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Volumn 29, Issue 8, 2009, Pages 2054-2058
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Detecting the information of cucumber in greenhouse for picking based on NIR image
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Author keywords
Cucumber in greenhouse; Image recognition; Machine vision; NIR image
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Indexed keywords
ACCURACY RATE;
ADAPTIVE TEMPLATE;
CENTRE-LINE LENGTH;
COLOR SEGMENTATION;
COMPLEX ENVIRONMENTS;
CUCUMBER IN GREENHOUSE;
CUCUMBER PLANTS;
GRAY LEVELS;
GREENHOUSE ENVIRONMENT;
HARVESTING ROBOT;
INFRARED REGIONS;
LONG COLUMN;
MACHINE VISION;
MACHINE VISION ALGORITHM;
MORPHOLOGICAL CHARACTERISTIC;
NEAR INFRARED;
NIR IMAGE;
QUALITY FEATURES;
ROBOTIC GRASPING;
SENSITIVE WAVELENGTHS;
SPECTRAL REFLECTANCES;
SUB-BLOCKS;
TARGET INFORMATION;
THRESHOLD METHODS;
COMPUTER VISION;
GREENHOUSES;
HARVESTING;
IMAGE RECOGNITION;
INFRARED DEVICES;
INFRARED IMAGING;
MINING;
ROBOTICS;
ROBOTS;
FRUITS;
AGRICULTURE;
ALGORITHM;
ARTICLE;
COLOR;
CUCUMBER;
FRUIT;
METHODOLOGY;
NEAR INFRARED SPECTROSCOPY;
PLANT LEAF;
ROBOTICS;
AGRICULTURE;
ALGORITHMS;
COLOR;
CUCUMIS SATIVUS;
FRUIT;
PLANT LEAVES;
ROBOTICS;
SPECTROSCOPY, NEAR-INFRARED;
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EID: 68249120156
PISSN: 10000593
EISSN: None
Source Type: Journal
DOI: 10.3964/j.issn.1000-0593(2009)08-2054-04 Document Type: Article |
Times cited : (15)
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References (21)
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