Analyzing Nitrogen Effects on Rice Panicle Development by Panicle Detection and Time-Series Tracking.

ABSTRACT: Detailed observation of the phenotypic changes in rice panicle substantially helps us to understand the yield formation. In recent studies, phenotyping of rice panicles during the heading-flowering stage still lacks comprehensive analysis, especially of panicle development under different nitrogen treatments. In this work, we proposed a pipeline to automatically acquire the detailed panicle traits based on time-series images by using the YOLO v5, ResNet50, and DeepSORT models. Combined with field observation data, the proposed method was used to test whether it has an ability to identify subtle differences in panicle developments under different nitrogen treatments. The result shows that panicle counting throughout the heading-flowering stage achieved high accuracy (R² =

SUBMITTER: Zhou Q 

PROVIDER: S-EPMC10289797 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature