Method / resourcemodel-written summary

The CNN with VGGNet reached 97.75% training accuracy at 150 epochs.

A claim from Enhancing Cabbage Plant Protection: CNN Algorithm for Insect Identification · 2024

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The CNN with VGGNet reached 97.75% training accuracy at 150 epochs.

Treatment
epoch value of 150e0
Outcome
accuracy ratee0
Value
97.75%e0

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleComparatorSettingDirectionQualifier

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

Brassica oleracea var. capitata
Brassica oleracea var. capitata · TaxonThamizhpparithi Maari · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“utilizing an epoch value of 150 resulted in a 97.75% accuracy rate during the training model technique”

✓ located verbatim in the source · abstract, characters 924–1026
t0

“Cabbage Plant”

✓ located verbatim in the source · title, characters 10–23

Title

Enhancing Cabbage Plant Protection: CNN Algorithm for Insect Identification

Remi Senjaya; Purnawarman Musa; Puji Sularsih; et al. 2024 International Conference on Information Technology Research and Innovation (ICITRI) 2024. doi:10.1109/icitri62858.2024.10698927

Other claims from this paper (4)

Record rev-e1497393ee23e82a7b64378b42b08ccad0f2a929bca8f8eeeec404b9a87e7d5b · schema claims-v0.9 · position 1 in the model’s answer