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

INTRODUCTION: Accurate 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 re...

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Detalles Bibliográficos
Autores principales: Shi, Yue, Han, Liangxiu, González-Moreno, Pablo, Dancey, Darren, Huang, Wenjiang, Zhang, Zhiqiang, Liu, Yuanyuan, Huang, Mengning, Miao, Hong, Dai, Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10582577/
https://www.ncbi.nlm.nih.gov/pubmed/37860254
http://dx.doi.org/10.3389/fpls.2023.1250844

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10582577/
https://www.ncbi.nlm.nih.gov/pubmed/37860254
http://dx.doi.org/10.3389/fpls.2023.1250844

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