GRABSEEDS

GRABSEEDS extracts plant organ traits from digital images using computer vision and deep learning methods to measure length, color, and other characteristics for phenotyping and association studies.

Key Features:

• Trait Extraction: Measures dimension, shape, and color traits of plant organs including grain, leaf, and floral traits from digital images.
• Robust Image Processing: Manages varying light conditions, background disturbances, and overlapping objects.
• Label Recognition: Identifies labels in images for automated sample tracking in batch processing.
• Color Correction: Adjusts color measurements to account for lighting variations in a batch setting.
• Batch Processing: Processes multiple images efficiently in a single run.

Scientific Applications:

• Quantitative Trait Loci Mapping: Supports QTL mapping by providing rapid, robust, and reproducible phenotypic measurements.
• Genome-Wide Association Studies: Facilitates GWAS through accurate phenotyping of plant organ traits.
• Agronomic Trait Association: Enables association studies linking seed, floral, and leaf traits with agronomic performance.
• Stress Condition Studies: Supports analysis of plant organ traits under various stress conditions.

Methodology:

GRABSEEDS employs state-of-the-art computer vision and deep learning methods for image analysis.