Automatic crop detection under field conditions using the HSV colour space and morphological operations

Computers and Electronics in Agriculture

Volumn 133, Issue , 2017, Pages 97-107

  Hamuda, Esmael ^a   Mc Ginley, Brian ^a   Glavin, Martin ^a   Jones, Edward ^a  

^a NATIONAL UNIVERSITY OF IRELAND   (Ireland)

Author keywords

Crop detection; HSV colour space; Morphological; Natural illumination

Indexed keywords

COLOR; COMPUTER VISION; DAMAGE DETECTION; EROSION; IMAGE SEGMENTATION; MATHEMATICAL MORPHOLOGY; METHOD OF MOMENTS;

COMPUTER VISION TECHNIQUES; HSV COLOUR SPACE; MANUAL ANNOTATION; MORPHOLOGICAL; MORPHOLOGICAL EROSION; MORPHOLOGICAL OPERATIONS; NATURAL ILLUMINATION; THE REGION OF INTEREST (ROI);

CROPS;

ALGORITHM; AUTOMATION; COLOR; COMPUTER VISION; DETECTION METHOD; IMAGE ANALYSIS; MORPHOLOGY; VEGETABLE; VIDEOGRAPHY;

BRASSICA OLERACEA VAR. BOTRYTIS; SIMPLEXVIRUS;

EID: 85008217141     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2016.11.021     Document Type: Article

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