Claim · model-written summary
The integrated method had higher accuracy than vegetation index alone for aboveground dry matter prediction.
- Outcome
- predicting aboveground dry mattere0
- Direction
- higher accuracye0
- Value
- R2 = 0.92e0
- Comparator
- vegetation index alonee0
Not reportedTaxonMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingQualifier
Verbatim
e0“higher accuracy compared to using vegetation index alone for predicting aboveground dry matter (R2 = 0.92, RMSE = 1.56)”
Title
Zechen Li; Menglei Dai; Xiaodong Yun; et al. Agriculture 2026. doi:10.3390/agriculture16040392
Other claims from this paper (7)
- Method / resource Four maize varieties followed a critical nitrogen dilution curve with R2 at least 0.88.
- Method / resource The unified CNDC model had R2 of 0.94.
- Method / resource The RF model predicted aboveground dry matter with R2 0.94 and RMSE 1.56 t ha−1.
- Method / resource The RF model predicted plant nitrogen content with R2 0.92 and RMSE 1.98 g/kg.
- Method / resource The integrated method had higher accuracy than vegetation index alone for plant nitrogen concentration prediction.
- Method / resource The integrated model significantly outperformed SVM and PLSR models.
- Method / resource Adding SPADi and plant height index enhanced model accuracy for maize nitrogen concentration and aboveground dry matter.