Machine vision system for determining citrus count and size on a canopy shake and catch harvester

Applied Engineering in Agriculture

Volumn 25, Issue 4, 2009, Pages 451-458

  Chinchuluun, Radnaabazar ^a   Lee, Won Suk ^a   Ehsani, Reza ^b  

^a University of Florida   (United States)

^b UNIVERSITY OF FLORIDA   (United States)

Author keywords

Canopy shake and catch harvester; Citrus; Machine vision; Yield mapping

Indexed keywords

3CCD CAMERA; BAYESIAN CLASSIFIER; CANOPY SHAKE AND CATCH HARVESTER; CITRUS; CITRUS FRUIT; COEFFICIENT OF DETERMINATION; COLOR IMAGES; COUNTING SYSTEM; DENSITY CLUSTERING; FIELD TEST; FLORIDA; FRUIT WEIGHT; HALOGEN LAMPS; IMAGE PROCESSING ALGORITHM; MACHINE VISION; MACHINE VISION SYSTEMS; MORPHOLOGICAL OPERATIONS; TEST BENCHES; WATERSHED SEGMENTATION; YIELD MAPPING;

ALGORITHMS; BAYESIAN NETWORKS; CAMERAS; CLASSIFIERS; COMPUTER VISION; FRUITS; HARVESTERS; IMAGE ACQUISITION; IMAGING SYSTEMS; LAPTOP COMPUTERS; LEARNING SYSTEMS; LIGHTING; MATHEMATICAL MORPHOLOGY;

EXPERIMENTS;

CITRUS;

EID: 70350298950     PISSN: 08838542     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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