Machine learning for plant disease incidence and severity measurements from leaf images

Proceedings - 2016 15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016

Volumn , Issue , 2017, Pages 158-163

  Owomugisha, Godliver ^a,c   Mwebaze, Ernest ^b  

^a UNIVERSITY OF GRONINGEN   (Netherlands)

^b MAKERERE UNIVERSITY   (Uganda)

^c BUSITEMA UNIVERSITY   (Uganda)

Author keywords

[No Author keywords available]

Indexed keywords

AGRICULTURE; ARTIFICIAL INTELLIGENCE; DIAGNOSIS;

CLASSIFICATION MODELS; CLASSIFICATION SYSTEM; COMPUTATIONAL POWER; DISEASE INCIDENCE; DISEASE SEVERITY; EXTRACTION METHOD; MACHINE LEARNING TECHNIQUES; REAL-TIME PREDICTION;

LEARNING SYSTEMS;

EID: 85015370997     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2016.126     Document Type: Conference Paper

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