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Momordica is a genus of about 60 species of annual or perennial climbers herbaceous or rarely small shrubs belonging to the family Cucurbitaceae, natives of tropical and subtropical Africa and Asia and Australia. Most species produce floral oils and are visited by specialist pollinators in the apid tribe Ctenoplectrini. A molecular phylogeny that includes all species is available (Schaefer and Renner, 2010).
Defect momordica grosvenori recognition method and system based on YOLO series model and confidence threshold determination
The application discloses a kind of based on YOLO series model and confidence threshold determination Defect Momordica fruit recognition method and system belong to agricultural product processing target detection field.This method includes: collecting Momordica fruit multi-view image;It is preprocessed by size normalization, brightness adjustment, noise suppression etc.;Input YOLO series model outputs whole fruit detection frame, good / bad class and confidence;Final determination is completed by non-maximum suppression and confidence threshold;Output result is used for display, storage or drive sorting.System is composed of image acquisition, image preprocessing, YOLO identification, confidence threshold determination, result output module.This application covers a variety of surface defects, reduces environmental and texture interference, outputs stable determination signal, can be directly connected to automatic sorting equipment, with high precision, strong adaptability, deployment flexible etc.Advantages, suitable for Momordica fruit large-scale processing quality detection and grading.
Owner:GUILIN UNIV OF ELECTRONIC TECH