A novel computer vision-based approach to automatic detection and severity assessment of crop diseases

Proceedings of the 2015 Science and Information Conference, SAI 2015

Volumn , Issue , 2015, Pages 638-644

  Han, Liangxiu ^a   Haleem, Muhammad Salman ^a   Taylor, Moray ^b  

^a MANCHESTER METROPOLITAN UNIVERSITY   (United Kingdom)

^b FOOD AND ENVIRONMENT RESEARCH AGENCY   (United Kingdom)

Author keywords

Computer vision; crop disease; image processing; machine learning pattern recognition

Indexed keywords

AGRICULTURE; ARTIFICIAL INTELLIGENCE; CROPS; FOOD SUPPLY; IMAGE PROCESSING; LEARNING SYSTEMS;

AUTOMATIC DETECTION; CROP DISEASE; DETECTION AND IDENTIFICATIONS; DISEASE SEVERITY; FEATURE ANALYSIS; MARKER-CONTROLLED WATERSHED SEGMENTATION; SUSTAINABLE AGRICULTURE; VISION-BASED APPROACHES;

COMPUTER VISION;

EID: 84957828156     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SAI.2015.7237209     Document Type: Conference Paper

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