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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Bibliografiske detaljer

Principais autores:	Mohamed Fadhlallah Guerri, Cosimo Distante, Paolo Spagnolo, Fares Bougourzi, Abdelmalik Taleb-Ahmed
Format:	Artigo
Sprog:	Inglês
Udgivet:	Elsevier 2024-04-01
Serier:	ISPRS Open Journal of Photogrammetry and Remote Sensing
Fag:	Hyperspectral imaging HSI Deep learning Agriculture CNN RNN
Online adgang:	http://www.sciencedirect.com/science/article/pii/S266739322400005X
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