Pflanzenannotationsdienste für Phänotypisierung, Krankheitserkennung und Agronomieforschung

Plant level datasets require detailed annotation to support phenotyping studies, disease detection models, growth analysis, and agronomy research.

Scientific plant imagery varies by species, growth stages, and imaging methods, so annotation must match strict biological standards. DataVLab provides plant annotation services for research teams, seed companies, agronomy labs, and AI platforms focused on plant health.

We support leaf and stem segmentation, lesion labeling, chlorosis and necrosis detection, root structure annotation, plant counting, canopy segmentation, and developmental stage classification. Quality control includes morphology checks, stage validation, disease pattern verification, and expert reviewed training sets.