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Explainable YOLO architectures for egg size measurement and classification

Abstract The poultry industry faces growing demands for automated, high-precision egg grading systems to ensure quality control and meet market standards. Traditional methods relying on manual inspection are time-consuming, subjective, and prone to human error. Although state-of-the-art YOLO archite...

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Main Authors: Elsayed M. Atwa, Ibrahim Gad, Qiong Liu, Yunxiao Jiang, M. M. Abd El-Raouf, Shupeng He, Hongjian Lin, Jinming Pan
Format: Artigo
Language:Inglês
Published: Nature Portfolio 2026-04-01
Series:Scientific Reports
Subjects:
YOLO
Egg size
Poultry industry
Egg quality
XAI
Online Access:https://doi.org/10.1038/s41598-026-49155-1
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