Deep learning techniques for hyperspectral image analysis in agriculture: A review

Deep learning techniques for hyperspectral image analysis in agriculture: A review

In recent years, there has been a growing emphasis on assessing and ensuring the quality of horticultural and agricultural produce. Traditional methods involving field measurements, investigations, and statistical analyses are labour-intensive, time-consuming, and costly. As a solution, Hyperspectra...

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Bibliographic Details
Main Authors: Mohamed Fadhlallah Guerri, Cosimo Distante, Paolo Spagnolo, Fares Bougourzi, Abdelmalik Taleb-Ahmed
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:ISPRS Open Journal of Photogrammetry and Remote Sensing
Subjects:
Hyperspectral imaging
HSI
Deep learning
Agriculture
CNN
RNN
Online Access:http://www.sciencedirect.com/science/article/pii/S266739322400005X

Internet

http://www.sciencedirect.com/science/article/pii/S266739322400005X

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