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Tomato classification with YOLOv8: Enhancing automated sorting and quality assessment

This study presents the design and implementation of an automated system for sorting and measuring kidney tomatoes using a YOLOv8 model with a size estimation algorithm. The proposed system integrates computer vision and deep learning with a physical sorting mechanism to categorize tomatoes into thr...

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Principais autores: Viviana Moya, Michael Guerra, Karina Pazmiño, Faruk Abedrabbo, Fernando A. Chicaiza, David Pozo-Espín
Format: Artigo
Sprog:Inglês
Udgivet: Elsevier 2025-12-01
Serier:Smart Agricultural Technology
Fag:
Tomato classification
Agricultural technology
YOLOv8
Computer vision
Automated sorting
Online adgang:http://www.sciencedirect.com/science/article/pii/S2772375525004526
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