Visible-near infrared spectroscopy for detection of Huanglongbing in citrus orchards

Computers and Electronics in Agriculture

Volumn 77, Issue 2, 2011, Pages 127-134

  Sankaran, Sindhuja ^a   Mishra, Ashish ^a   Maja, Joe Mari ^a   Ehsani, Reza ^a  

^a UNIVERSITY OF FLORIDA   (United States)

Author keywords

Citrus; Huanglongbing; Pattern recognition algorithms; Visible near infrared spectroscopy

Indexed keywords

CITRUS; CITRUS TREE; CLASSIFICATION ACCURACY; CLASSIFICATION ALGORITHM; DATA PREPROCESSING; DATA SETS; FALSE NEGATIVES; FIRST DERIVATIVE; HUANGLONGBING; IN-FIELD; K-NEAREST NEIGHBORS; LINEAR DISCRIMINANT ANALYSIS; NUMBER OF SAMPLES; PATTERN RECOGNITION ALGORITHMS; PRINCIPAL COMPONENTS; QUADRATIC DISCRIMINANT ANALYSIS; SECOND DERIVATIVES; SPECTRAL DATA; SPECTRAL FEATURE; SPECTRAL REFLECTANCES; SPECTRO-RADIOMETERS; TRAINING AND TESTING; VISIBLE-NEAR INFRARED SPECTROSCOPY; WAVELENGTH RANGES;

ALGORITHMS; DISCRIMINANT ANALYSIS; FEATURE EXTRACTION; INFRARED DEVICES; NEAR INFRARED SPECTROSCOPY; ORCHARDS; SPECTRUM ANALYSIS; STATISTICAL TESTS;

PRINCIPAL COMPONENT ANALYSIS;

ALGORITHM; BACTERIAL DISEASE; DATA SET; FRUIT; NEAR INFRARED; ORCHARD; PRINCIPAL COMPONENT ANALYSIS; SPECTRAL REFLECTANCE; VISIBLE SPECTRUM; WAVELENGTH;

CITRUS;

EID: 79959687790     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2011.03.004     Document Type: Article

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