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MG-YOLO: A Lightweight Deep Learning Model for Detecting Blueberry Fruits at Different Maturities

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Published in:IEEE Access
Format: Online Article RSS Article
Published: 2026
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spellingShingle MG-YOLO: A Lightweight Deep Learning Model for Detecting Blueberry Fruits at Different Maturities
Computer Sciience
General
Computer Sciience
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Sciience
General
Computer Sciience
subject_facet Computer Sciience
General
Computer Sciience
title MG-YOLO: A Lightweight Deep Learning Model for Detecting Blueberry Fruits at Different Maturities
title_alt MG-YOLO: Un modelo de aprendizaje profundo ligero para detectar frutos de arándano en diferentes madureces
MG-YOLO : un modèle d'apprentissage profond léger pour détecter les fruits de myrtille à différentes maturités
MG-YOLO: Um Modelo de Aprendizagem Profunda Leve para Detecção de Frutos de Mirtilo em Diferentes Maturidades
title_auth MG-YOLO: A Lightweight Deep Learning Model for Detecting Blueberry Fruits at Different Maturities
title_es_txt MG-YOLO: Un modelo de aprendizaje profundo ligero para detectar frutos de arándano en diferentes madureces
title_fr_txt MG-YOLO : un modèle d'apprentissage profond léger pour détecter les fruits de myrtille à différentes maturités
title_full MG-YOLO: A Lightweight Deep Learning Model for Detecting Blueberry Fruits at Different Maturities
title_fullStr MG-YOLO: A Lightweight Deep Learning Model for Detecting Blueberry Fruits at Different Maturities
title_full_unstemmed MG-YOLO: A Lightweight Deep Learning Model for Detecting Blueberry Fruits at Different Maturities
title_pt_txt MG-YOLO: Um Modelo de Aprendizagem Profunda Leve para Detecção de Frutos de Mirtilo em Diferentes Maturidades
title_short MG-YOLO: A Lightweight Deep Learning Model for Detecting Blueberry Fruits at Different Maturities
title_sort mg-yolo: a lightweight deep learning model for detecting blueberry fruits at different maturities
topic Computer Sciience
General
Computer Sciience
url http://ieeexplore.ieee.org/document/11554036