In five-year forecasting the model increased R2 by 4.7537% relative to leading models such as AMAP on US soybean county data.

Claim · model-written summary

In five-year forecasting the model increased R2 by 4.7537% relative to leading models such as AMAP on US soybean county data.

Taxon

soybeanGlycine maxe1

Outcome

R2e0

Direction

increasese0

Value

4.7537%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

“For five-year long-term forecasting, it reduces the RMSE by 3.2914% and increases the R2 by 4.7537%”

e1

“major U.S. soybean-producing states”

e2

“compared with leading models like AMAP”