Boosting the performance of SOTA convolution-based networks with dimensionality reduction: An application on hyperspectral images of wine grape berries

Boosting the performance of SOTA convolution-based networks with dimensionality reduction: An application on hyperspectral images of wine grape berries

Precision viticulture is an area that is very dependent on methods that allow for a sustainable assessment of grape maturity and, in this work, we apply two state-of-the-art (SOTA) convolution-based networks, namely InceptionTime and OmniScale 1D-CNN, to hyperspectral images of wine grape berries to...

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Bibliographic Details
Main Authors: Rui Silva, Osvaldo Gramaxo Freitas, Pedro Melo-Pinto
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:Intelligent Systems with Applications
Subjects:
Hyperspectral images
Wine grape berries
Oenological parameters
InceptionTime
OmniScale 1D-CNN
Dimensionality reduction
Online Access:http://www.sciencedirect.com/science/article/pii/S2667305323000777

Internet

http://www.sciencedirect.com/science/article/pii/S2667305323000777

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