Claim · model-written summary
LUE model accuracy approached machine learning accuracy in some growth stages.
- Outcome
- accuracye0
- Direction
- approachede0
- Qualifier
- some growth stagese0
- Comparator
- machine learning modele0
Not reportedTaxonMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingValue
Verbatim
e0“the LUE model approached machine learning model accuracy in some growth stages”
Title
Xuegui Zhang; Yao Li; Xiaoya Wang; et al. Agronomy 2025. doi:10.3390/agronomy15092187
Other claims from this paper (5)
- Method / resource LSM outperformed other machine learning models in both scenarios.
- Method / resource Without SIF, LSM averaged R2 0.87 and exceeded individual models.
- Method / resource Adding SIF improved the accuracy of all machine learning models.
- Method / resource With SIF, LSM average R2 rose to 0.91.
- Method / resource Overall LUE model performance was limited.