In single-year forecasting the model reduced RMSE by 4.1762% relative to leading models such as AMAP on US soybean county data.

Claim · model-written summary

In single-year forecasting the model reduced RMSE by 4.1762% relative to leading models such as AMAP on US soybean county data.

Taxon

soybeanGlycine maxe1

Outcome

RMSEe0

Direction

reducese0

Value

4.1762%e0

Comparator

leading models like AMAPe2

Setting

major U.S. soybean-producing statese1

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentQualifier

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

Verbatim

e0

“in single-year forecasting, the model reduces RMSE by 4.1762% and boosts R2 by 3.4458%”

e1

“major U.S. soybean-producing states”

e2

“compared with leading models like AMAP”