Method / resource 44,457 claims

Claim · model-written summary

The study provides a quantitative framework for testing spatial organization in cellular mosaics where point-based methods fail.

Outcome

quantitative framework for testing spatial organization in cellular mosaicse0

Comparator

point-based methodse0

Verbatim

e0

“provides a quantitative framework for testing spatial organization in cellular mosaics where point-based methods fail”

Claim · model-written summary

The Richards model accurately fitted the growth dynamics of leaf area.

Taxon

cauliflowerBrassica oleracea var. botrytist0

Outcome

growth dynamics of leaf areae0

Not reportedComparator

Verbatim

t0

“cauliflower”

e0

“the Richards model and Sine model were used to accurately fit the growth dynamics of leaf area and curd area, respectively”

Claim · model-written summary

The Sine model accurately fitted the growth dynamics of curd area.

Taxon

cauliflowerBrassica oleracea var. botrytist0

Outcome

growth dynamics of leaf area and curd areae0

Not reportedComparator

Verbatim

t0

“cauliflower”

e0

“the Richards model and Sine model were used to accurately fit the growth dynamics of leaf area and curd area, respectively”

Claim · model-written summary

New shape descriptors based on cross-sectional area profiles and other spike features were introduced to capture structural variation between wheat genotypes.

Outcome

New shape descriptors based on cross-sectional area profilese1

Not reportedTaxonComparator

Verbatim

e1

“New shape descriptors based on cross-sectional area profiles, local extremes, statistical curve fitting, segmentation of spikes into zones of aborted spikelets, base and apical segments as well as the extraction of spike/spikelets branching and endpoints of components were introduced to capture detailed structural variation between genotypes”

Claim · model-written summary

Correlations between 3D-derived traits and traditional metrics such as spike weight, spikelet number and seed weight confirmed the biological relevance of the extracted parameters.

Outcome

Correlations between the 3D-derived traitse1

Comparator

traditional metricse1

Verbatim

e1

“Correlations between the 3D-derived traits and traditional metrics such as spike weight, spikelet number and seed weight confirmed the biological relevance of the extracted parameters”

Claim · model-written summary

The method distinguished morphological differences among twelve wheat genotypes, revealing distinct shape types such as long, short, compact and awned spikes.

Taxon

wheatTriticum aestivume1

Outcome

morphological differencese1

Qualifier

distinct shape types such as long, short, compact, and awned spikese1

Comparator

twelve wheat genotypese1

Verbatim

e1

“The method distinguished morphological differences among twelve wheat genotypes, revealing distinct shape types such as long, short, compact, and awned spikes”

Claim · model-written summary

Almost all qualitative conclusions, including suitability of a hypothesised network structure and sensitivity analysis, from plausible calibrations of the parameterised pea branching model were obtained by the parameter-free model.

Taxon

peaLathyrus oleraceust0

Outcome

almost all of the qualitative conclusionse1

Comparator

its parameterised analoge1

Verbatim

e1

“we compare the parameter-free model to the set of plausible calibrations of its parameterised analog, hence demonstrating that almost all of the qualitative conclusions given data - including both suitability of a hypothesised network structure, and sensitivity analysis - are obtained by the parameter-free paradigm”

t0

“case study in pea”

Claim · model-written summary

Integrating multispectral imagery and accumulated temperature in the CNN-Transformer phenology monitoring model for maize achieved an accuracy of 92.9%.

Taxon

MaizeZea mayst0

Outcome

accuracye1

Value

92.9%e1

Qualifier

integration of multispectral imagery and accumulated temperaturee1

Verbatim

e1

“the integration of multispectral imagery and accumulated temperature achieved an accuracy of 92.9%”

t0

“Maize Phenology”

Claim · model-written summary

Adding thermal infrared imagery further improved the maize phenology monitoring accuracy to 97.5%.

Taxon

MaizeZea mayst0

Outcome

accuracye1

Direction

improvede1

Value

97.5%e1

Verbatim

e1

“the inclusion of thermal infrared imagery further improved the accuracy to 97.5%”

t0

“Maize Phenology”

Claim · model-written summary

The dataset provides georeferenced point clouds from 15 terrestrial laser scanner scans along two vineyard rows at nine phenological stages of grapevines.

Taxon

grapevinesVitist0

Outcome

point cloudse1

Value

15 TLS scanse1

Setting

two vineyard rowse1

Verbatim

e1

“Georeferenced point clouds were generated from 15 TLS scans along two vineyard rows at nine phenological stages”

t0

“dataset of grapevines”