Claim · model-written summary
A user-friendly platform was designed for breeders to access the data and analytics.
- Outcome
- interact with the needed data and analyticse0
SorghumNot reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionValueQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“designing a user-friendly system platform to enable breeders and other end users to interact with the needed data and analytics”
t0“Sorghum Phenotyping”
Title
Geospatial Image Data for Sorghum Phenotyping
Tuinstra, Mitchell; Crawford, Melba; Delp, Edward; et al. 2021. doi:10.4231/my7w-fh43
Other claims from this paper (7)
- Method / resource Remote sensing technologies were optimized to acquire sorghum phenotype data.
- Method / resource Segmentation and feature extraction algorithms were implemented for sorghum phenotyping.
- Method / resource Predictive models for plant growth and performance were developed.
- Method / resource Genetic analysis pipelines were designed to identify genes controlling sorghum performance.
- Method / resource RGB image data were released at 1 cm resolution for three dates.
- Method / resource Hyperspectral data were released at 4 cm resolution for three dates.
- Method / resource Lidar digital surface model data were released for three dates.