Automated detection and segmentation of vine rows using high resolution UAS imagery in a commercial vineyard

Proceedings - 21st International Congress on Modelling and Simulation, MODSIM 2015

Volumn , Issue , 2015, Pages 1406-1412

  Nolan, A P ^a   Park, S ^a   O'Connell, M ^b   Fuentes, S ^c   Ryu, D ^a   Chung, H ^d  

^a UNIVERSITY OF MELBOURNE   (Australia)

^b Transport and Resources ^*  (Australia)

^c UNIVERSITY OF MELBOURNE   (Australia)

^d MONASH UNIVERSITY   (Australia)

Author keywords

Image processing; Photogrammetry; Precision viticulture

Indexed keywords

AGRICULTURE; ANTENNAS; AUTOMATION; CLIMATE MODELS; IMAGE PROCESSING; IMAGE SEGMENTATION; OPERATIONS RESEARCH; PHOTOGRAMMETRY; PIXELS; REMOTE SENSING; TEXTURES; UNMANNED AERIAL VEHICLES (UAV);

AUTOMATED ALGORITHMS; BIOPHYSICAL PARAMETERS; HIGH-QUALITY GRAPES; PRECISION VITICULTURE; REMOTE SENSING DATA; SPATIAL INFORMATIONS; UNMANNED AERIAL SYSTEMS; UNSUPERVISED DETECTION;

IMAGE TEXTURE;

EID: 85080916754     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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