Claim · model-written summary
Phenological zoning significantly improved yield-model prediction performance.
- Taxon
- Wheat
Triticum aestivumt0 - Outcome
- model prediction performancee0
- Direction
- improvese0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingValueQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Winter Wheat”
e0“phenological zoning strategy significantly improves model prediction performance”
Title
Qiang Wu; Xiaoyu Song; Jie Zhang; et al. Remote Sensing 2025. doi:10.3390/rs17223686
Other claims from this paper (9)
- Observation Heading occurred later in northern areas and earlier in southern areas.
- Observation Median heading day differed among zones by approximately 4 to 5 days.
- Observation The heading-stage pattern had high interannual stability.
- Method / resource The non-zoning model had R2 = 0.46.
- Method / resource The non-zoning model had RRMSE = 13.02%.
- Method / resource The phenological-zone model had R2 of 0.54 to 0.68.
- Method / resource The phenological-zone model had RRMSE below 12.50%.
- Method / resource Phenological zoning yielded more uniform residuals than the other zonings.
- Method / resource Phenological zoning yielded higher prediction stability than other zonings.