Proximal sensing to detect symptoms associated with wheat curl mite-vectored viruses-Reference-Cited by-同舟云学术

Proximal sensing to detect symptoms associated with wheat curl mite-vectored viruses

Published:2013-04-08 Issue:14 Volume:34 Page:4951-4966
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Stilwell A. R.¹,Hein G. L.²,Zygielbaum A. I.³,Rundquist D. C.³

Affiliation:

1. a Entomology, 3A Composites , Guayaquil , Guayas , Ecuador

2. b Plant Health Program, University of Nebraska-Lincoln , Lincoln , NE , USA

3. c Center for Advanced Land Management Information Technologies (CALMIT), School of Natural Resources , University of Nebraska-Lincoln , Lincoln , NE , USA

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2013.783945

Reference58 articles.

1. Detecting sugarcane ‘orange rust’ disease using EO-1 Hyperion hyperspectral imagery

2. Quantification of plant stress using remote sensing observations and crop models: the case of nitrogen management

3. Effect of Wheat Streak Mosaic Virus Infection on Total DNA and Chloroplast Ribosomal RNA in Wheat Leaves

4. Occurrence of Viruses in Wheat in the Great Plains Region, 2008

5. Early detection of plant stress by digital imaging within narrow stress-sensitive wavebands

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