deep learning models (i.e., YOLOv8x-Germ and optimized U-Net) and computer vision algorithms into the automat

SUBMITTER: Dai J 

PROVIDER: S-EPMC12648739 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature