Detection of Bacterial Leaf Spot Disease in Sesame (<i>Sesamum indicum</i> L.) Using a U-Net Autoencoder

Detection of Bacterial Leaf Spot Disease in Sesame (<i>Sesamum indicum</i> L.) Using a U-Net Autoencoder

Hyperspectral imaging (HSI) integrates spectroscopy and imaging, providing detailed spectral–spatial information, and the selection of task-relevant wavelengths can streamline data acquisition and processing for field deployment. Anomaly detection aims to identify observations that deviate from norm...

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Bibliographic Details
Main Authors: Minju Lee, Jeseok Lee, Amit Ghimire, Yegyeong Bae, Tae-An Kang, Youngnam Yoon, In-Jung Lee, Choon-Wook Park, Byungwon Kim, Yoonha Kim
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Remote Sensing
Subjects:
autoencoder
bacterial disease
deep learning
early detection
sesame
hyperspectral imaging
Online Access:https://www.mdpi.com/2072-4292/17/13/2230
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