Method / resourcemodel-written summary

The model test mean squared loss was 0.0021.

A claim from Normalized Difference Vegetation Index Prediction for Blueberry Plant Health from RGB Images: A Clustering and Deep Learning Approach · 2024

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The model test mean squared loss was 0.0021.

Taxon
Blueberryt0
Outcome
mean squared lossese0
Value
0.0021e0
Qualifier
test datasetse0

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirection

Verbatim

e0

“The model achieved strong performance with mean squared losses of 0.0074, 0.0044, and 0.0021 for training, validation, and test datasets, respectively.”

✓ located verbatim in the source · abstract, characters 1080–1231
t0

“Blueberry”

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

Title

Normalized Difference Vegetation Index Prediction for Blueberry Plant Health from RGB Images: A Clustering and Deep Learning Approach

A. G. M. Zaman; Kallol Roy; Jüri Olt AgriEngineering 2024. doi:10.3390/agriengineering6040276

Other claims from this paper (6)

Record rev-8934a95ac893a4fc1f09040287e54fe92253235cab148b7ff2ecd2314554413c · schema claims-v0.9 · position 4 in the model’s answer