BerryPortraits: Phenotyping Of Ripening Traits in cranberry (Vaccinium macrocarpon Ait.) with YOLOv8

• Published in: Plant methods Vol. 20; no. 1; p. 172
• Main Authors: Loarca, Jenyne, Wiesner-Hanks, Tyr, Lopez-Moreno, Hector, Maule, Andrew F., Liou, Michael, Torres-Meraz, Maria Alejandra, Diaz-Garcia, Luis, Johnson-Cicalese, Jennifer, Neyhart, Jeffrey, Polashock, James, Sideli, Gina M., Strock, Christopher F., Beil, Craig T., Sheehan, Moira J., Iorizzo, Massimo, Atucha, Amaya, Zalapa, Juan
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 13.11.2024; BioMed Central; BMC
• Subjects: Analysis; blueberries; color; color vision; computer software; Computer vision; Cranberries; Digital phenotyping; fruit quality; Genetic aspects; grapes; Growth; horticulture; image analysis; Image processing; Image segmentation; Image-based phenotyping; Machine vision; morphometry; Phenotype; Plant breeding; Plant genetics; plant pathology; Plant physiology; Pomology; Python (Programming language); Software; Vaccinium macrocarpon; Vaccinium vitis-idaea; United States; Digital phenotyping; Computer vision; Image segmentation; Plant breeding; Pomology; Image-based phenotyping; Fruit quality

BerryPortraits (Phenotyping of Ripening Traits) is open source Python-based image-analysis software that rapidly detects and segments berries and extracts morphometric data on fruit quality traits such as berry color, size, shape, and uniformity. Utilizing the YOLOv8 framework and community-develope...