COMPUTATIONAL VISION FOR TOMATO CLASSIFICATION USING A DECISION TREE ALGORITHM

COMPUTATIONAL VISION FOR TOMATO CLASSIFICATION USING A DECISION TREE ALGORITHM

ABSTRACT Computer vision systems combined with machine learning techniques have demonstrated success as alternatives to empirical methods for classification and selection. This study aimed to classify tomatoes based on their colorimetric characteristics, which influence consumer purchasing potential...

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Bibliographic Details
Main Authors: Caroline S. da Fonseca, Bilton G. Nhantumbo, Yuri M. Ferreira, Layana A. da Silva, Anderson G. Costa
Format: Article
Language:English
Published: Sociedade Brasileira de Engenharia Agrícola 2025-02-01
Series:Engenharia Agrícola
Subjects:
fruit ripeness
color models
machine learning
fruit acceptability
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162025000100303&lng=en&tlng=en
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