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Observationobservedoriginal resultmeasured

Claim · model-written summary

The water activity calibration regression coefficient contained a water band at 966 nm.

Outcome
water bande0
Value
966 nme0

Verbatim

e0

“The regression coefficient contained water band at 966 nm.”

✓ located verbatim in the source · abstract, characters 2183–2241
t0

“Rice”

✓ located verbatim in the source · title, characters 98–102

Title

Application of Near Infrared Spectroscopy for Determining Protein, Moisture and Water Activity in Rice

BANGWEAK, Charuwan Institutional Repositories DataBase (IRDB) . doi:10.24514/00002816

Other claims from this paper (8)
Observationobservedoriginal resultmeasured

Claim · model-written summary

The water absorption band at 970 nm showed relatively weaker sensitivity to water content parameters.

Taxon
SoybeanGlycine maxt0
Outcome
sensitivity to water content parameterse0
Direction
weakere0
Qualifier
water absorption band at 970 nme0

Verbatim

t0

“Soybean”

✓ located verbatim in the source · title, characters 87–94
e0

“the specific water absorption band at 970 nm showed relatively weaker sensitivity to water content parameters”

✓ located verbatim in the source · abstract, characters 962–1071

Title

Evaluation of Hyperspectral Reflectance Parameters to Assess the Leaf Water Content in Soybean

Marek Kovar; Marian Brestic; Oksana Sytar; et al. Water 2019. doi:10.3390/w11030443

Other claims from this paper (6)
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Linear scanning measured water band index distributions on vegetation samples.

Taxon
vegetation samplese0
Outcome
distributions of the above-said water band indexe0
Comparator
linear scanninge0

Not reportedValue

Verbatim

e0

“Using a linear scanning of vegetation samples, distributions of the above-said water band index were experimentally measured”

✓ located verbatim in the source · abstract, characters 900–1024

Title

Spectral Diffractive Lenses for Measuring a Modified Red Edge Simple Ratio Index and a Water Band Index

Veronika Blank; Roman Skidanov; Leonid Doskolovich; et al. Sensors 2021. doi:10.3390/s21227694

Other claims from this paper (2)
Method / resourceobservedoriginal resultnegativemeasured

Claim · model-written summary

Wide CHRIS band spectral functions lowered crop water content prediction accuracy relative to narrow bands.

Taxon
winter wheatTriticum aestivume1
Outcome
accuracy of crop water contente0
Direction
lowere0
Comparator
narrow band spectral functione0

Verbatim

e0

“wide band spectral function indeed caused a lower accuracy of crop water content than narrow band spectral function”

✓ located verbatim in the source · abstract, characters 1148–1263
e1

“winter wheat”

✓ located verbatim in the source · abstract, characters 359–371

Title

Study on the predicted model of crop leaf water status by the NIR band of ground reflectance and spaceborne hyperspectral images

Quanjun Jiao; Xue Liu; Bo Liu; et al. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE 2007. doi:10.1117/12.756091

Other claims from this paper (2)
Associationobservedoriginal resultmeasured

Claim · model-written summary

J-step, I-step, K-band, and L-band increased with water deficit.

Taxon
maizeZea mayst0
Treatment
increased WD stresse1
Outcome
J-step and I-step, K-band as well as L-bande0
Direction
increasee0

Verbatim

e0

“a clear increase in the J-step and I-step, K-band as well as L-band were observed”

✓ located verbatim in the source · abstract, characters 937–1018
e1

“with the increased WD stress”

✓ located verbatim in the source · abstract, characters 597–625
t0

“maize (Zea mays L.)”

✓ located verbatim in the source · title, characters 76–95

Title

Adaptation of photosynthesis to water deficit in the reproductive phaseof a maize (Zea mays L.) inbred line

H.F. ZHENG; L.F. XIN; J.M. GUO; et al. Photosynthetica 2019. doi:10.32615/ps.2019.047

Other claims from this paper (5)
Intervention effectobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

All three investigated fungal pathogens had a statistically significant effect on lettuce leaf water content and water band index.

Taxon
LettuceLactuca sativat0
Treatment
investigated pathogense0
Interactor
pathogense0pathogen
Outcome
leaf water content and water band indexe0

Not reportedComparatorDirection

Verbatim

e0

“All three investigated pathogens had a statistically significant effect on leaf water content and water band index”

✓ located verbatim in the source · abstract, characters 1165–1279
t0

“Lettuce”

✓ located verbatim in the source · title, characters 32–39

Title

Detection of Fungal Diseases in Lettuce by VIR-NIR Spectroscopy in Aquaponics

Ivaylo Sirakov; Katya Velichkova; Toncho Dinev; et al. Microorganisms 2023. doi:10.3390/microorganisms11092348

Other claims from this paper (3)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Band replacement improved leaf water model robustness.

Taxon
winter wheatTriticum aestivumt0
Treatment
band replacemente0
Outcome
model robustnesse0
Direction
enhancede0

Not reportedComparatorValue

Verbatim

e0

“Both band replacement and fusion enhanced model robustness and addressed spectral sensitivity issues”

✓ located verbatim in the source · abstract, characters 1924–2024
t0

“winter wheat leaf water content”

✓ located verbatim in the source · title, characters 93–124
t1

“winter wheat leaf water content”

✓ located verbatim in the source · title, characters 93–124

Title

Feature replacement and fusion enhance the accuracy of canopy spectral monitoring models for winter wheat leaf water content

Zhigang Wang; Sha Yang; Qing Liang; et al. International Journal of Applied Earth Observation and Geoinformation 2026. doi:10.1016/j.jag.2026.105110

Other claims from this paper (6)
Associationobservedoriginal resultmeasured

Claim · model-written summary

Average blue-band reflectance of water-sensitive cards correlated with applied water dose.

Treatment
water dose appliede0
Outcome
average reflectance per pixelse0

Not reportedTaxonDirection

Verbatim

e0

“correlate average reflectance per pixels (quadratic reflectance in blue color band) with water dose applied”

✓ located verbatim in the source · abstract, characters 900–1007

Title

Novel Approaches to Application and Performance Assessment of Insecticide Applications to Crop Leaves

Christian Nansen; Brady Hinson; Dustin Davidson; et al. Journal of Economic Entomology 2010. doi:10.1603/ec09346

Other claims from this paper (4)
Method / resourceobservedoriginal resultnegativemeasured

Claim · model-written summary

Water extract showed no TLC band with the stated mobile phase.

Taxon
Moringa OleiferaMoringa oleiferat0
Outcome
no band appearede0
Value
1:1:1e0

Not reportedComparator

Verbatim

e0

“with water extract no band appeared by using chloroform: methanol: ethanol (1:1:1)”

✓ located verbatim in the source · abstract, characters 1418–1500
t0

“Moringa Oleifera”

✓ located verbatim in the source · title, characters 62–78

Title

Thin Layer Chromatography (TLC) and Phytochemical Analysis of Moringa Oleifera Methanol, Ethanol, Water and Ethyl Acetate Extracts

Ahlam Rashed Ameerah Shaeroun; Ahmed Belgasem Ahmed Hamed Alqamoudy; Khalifa.S Mohamed; et al. Saudi Journal of Medical and Pharmaceutical Sciences 2019. doi:10.36348/sjmps.2019.v05i10.002

Other claims from this paper (6)
Observationobservedoriginal resultmeasured

Claim · model-written summary

The broad band R:FR ratio of the 40% CuSO 4 filter exceeded that of water.

Taxon
chrysanthemumChrysanthemumt0
Outcome
broad band R:FR ratioe0
Direction
highere0
Value
2.1e0
Comparator
water filtere0

Verbatim

e0

“the broad band R:FR ratio (2.1) of 40% CuSO 4 filter was higher than water filter”

✓ located verbatim in the source · abstract, characters 557–638
t0

“CHRYSANTHEMUM”

✓ located verbatim in the source · title, characters 27–40

Title

INFLUENCE OF R:FR RATIO ON CHRYSANTHEMUM GROWTH

Nihal C. Rajapakse; John W. Kelly HortScience 1991. doi:10.21273/hortsci.26.5.484c

Other claims from this paper (5)

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