SVM with NDVI phenology metrics had the highest maize yield prediction accuracy.

Claim · model-written summary

SVM with NDVI phenology metrics had the highest maize yield prediction accuracy.

Taxon

maizeZea mayse0

Outcome

accuracy for maize yield predictione0

Direction

higheste0

Value

R2 = 0.935, RMSE = 0.558 t ha−1, MAE = 0.399 t ha−1e0

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingQualifier

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

Verbatim

e0

“The results suggested that the SVM method based on NDVI phenology metrics produced the highest accuracy for maize yield prediction (R2 = 0.935, RMSE = 0.558 t ha−1, MAE = 0.399 t ha−1).”