TY - GEN
T1 - Desarrollo de un Algoritmo con Visión Artificial utilizando Redes Neuronales Convolucionales para el Control de la Calidad del Arándano
AU - León León, Ryan Abraham
AU - Rentería Davila, Martín Antonio
N1 - Publisher Copyright:
© 2024 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
PY - 2024
Y1 - 2024
N2 - The paper presents the development of a computer vision algorithm using convolutional neural networks for blueberry quality control. The YOLOv8 network was used for the detection and classification of blueberries according to their quality. A total of 840 blueberry images were collected and labeled using the Roboflow platform. After training and evaluating the model, an accuracy between 91% and 98%, and F1-Scores between 90% and 97% were obtained in classifying blueberries as good or bad in seven different production areas. The results demonstrate the effectiveness of the YOLOv8-based machine vision system for accurate detection of blueberry quality, optimizing the sorting process and reducing human intervention.
AB - The paper presents the development of a computer vision algorithm using convolutional neural networks for blueberry quality control. The YOLOv8 network was used for the detection and classification of blueberries according to their quality. A total of 840 blueberry images were collected and labeled using the Roboflow platform. After training and evaluating the model, an accuracy between 91% and 98%, and F1-Scores between 90% and 97% were obtained in classifying blueberries as good or bad in seven different production areas. The results demonstrate the effectiveness of the YOLOv8-based machine vision system for accurate detection of blueberry quality, optimizing the sorting process and reducing human intervention.
KW - agricultural product classification
KW - Artificial vision
KW - blueberries
KW - convolutional neural networks
KW - quality control
KW - YOLOv8
UR - https://www.scopus.com/pages/publications/85217265618
U2 - 10.18687/LEIRD2024.1.1.854
DO - 10.18687/LEIRD2024.1.1.854
M3 - Contribución a la conferencia
AN - SCOPUS:85217265618
T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
BT - Proceedings of the 4th LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development
A2 - Larrondo Petrie, Maria M.
A2 - Texier, Jose
A2 - Matta, Rodolfo Andres Rivas
T2 - 4th LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development, LEIRD 2024
Y2 - 2 December 2024 through 4 December 2024
ER -