High-throughput and separating-free phenotyping method for on-panicle rice grains based on deep learning.

ABSTRACT: Rice is a vital food crop that feeds most of the global population. Cultivating high-yielding and superior-quality rice varieties has always been a critical research direction. Rice grain-related traits can be used as crucial phenotypic evidence to assess yield potential and quality. However, the analysis of rice grain traits is still mainly based on manual counting or various seed evaluation devices, which incur high costs in time and money. This study proposed a high-precision phenotyping method for rice panicles based on visible light scanning imaging and deep learning technology, which can achieve high-throughput extraction of critical traits of rice panicles without separating and threshing rice panicles. The imaging of rice panicles was realized through visible light scanning. The gr

SUBMITTER: Lu Y 

PROVIDER: S-EPMC10544938 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature