Claim · model-written summary
Machine vision imaging achieved about 90% accuracy.
Zea maysNot reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleComparatorSettingDirectionQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“maize variety seeds”
e0“machine vision imaging provided ~ 90% accuracy”
Title
Keling Tu; Shaozhe Wen; Ying Cheng; et al. Plant Methods 2022. doi:10.1186/s13007-022-00918-7
Other claims from this paper (3)
- Method / resource HSI with MLP distinguished Jingke 968 from varieties differing at as few as two loci with at least 99% accuracy.
- Method / resource HSI with SVM distinguished Jingke 968 from varieties differing at as few as two loci with at least 99% accuracy.
- Method / resource Validation and updating produced a Jingke 968 genuineness model that discriminated genetically similar and distant varieties.