A comparative study on application of computer vision and fluorescence imaging spectroscopy for detection of Huanglongbing citrus disease in the Usa and Brazil

Journal of Spectroscopy

Volumn 1, Issue 1, 2013, Pages

  Wetterich, Caio B ^a   Kumar, Ratnesh ^b   Sankaran, Sindhuja ^b   Belasque Junior, José ^c   Ehsani, Reza ^b   Marcassa, Luis G ^a  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

^b UNIVERSITY OF FLORIDA   (United States)

^c Departamento Científico Fundecitrus   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ACCURACY; CLASSIFICATION RESULTS; CO-OCCURRENCE-MATRIX; COMPARATIVE STUDIES; FLUORESCENCE IMAGE; FLUORESCENCE IMAGING; FLUORESCENCE INTENSITIES; MACHINE LEARNING TECHNIQUES;

SUPPORT VECTOR MACHINES;

FLUORESCENCE;

ARTICLE; BRAZIL; COMPUTER ANALYSIS; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; FALSE NEGATIVE RESULT; FALSE POSITIVE RESULT; FLUORESCENCE ANALYSIS; FLUORESCENCE IMAGING; FLUORESCENCE IMAGING SPECTROSCOPY; IMAGE ANALYSIS; INTERMETHOD COMPARISON; MACHINE LEARNING; NONHUMAN; PLANT DISEASE; PLANT LEAF; RECEIVER OPERATING CHARACTERISTIC; SUPPORT VECTOR MACHINE; UNITED STATES;

EID: 84876904810     PISSN: 23144920     EISSN: 23144939     Source Type: Journal    
DOI: 10.1155/2013/841738     Document Type: Article

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