Ripe tomato detection for robotic vision harvesting systems in greenhouses

Transactions of the ASABE

Volumn 54, Issue 4, 2011, Pages 1539-1546

  Yin, H ^a   Chai, Y ^a   Yang, S X ^b   Mittal, G S ^b  

^a CHONGQING UNIVERSITY   (China)

^b UNIVERSITY OF GUELPH   (Canada)

Author keywords

Harvesting robots; Image processing; K means clustering; Ripe tomato detection; Shape detection

Indexed keywords

COLOR FEATURES; COMPLEX BACKGROUND; COMPLEX CLUSTERS; DE-NOISE; DETECTION APPROACH; DETECTION RATES; HARVESTING ROBOT; HARVESTING SYSTEM; K-MEANS CLUSTERING; RIPE TOMATO DETECTION; ROBOTIC VISION; SHAPE DETECTION; SHAPE FEATURES;

ALGORITHMS; COLOR; COLOR IMAGE PROCESSING; COMPUTER VISION; GREENHOUSES; HARVESTING; MATHEMATICAL MORPHOLOGY; ROBOTICS; ROBOTS;

FRUITS;

ACCURACY ASSESSMENT; ALGORITHM; CLUSTER ANALYSIS; COLOR; EXPERIMENTAL STUDY; FRUIT; GREENHOUSE ECOSYSTEM; HARVESTING; IMAGE PROCESSING; MORPHOLOGY; NUMERICAL MODEL; RIPENING;

LYCOPERSICON ESCULENTUM;

EID: 80052434930     PISSN: 21510032     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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