YOLOv8m for Automated Pepper Variety Identification: Improving Accuracy with Data Augmentation

YOLOv8m for Automated Pepper Variety Identification: Improving Accuracy with Data Augmentation

This research addresses the critical need for an efficient and precise identification of <i>Capsicum</i> spp. fruit varieties within the post-harvest contexts to enhance quality control and ensure consumer satisfaction. Employing the YOLOv8m convolutional neural network, the study identi...

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Bibliographic Details
Main Authors: Madalena de Oliveira Barbosa, Fernanda Pereira Leite Aguiar, Suely dos Santos Sousa, Luana dos Santos Cordeiro, Irenilza de Alencar Nääs, Marcelo Tsuguio Okano
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Applied Sciences
Subjects:
pepper classification
YOLOv8m
computer vision in food supply
deep learning
object detection
Online Access:https://www.mdpi.com/2076-3417/15/13/7024
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