Claim · model-written summary
The CNN with VGGNet reached 97.75% training accuracy at 150 epochs.
- Taxon
- Cabbage
Brassica oleracea var. capitatat0 - 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.

Verbatim
e0“utilizing an epoch value of 150 resulted in a 97.75% accuracy rate during the training model technique”
t0“Cabbage Plant”
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)
- Method / resource Validation accuracy was 94.25%, below training accuracy.
- Method / resource Training loss was 0.0613%.
- Method / resource Validation loss was 0.2945%.
- Method / resource Testing on 48 additional images yielded 91.66% accuracy.