Method / resourcemodel-written summary

The NDVI model attained R2 at least 0.826 and RMSE at most 15.0 g/m2 for Sen-cya.

A claim from Investigation of Temporal and Spatial Variability for Green Tea Growth Using Precision Agriculture Technology · 2010

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The NDVI model attained R2 at least 0.826 and RMSE at most 15.0 g/m2 for Sen-cya.

Taxon
Green Teat0
Material
Sen-cyae0
Outcome
accuracye0
Value
R2≥0.826 with RMSE≤15.0 g/m2e0

Not reportedGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionQualifier

Verbatim

e0

“The accuracy was R2≥0.826 with RMSE≤15.0 g/m2 for “Sen-cya””

✓ located verbatim in the source · abstract, characters 760–819
t0

“Green Tea”

✓ located verbatim in the source · title, characters 54–63

Title

Investigation of Temporal and Spatial Variability for Green Tea Growth Using Precision Agriculture Technology

Chanseok Ryu; Masahiko Suguri; Mikio Umeda Engineering in Agriculture Environment and Food 2010. doi:10.1016/s1881-8366(10)80002-3

Other claims from this paper (4)

Record rev-5af408d7115bb17eebeb03ecae09d74368dd8e36a85d04ba0cde001dd46e9689 · schema claims-v0.9 · position 4 in the model’s answer