Machine learning methods (PLSR, ANN, RF) performed better than simple linear regression for predicting wheat yield.

Claim · model-written summary

Machine learning methods (PLSR, ANN, RF) performed better than simple linear regression for predicting wheat yield.

Taxon

wheatTriticum aestivume2

Outcome

predicting wheat yielde2

Direction

performed bettere2

Comparator

Simple linear regression (LR)e3

Setting

three regions of Jiangsu Provincee0

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentValueQualifier

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

Verbatim

e0

“This study was carried out on wheat trials treated with different nitrogen levels and seeding densities in three regions of Jiangsu Province in 2018–2019”

e2

“Machine learning methods (i.e., PLSR, ANN, and RF) performed better for predicting wheat yield”

e3

“Simple linear regression (LR), multiple linear regression (MLR), stepwise multiple linear regression (SMLR)”