Claim · model-written summary
Validation of the yield model for maize gave MREs of 12.14%.
Zea maysNot reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“MREs of 12.14%, 11.96%, and 14.06%”
t0“maize”
Title
A 10 m maize, rice and soybean yield dataset from 2016 to 2021 in Northeast China
Fei Teng; Minglei Wang; Wenjiao Shi; et al. Scientific Data 2026. doi:10.1038/s41597-026-06719-0
Other claims from this paper (9)
- Method / resource A yield dataset at 10 m resolution was produced for major maize, rice and soybean regions of Northeast China for 2016 to 2021, with a method that estimates yields without field measurements.
- Method / resource Validation of the yield model for maize gave r values of 0.39.
- Method / resource Validation of the yield model for maize gave rRMSEs of 16.97%.
- Method / resource Validation of the yield model for rice gave r values of 0.51.
- Method / resource Validation of the yield model for rice gave MREs of 11.96%.
- Method / resource Validation of the yield model for rice gave rRMSEs of 16.12%.
- Method / resource Validation of the yield model for soybean gave r values of 0.52.
- Method / resource Validation of the yield model for soybean gave MREs of 14.06%.
- Method / resource Validation of the yield model for soybean gave rRMSEs of 17.26%.