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Method / resourceauthor interpretationoriginal resultpositivemeasured

Claim · model-written summary

A portable video camera estimated leaf chlorophyll content with sufficient practical accuracy.

Organ / stage
leavese0
Outcome
chlorophyll content of leavese0
Direction
sufficient accuracye0
Value
sufficient accuracye0

Not reportedTaxon

Verbatim

e0

“the chlorophyll content of leaves can be estimated with sufficient accuracy using a portable video camera”

✓ located verbatim in the source · abstract, characters 890–995

Title

An Algorithm for Estimating Chlorophyll Content in Leaves Using a Video Camera

S KAWASHIMA Annals of Botany 1998. doi:10.1006/anbo.1997.0544

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

Claim · model-written summary

Leaf chlorophyll content estimated from Hyperion data reached R 2 = 0.5735.

Taxon
forest canopye0
Outcome
R 2e2
Value
0.5735e2
Qualifier
Leaf chlorophyll contente2

Verbatim

e0

“the accurate estimation of the forest canopy chlorophyll content is a significant foundation”

✓ located verbatim in the source · abstract, characters 130–222
e2

“Leaf chlorophyll content was estimated with R 2 = 0.5735, RMSE = 7.3574 ¿g/cm 2”

✓ located verbatim in the source · abstract, characters 1463–1542

Title

Leaf and canopy cholorophyll content retrieval from hyperspectral remote sensing imagery

Xiguang Yang; Wenyi Fan; Ying Yu 2010 IEEE Sensors Applications Symposium (SAS) 2010. doi:10.1109/sas.2010.5439437

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

Claim · model-written summary

Leaf chlorophyll content estimated from Hyperion data had an RMSE of 7.3574 ¿g/cm 2.

Taxon
forest canopye0
Outcome
RMSEe2
Value
7.3574 ¿g/cm 2e2
Qualifier
Leaf chlorophyll contente2

Verbatim

e0

“the accurate estimation of the forest canopy chlorophyll content is a significant foundation”

✓ located verbatim in the source · abstract, characters 130–222
e2

“Leaf chlorophyll content was estimated with R 2 = 0.5735, RMSE = 7.3574 ¿g/cm 2”

✓ located verbatim in the source · abstract, characters 1463–1542

Title

Leaf and canopy cholorophyll content retrieval from hyperspectral remote sensing imagery

Xiguang Yang; Wenyi Fan; Ying Yu 2010 IEEE Sensors Applications Symposium (SAS) 2010. doi:10.1109/sas.2010.5439437

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

Claim · model-written summary

The neural network estimated lettuce leaf chlorophyll content with reasonable accuracy.

Taxon
lettuceLactuca sativae0
Outcome
lettuce leaf chlorophyll contente0
Qualifier
reasonable accuracye0

Not reportedComparatorValue

Verbatim

e0

“the MLPNN model was capable of estimating the lettuce leaf chlorophyll content with a reasonable accuracy”

✓ located verbatim in the source · abstract, characters 800–905

Title

Multilayer Perceptron Neural Network Approach to Estimate Chlorophyll Concentration Index of Lettuce (Lactuca sativaL.)

Mehmet Serhat Odabas; Halis Simsek; Chiwon W. Lee; et al. Communications in Soil Science and Plant Analysis 2016. doi:10.1080/00103624.2016.1253726

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

Claim · model-written summary

Epifluorescence estimated relative chlorophyll content through spinach leaf tissues, and the leaf cross-section fluorescence profile corresponded to chlorophyll content measured in leaf paradermal extracts.

Organ / stage
leaf tissuese1
Outcome
relative chlorophyll contente1
Comparator
chlorophyll content measured in extracts of leaf paradermal sectionse2

Verbatim

t0

“Profiles of light absorption and chlorophyll within spinach leaves from chlorophyll fluorescence”

✓ located verbatim in the source · title, characters 0–96
e1

“Thus epifluorescence was used to estimate relative chlorophyll content through leaf tissues”

✓ located verbatim in the source · abstract, characters 703–794
e2

“corresponded to chlorophyll content measured in extracts of leaf paradermal sections”

✓ located verbatim in the source · abstract, characters 617–701

Title

Profiles of light absorption and chlorophyll within spinach leaves from chlorophyll fluorescence

T. C. Vogelmann; J. R. Evans Plant Cell & Environment 2002. doi:10.1046/j.1365-3040.2002.00910.x

Other claims from this paper (7)
Intervention effectobservedoriginal resultnegativemeasured

Claim · model-written summary

VOE reduced estimated leaf chlorophyll content the most, by 11% overall for 23 days after treatment.

Taxon
Sweet CherryPrunus aviumt0
Treatment
VOEe0
Outcome
estimated leaf chlorophyll contente0
Direction
reducede0
Value
11%e0
Qualifier
for 23 days after treatmente0
Comparator
untreated controle1

Verbatim

e0

“VOE reduced estimated leaf chlorophyll content the greatest, suppressing overall levels by 11% for 23 days after treatment”

✓ located verbatim in the source · abstract, characters 883–1005
e1

“an untreated control”

✓ located verbatim in the source · abstract, characters 439–459
t0

“Sweet Cherry”

✓ located verbatim in the source · title, characters 43–55

Title

Physiological and Horticultural Effects of Sweet Cherry Chemical Blossom Thinners

Olivia M. Lenahan; Matthew D. Whiting HortScience 2006. doi:10.21273/hortsci.41.7.1547

Other claims from this paper (14)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Chlorophyll-based empirical formulas estimated maize leaf nitrogen content more accurately than leaf-protein formulas.

Taxon
maizeZea mayse0
Outcome
maize LNCe0
Direction
more accuratelye0
Comparator
those based on leaf protein contente0

Verbatim

e0

“the Chlorophyll (Chl)-based empirical formulas estimated maize LNC more accurately than those based on leaf protein content.”

✓ located verbatim in the source · abstract, characters 1512–1636

Title

DeepSpecN: A new hybrid method combining PROSPECT-PRO and Conv-Transformer to estimate leaf nitrogen content from leaf reflectance

Shuai Yang; Anirudh Belwalkar; Dong Li; et al. Plant Phenomics 2025. doi:10.1016/j.plaphe.2025.100125

Other claims from this paper (3)
Associationobservedoriginal resultpositivemeasured

Claim · model-written summary

Overall leaf nitrogen was positively correlated with estimated chlorophyll content, especially in the top of trembling aspen trees.

Taxon
trembling aspene1
Organ / stage
leafe0
Compound
leaf Ne0
Outcome
estimated chlorophyll contente0
Direction
positivee0
Qualifier
especially in the top part of the treese0

Verbatim

e0

“There was a positive correlation between overall leaf N and estimated chlorophyll content, especially in the top part of the trees.”

✓ located verbatim in the source · abstract, characters 703–834
e1

“in trembling aspen”

✓ located verbatim in the source · abstract, characters 334–352

Title

Assessing Variations in SPAD‐502 Chlorophyll Meter Measurements and Their Relationships with Nutrient Content of Trembling Aspen Foliage

Marie‐Claude Bonneville; James W. Fyles Communications in Soil Science and Plant Analysis 2006. doi:10.1080/00103620500449385

Other claims from this paper (2)
Associationobservedoriginal resultnegativemeasured

Claim · model-written summary

Estimated chlorophyll content progressively decreased as disease spread.

Taxon
leafe0t0
Interactor
diseasee0
Outcome
chlorophyll contente0
Direction
progressively decreasede0

Verbatim

e0

“the chlorophyll content progressively decreased as the disease spreads”

✓ located verbatim in the source · abstract, characters 785–855
t0

“leaf”

✓ located verbatim in the source · title, characters 118–122

Title

Exploring the potential of PROCOSINE and close-range hyperspectral imaging to study the effects of fungal diseases on leaf physiology

Julien Morel; Sylvain Jay; Jean-Baptiste Féret; et al. Scientific Reports 2018. doi:10.1038/s41598-018-34429-0

Other claims from this paper (4)
Observationobservedoriginal resultnegativesignificant (as stated)measured

Claim · model-written summary

PROSAIL under-estimated leaf chlorophyll content, with a weakly significant trend.

Taxon
spring wheatTriticum aestivume1
Outcome
leaf chlorophyll contente2
Direction
under-estimatee2
Qualifier
weakly significant trende2

Verbatim

e1

“leaf chlorophyll content of spring wheat (Triticum aestivum L.)”

✓ located verbatim in the source · abstract, characters 365–428
e2

“There was a weakly significant trend for the PROSAIL model to over-estimate LAI and under-estimate leaf chlorophyll content”

✓ located verbatim in the source · abstract, characters 715–838

Title

Non-destructive estimation of wheat leaf chlorophyll content from hyperspectral measurements through analytical model inversion

E. J. Botha; B. Leblon; B. J. Zebarth; et al. International Journal of Remote Sensing 2010. doi:10.1080/01431160902926574

Other claims from this paper (6)

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