Integrating multispectral imagery and accumulated temperature in the CNN-Transformer phenology monitoring model for maize achieved an accuracy of 92.9%.

Claim · model-written summary

Integrating multispectral imagery and accumulated temperature in the CNN-Transformer phenology monitoring model for maize achieved an accuracy of 92.9%.

Taxon

MaizeZea mayst0

Outcome

accuracye1

Value

92.9%e1

Qualifier

integration of multispectral imagery and accumulated temperaturee1

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirection

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

Verbatim

e1

“the integration of multispectral imagery and accumulated temperature achieved an accuracy of 92.9%”

t0

“Maize Phenology”