Large-scale field phenotyping using backpack LiDAR and CropQuant-3D to measure structural variation in wheat.

ABSTRACT: Plant phenomics bridges the gap between traits of agricultural importance and genomic information. Limitations of current field-based phenotyping solutions include mobility, affordability, throughput, accuracy, scalability, and the ability to analyze big data collected. Here, we present a large-scale phenotyping solution that combines a commercial backpack Light Detection and Ranging (LiDAR) device and our analytic software, CropQuant-3D, which have been applied jointly to phenotype wheat (Triticum aestivum) and associated 3D trait analysis. The use of LiDAR can acquire millions of 3D points to represent spatial features of crops, and CropQuant-3D can extract meaningful traits from large, complex point clouds. In a case study examining the response of wheat varieties to three different lev

SUBMITTER: Zhu Y 

PROVIDER: S-EPMC8491082 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature