The smallest FISS chlorophyll retrieval RMSE was 0.201 mg/g, over 30% lower than non-imaging ASD.

Claim · model-written summary

The smallest FISS chlorophyll retrieval RMSE was 0.201 mg/g, over 30% lower than non-imaging ASD.

Taxon

soybeanGlycine maxe0

Outcome

RMSEe0

Direction

reductione0

Value

0.201 mg/ge0

Qualifier

more than 30%e0

Comparator

non-imaging ASD spectrometere0

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSetting

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim

e0

“soybean leaves. The chlorophyll content was retrieved using a multiple linear regression (MLR), partial least squares (PLS) regression and support vector machine (SVM) regression. Our objective was to verify the performance of FISS in a quantitative spectral analysis through the estimation of chlorophyll content and to determine a proper quantitative spectral analysis method for processing FISS data. The results revealed that the derivative reflectance was a more sensitive indicator of chlorophyll content and could extract content information more efficiently than the spectral reflectance, which is more significant for FISS data compared to ASD (analytical spectral devices) data, reducing the corresponding RMSE (root mean squared error) by 3.3%-35.6%. Compared with the spectral features, the regression methods had smaller effects on the retrieval accuracy. A multivariate linear model could be the ideal model to retrieve chlorophyll information with a small number of significant wavelengths used. The smallest RMSE of the chlorophyll content retrieved using FISS data was 0.201 mg/g, a relative reduction of more than 30% compared with the RMSE based on a non-imaging ASD spectrometer”