CMTNet: a hybrid CNN-transformer network for UAV-based hyperspectral crop classification in precision agriculture

Abstract Hyperspectral imaging acquired from unmanned aerial vehicles (UAVs) offers detailed spectral and spatial data that holds transformative potential for precision agriculture applications, such as crop classification, health monitoring, and yield estimation. However, traditional methods strugg...

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Bibliographic Details
Main Authors: Xihong Guo, Quan Feng, Faxu Guo
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-025-97052-w
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