Random Forest, K-NN and LSSVM classifiers using color features reached an accuracy of about 86% for paddy crop and weed classification.

Claim · model-written summary

Random Forest, K-NN and LSSVM classifiers using color features reached an accuracy of about 86% for paddy crop and weed classification.

Taxon

paddy crope1

Outcome

accuracye2

Value

86%e2

Qualifier

by all the classifierse2

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirection

Verbatim

e1

“classification of paddy crop and two types of weeds namely, sedges and grass-type weeds has been done using only color features”

e2

“An accuracy around 86% was obtained by all the classifiers”