Using Boruta-selected spectroscopic wavebands for the asymptomatic detection of fusarium circinatum stress

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 7, Issue 9, 2014, Pages 3764-3772

  Poona, Nitesh K ^a   Ismail, Riyad ^b  

^a STELLENBOSCH UNIVERSITY   (South Africa)

^b UNIVERSITY OF KWAZULU NATAL   (South Africa)

Author keywords

Boruta; feature selection; hyperspectral; random forest (RF); remote sensing

Indexed keywords

REMOTE SENSING;

BORUTA; FUSARIUM; HYPERSPECTRAL; RANDOM FORESTS; WAVEBANDS;

FEATURE EXTRACTION;

ALGORITHM; ENVIRONMENTAL STRESS; FUNGUS; IMAGE RESOLUTION; REMOTE SENSING; SEEDLING; SPECTRAL ANALYSIS;

GIBBERELLA CIRCINATA;

EID: 84910048992     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2014.2329763     Document Type: Article

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