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...
| Published in: | ISPRS Open Journal of Photogrammetry and Remote Sensing |
|---|---|
| Main Authors: | Mohamed Fadhlallah Guerri, Cosimo Distante, Paolo Spagnolo, Fares Bougourzi, Abdelmalik Taleb-Ahmed |
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-04-01
|
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S266739322400005X |
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