Abstract
Wheat leaves were measured radiometrically in order to spectrally characterize the water deficiency symptoms. In this study, a FieldSpec-FR was used for measuring wheat leaf spectra. After the spectral analysis using a spectral normalizing technique, the spectral absorption feature parameters: wavelength position (nm), depth and area (relative value) were extracted from each wheat leaf spectrum. The relative water content (RWC) was measured for each wheat leaf sample. A linear regression analysis was conducted between the spectral absorption feature parameters and corresponding RWCs. The experimental results from 110 samples indicated that reflectance spectra of wheat leaves in the 1650-1850 nm region were dominated by water content. With a decrease in wheat leaf RWC, the 1650-1850 nm spectral absorption features gradually become obvious. The relative errors of predicted RWCs and the absolute error of predicted wavelength positions were calculated from 12 validation samples by established regression equations. The relative errors of predicted RWCs and the absolute error of predicted wavelength position (nm) were both low (
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Claims 4
Claim · model-written summary
Water content dominated wheat leaf reflectance spectra in the 1650-1850 nm region.
- Taxon
- wheat
Triticum aestivumt0 - Outcome
- reflectance spectra of wheat leavese0
- Qualifier
- 1650-1850 nm regione0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“wheat”
e0“reflectance spectra of wheat leaves in the 1650-1850 nm region were dominated by water content”
Claim · model-written summary
As wheat leaf relative water content decreased, absorption features became more obvious.
- Taxon
- wheatTriticum aestivumt0
- Organ / stage
- wheat leafe1
- Outcome
- 1650-1850 nm spectral absorption featurese1
- Direction
- become obviouse1
- Qualifier
- decrease in wheat leaf RWCe1
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“wheat”
e1“With a decrease in wheat leaf RWC, the 1650-1850 nm spectral absorption features gradually become obvious”
Claim · model-written summary
Prediction errors for relative water content were low.
- Taxon
- wheatTriticum aestivumt0
- Outcome
- relative errors of predicted RWCse2
- Direction
- lowe2
- Comparator
- predicted wavelength positione2
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“wheat”
e2“The relative errors of predicted RWCs and the absolute error of predicted wavelength position (nm) were both low (”
Claim · model-written summary
Prediction errors for wavelength position were low.
- Taxon
- wheatTriticum aestivumt0
- Outcome
- absolute error of predicted wavelength positione2
- Direction
- lowe2
- Comparator
- predicted RWCse2
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“wheat”
e2“The relative errors of predicted RWCs and the absolute error of predicted wavelength position (nm) were both low (”