Image classification for detection of winter grapevine buds in natural conditions using scale-invariant features transform, bag of features and support vector machines

Computers and Electronics in Agriculture

Volumn 135, Issue , 2017, Pages 81-95

  Pérez, Diego Sebastián ^a,b   Bromberg, Facundo ^a   Diaz, Carlos Ariel ^a  

^a UNIVERSIDAD TECNOLÓGICA NACIONAL   (Argentina)

^b Facultad de Ciencias Naturales e Instituto M Lillo   (Argentina)

Author keywords

Computer vision; Grapevine bud; Image classification; Precision viticulture; Scanning window detection

Indexed keywords

COMPUTER VISION; PIXELS; SCANNING; SIGNAL DETECTION; SUPPORT VECTOR MACHINES;

COMPUTER VISION TECHNOLOGY; EQUIPMENT REQUIREMENTS; GRAPEVINE BUD; NATURAL FIELD CONDITIONS; PRECISION VITICULTURE; SCALE INVARIANT FEATURE TRANSFORMS; SCALE INVARIANT FEATURES; SCANNING WINDOWS;

IMAGE CLASSIFICATION;

ALGORITHM; BUD; COMPUTER SIMULATION; DETECTION METHOD; EQUIPMENT; IMAGE CLASSIFICATION; PRECISION; SUPPORT VECTOR MACHINE; VINE; VITICULTURE; WINTER;

VITACEAE; VITIS;

EID: 85012120056     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2017.01.020     Document Type: Article

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