Automatic detection of diseased tomato plants using thermal and stereo visible light images

PLoS ONE

Volumn 10, Issue 4, 2015, Pages

  Raza, Shan E Ahmed ^a   Prince, Gillian ^a   Clarkson, John P ^a   Rajpoot, Nasir M ^a,b  

^a UNIVERSITY OF WARWICK   (United Kingdom)

^b QATAR UNIVERSITY   (Qatar)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ALGORITHM; ARTICLE; AUTOANALYSIS; BLOCK BASED STEREO MATCHING ALGORITHM; CLASSIFICATION; CONTROLLED STUDY; DEPTH ESTIMATION; FUNGUS; FUNGUS TRANSMISSION; GRAPH CUT BASED STEREO MATCHING ALGORITHM; HUMIDITY; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE REGISTRATION; IMAGING; IMAGING AND DISPLAY; MACHINE LEARNING; MULTI RESOLUTION SEMI GLOBAL MATCHING ALGORITHM; MULTI RESOLUTION STEREO MATCHING ALGORITHM; NATURAL TRANSMISSION; NON LOCAL COST AGGREGATION ALGORITHM; NONHUMAN; OIDIUM NEOLYCOPERSICI; POWDERY MILDEW; PREDICTIVE VALUE; SEMI GLOBAL MATCHING ALGORITHM; SENSITIVITY AND SPECIFICITY; STEREO VISIBLE LIGHT IMAGE; TEMPERATURE DEPENDENCE; THERMAL AGING; THERMAL VISIBLE LIGHT IMAGE; TOMATO; VALIDATION PROCESS; ASCOMYCETES; LIGHT; MICROBIOLOGY; PATHOGENICITY; PLANT DISEASE; PLANT LEAF; PROCEDURES; TEMPERATURE;

ERYSIPHALES; FUNGI; LYCOPERSICON ESCULENTUM; OIDIUM NEOLYCOPERSICI;

ALGORITHMS; ASCOMYCOTA; IMAGE PROCESSING, COMPUTER-ASSISTED; LIGHT; LYCOPERSICON ESCULENTUM; PLANT DISEASES; PLANT LEAVES; TEMPERATURE;

EID: 84929485542     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0123262     Document Type: Article

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