UAV-based remote sensing technique to detect citrus canker disease utilizing hyperspectral imaging and machine learning

Remote Sensing

Volumn 11, Issue 11, 2019, Pages

  Abdulridha, Jaafar ^a   Batuman, Ozgur ^a   Ampatzidis, Yiannis ^a  

^a UNIVERSITY OF FLORIDA   (United States)

Author keywords

Canker; Citrus; Disease detection; Hyperspectral imaging; Neural networks; Vegetation indices

Indexed keywords

ANTENNAS; CITRUS FRUITS; FORESTRY; IMAGING SYSTEMS; MACHINE LEARNING; NEAREST NEIGHBOR SEARCH; NEURAL NETWORKS; ORCHARDS; RADIAL BASIS FUNCTION NETWORKS; REMOTE SENSING; SPECTROSCOPY; UNMANNED AERIAL VEHICLES (UAV); VEGETATION; WATER ABSORPTION;

CANKER; CITRUS; CLASSIFICATION ACCURACY; DISEASE DETECTION; K NEAREST NEIGHBOR (KNN); RADIAL BASIS FUNCTION(RBF); REMOTE SENSING TECHNIQUES; VEGETATION INDEX;

HYPERSPECTRAL IMAGING;

EID: 85067414830     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs11111373     Document Type: Article

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