High throughput phenotyping of tomato spot wilt disease in peanuts using unmanned aerial systems and multispectral imaging

IEEE Instrumentation and Measurement Magazine

Volumn 20, Issue 3, 2017, Pages 4-12

  Patrick, Aaron ^a   Pelham, Sara ^a   Culbreath, Albert ^a   Corely Holbrook, C ^b   De Godoy, Ignacio Jose ^c   Li, Changying ^d  

^a UNIVERSITY OF GEORGIA   (United States)

^b AGRICULTURAL RESEARCH SERVICE   (United States)

^c INSTITUTO AGRONÔMICO   (Brazil)

^d University of Georgia   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FRUITS; PIXELS; THROUGHPUT; VEGETATION;

DISEASE RESISTANCE; HIGH-THROUGHPUT PHENOTYPING; MULTISPECTRAL IMAGES; MULTISPECTRAL IMAGING; PIXEL DISTRIBUTION; RELATIVE RESISTANCE; UNMANNED AERIAL SYSTEMS; VISIBLE AND NEAR INFRARED;

IMAGE PROCESSING;

EID: 85021369966     PISSN: 10946969     EISSN: None     Source Type: Journal    
DOI: 10.1109/MIM.2017.7951684     Document Type: Article

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