Supervised classification of RGB Aerial imagery to evaluate the impact of a root rot disease

Remote Sensing

Volumn 10, Issue 6, 2018, Pages

  Mattupalli, Chakradhar ^a   Moffet, Corey A ^b   Shah, Kushendra N ^a   Young, Carolyn A ^a  

^a NOBLE RESEARCH INSTITUTE   (United States)

^b AGRICULTURAL RESEARCH SERVICE   (United States)

Author keywords

Cotton root rot; Disease monitoring; Phymatotrichopsis omnivora; Soil borne fungus

Indexed keywords

AERIAL PHOTOGRAPHY; ANTENNAS; COLOR; CROPS; FIGHTER AIRCRAFT; IMAGE ACQUISITION; PLANTS (BOTANY); SUPERVISED LEARNING; UNMANNED AERIAL VEHICLES (UAV);

CLASSIFICATION ACCURACY; COLOR SPACE TRANSFORMATION; COTTON ROOT ROT; DISEASE MONITORING; PHYMATOTRICHOPSIS OMNIVORA; SOILBORNE FUNGUS; SUPERVISED CLASSIFICATION; UNMANNED AIRCRAFT SYSTEM;

IMAGE CLASSIFICATION;

EID: 85048964652     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs10060917     Document Type: Article

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