Classification of yellow rust of wheat from Sentinel-2 satellite imagery using deep learning artificial neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences,General Environmental Science
Link
https://link.springer.com/content/pdf/10.1007/s12517-023-11750-1.pdf
Reference33 articles.
1. Ashourloo D, Mobasheri MR, Huete A (2014) Developing two spectral disease indices for detection of wheat leaf rust (Pucciniatriticina). Remote Sens 6:4723–4740
2. Chen XM (2005) Epidemiology and control of stripe rust [Puccinia striiformis f. sp. tritici] on wheat. Can J Plant Pathol 27:314–337
3. Dammer K, Garz A, Hobart M, Schirrmann M (2022) Combined UAV-and tractor-based stripe rust monitoring in winter wheat under field conditions. Agron J 114:651–661
4. Daughtry CST, Walthall CL, Kim MS et al (2000) Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance. Remote Sens Environ 74:229–239
5. Deng J, Zhou H, Lv X et al (2022) Applying convolutional neural networks for detecting wheat stripe rust transmission centers under complex field conditions using RGB-based high spatial resolution images from UAVs. Comput Electron Agric 200:107211
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