Claim · model-written summary
The relationships between the first five water vegetation indices and leaf water content were stable under GRA.
- Taxon
- winter wheat
Triticum aestivume0 - Treatment
- GRAe4
- Outcome
- the relationships between the first five WVI and LWCe4
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleComparatorSettingDirectionValueQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“the precision of estimating LWC in winter wheat”
e4“the relationships between the first five WVI and LWC were stable by using GRA”
Title
Xiuliang Jin; Xinguang Xu 2012 First International Conference on Agro- Geoinformatics (Agro-Geoinformatics) 2012. doi:10.1109/agro-geoinformatics.2012.6311706
Other claims from this paper (5)
- Method / resource PLS estimated leaf water content of winter wheat at anthesis with a value of 0.63.
- Method / resource SRM-PLS estimated leaf water content of winter wheat at anthesis with a value of 0.46.
- Method / resource In validation with 2009 data, the PLS model had a root mean square error of 2.6 %.
- Method / resource In validation with 2009 data, the SRM-PLS model had a root mean square error of 3.12 %.
- Association Using GRA first improved the estimation accuracy of leaf water content in winter wheat.