Design of Machine Learning Solutions to Post-Harvest Classification of Vegetal Species

Design of Machine Learning Solutions to Post-Harvest Classification of Vegetal Species

This paper presents a machine learning approach to automatically classifying post-harvest vegetal species. Color images of vegetal species were applied to convolutional neural networks (CNNs) and support vector machine (SVM) classifiers. We focused on okra as the target vegetal species and classifie...

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Bibliographic Details
Main Authors: Papa Moussa Diop, Naoki Oshiro, Morikazu Nakamura, Jin Takamoto, Yuji Nakamura
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:AgriEngineering
Subjects:
vegetal classification
machine learning
support vector machine (SVM)
convolutional neural network (CNN)
color space
Online Access:https://www.mdpi.com/2624-7402/5/2/63

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