Description
The image dataset consists of 105 wheat cultivars covering whole growth by a high-throughput plant phenotyping platform (Lematec). Images taken on the 172th day after seeding. These images are obtained from four types of image sensors (chlorophyll fluorescence, infrared, near-infrared, visible light).
Biological Information
Species: Wheat
Latin name: Triticum aestivum
Imaging tissue: Shoot
Function Information
Computer vision tasks: Image classification
Potential application: Classification of phenotypes
Labeled instances: 3778
Label type: Image-level annotations
Related traits: 15 traits derived from images
i-traits: detail
Imaging
Total number of images: 3778
Image format: PNG
Average resolution: 1128×1171
Dataset size: 8.1G
Sampling geographic location: Beijing, China
Acquisition
equipment: Lematec
Sampling platform: Controlled environment stationary platform
Sensors: CF (chlorophyll flourescence), IR (infrared), NIR (near infrared), RGB (visible light imaging)
