Classification of Cape Gooseberry Fruit According to its Level of Ripeness Using Machine Learning Techniques and Different Color Spaces

Classification of Cape Gooseberry Fruit According to its Level of Ripeness Using Machine Learning Techniques and Different Color Spaces

The classification of fresh fruits according to their visual ripeness is typically a subjective and tedious task; consequently, there is a growing interest in the use of non-contact techniques to automate this process. Machine learning techniques, such as artificial neural networks, support vector m...

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Bibliographic Details
Main Authors: Wilson Castro, Jimy Oblitas, Miguel De-La-Torre, Carlos Cotrina, Karen Bazan, Himer Avila-George
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Cape gooseberry
artificial neural networks
support vector machines
decision trees
K-nearest neighbors
color spaces
Online Access:https://ieeexplore.ieee.org/document/8657936/

Internet

https://ieeexplore.ieee.org/document/8657936/

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