Claim · model-written summary
DroneZaic and CorNetv3 were more robust than CorNet and CorNetv2.
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingValueQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“DroneZaic and its refined CorNetv3 are more accurate, achieving a 13.1% improvement in absolute percentage error, 14.11 times faster than affine scale‐invariant feature transform (ASIFT), and more robust than our earlier CorNet and CorNetv2 .”
e1“maize lines”
Title
Dewi Endah Kharismawati; Toni Kazic The Plant Phenome Journal 2025. doi:10.1002/ppj2.70033
Other claims from this paper (3)
- Method / resource DroneZaic techniques significantly reduced mosaic errors.
- Method / resource DroneZaic and CorNetv3 improved absolute percentage error by 13.1%.
- Method / resource DroneZaic and CorNetv3 were 14.11 times faster than ASIFT.