(Q57192864)

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Evaluating the Effect of Different Wheat Rust Disease Symptoms on Vegetation Indices Using Hyperspectral Measurements

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Evaluating the Effect of Different Wheat Rust Disease Symptoms on Vegetation Indices Using Hyperspectral Measurements (English)

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Alfredo Huete

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author name string

Davoud Ashourloo

series ordinal

1

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Mohammad Mobasheri

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2

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publication date

5 June 2014

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published in

Remote Sensing

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volume

6

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issue

6

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page(s)

5107-5123

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copyright license

Creative Commons Attribution 4.0 International

start time

5 June 2014

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April 2022 Public Data File from Crossref

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copyrighted

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cites work

Trait Estimation in Herbaceous Plant Assemblages from in situ Canopy Spectra

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21 January 2018

Wheat leaf rust caused by Puccinia triticina.

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21 January 2018

The potential of optical canopy measurement for targeted control of field crop diseases.

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21 January 2018

Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture

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21 January 2018

Evaluating Wheat Nitrogen Status with Canopy Reflectance Indices and Discriminant Analysis

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21 January 2018

A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency

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21 January 2018

Reflectance indices associated with physiological changes in nitrogen- and water-limited sunflower leaves

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21 January 2018

Estimation of plant water concentration by the reflectance Water Index WI (R900/R970)

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21 January 2018

Optical properties and nondestructive estimation of anthocyanin content in plant leaves.

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21 January 2018

Hyperspectral imaging for small-scale analysis of symptoms caused by different sugar beet diseases

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21 January 2018

Hyperspectral Reflectance and Fluorescence Imaging to Detect Scab Induced Stress in Apple Leaves

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retrieved

21 January 2018

Automatic detection of ‘yellow rust’ in wheat using reflectance measurements and neural networks

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reference URL

https://api.crossref.org/works/10.3390%2FRS6065107

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21 January 2018

Evaluating ten spectral vegetation indices for identifying rust infection in individual wheat leaves

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Crossref

reference URL

https://api.crossref.org/works/10.3390%2FRS6065107

retrieved

21 January 2018

Identifiers

DOI

10.3390/RS6065107

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DBLP publication ID

journals/remotesensing/AshourlooMH14a

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DBLP Dataset 2021-01-02

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28 January 2021

(Q57192864)

Evaluating the Effect of Different Wheat Rust Disease Symptoms on Vegetation Indices Using Hyperspectral Measurements

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