A fast Fourier convolutional deep neural network for accurate and explainable discrimination of wheat yellow rust and nitrogen deficiency from Sentinel-2 time series data

A fast Fourier convolutional deep neural network for accurate and explainable discrimination of wheat yellow rust and nitrogen deficiency from Sentinel-2 time series data

IntroductionAccurate and timely detection of plant stress is essential for yield protection, allowing better-targeted intervention strategies. Recent advances in remote sensing and deep learning have shown great potential for rapid non-invasive detection of plant stress in a fully automated and repr...

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Bibliographic Details
Main Authors: Yue Shi, Liangxiu Han, Pablo González-Moreno, Darren Dancey, Wenjiang Huang, Zhiqiang Zhang, Yuanyuan Liu, Mengning Huang, Hong Miao, Min Dai
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-10-01
Series:Frontiers in Plant Science
Subjects:
deep learning
time-series analysis
precision agriculture
Sentinel-2
plant protection
winter wheat
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2023.1250844/full

Internet

https://www.frontiersin.org/articles/10.3389/fpls.2023.1250844/full

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