The CNN achieved 94% accuracy on rice leaf images with ten-fold cross-validation, significantly higher than other methods.

Claim · model-written summary

The CNN achieved 94% accuracy on rice leaf images with ten-fold cross-validation, significantly higher than other methods.

Taxon

riceOryza sativae0

Organ / stage

leavese0

Outcome

accuracye0

Direction

highere0

Value

94%e0

Qualifier

10-fold cross-validation processe0

Comparator

other methodse0

Not reportedMaterialGeneCompoundInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSetting

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

Verbatim

e0

“The proposed approach was evaluated on a dataset of 8883 and 1200 images of disease and healthy rice leaves, respectively, achieving an accuracy of 94% when subjected to the 10-fold cross-validation process, significantly higher than other methods”