Selecting hyperspectral bands and extracting features with a custom shallow convolutional neural network to classify citrus peel defects

Selecting hyperspectral bands and extracting features with a custom shallow convolutional neural network to classify citrus peel defects

Citrus Black Spot (CBS) causes considerable damage to the Florida citrus industry. Early detection of CBS, especially in the presence of other peel blemishes, would enable better mapping and control of CBS spread, reduce wasted fruit, and permit early removal of culls from the packing stream. Orange...

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Bibliographic Details
Main Authors: Quentin Frederick, Thomas Burks, Adam Watson, Pappu Kumar Yadav, Jianwei Qin, Moon Kim, Mark A. Ritenour
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Smart Agricultural Technology
Subjects:
Citrus inspection
Citrus black spot
Convolutional neural network
Feature extraction
Fruit inspection
Image classification
Online Access:http://www.sciencedirect.com/science/article/pii/S2772375523001934

Internet

http://www.sciencedirect.com/science/article/pii/S2772375523001934

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