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Volumn 9094, Issue , 2015, Pages 252-262

An experimental comparison for the identification of weeds in sunflower crops via unmanned aerial vehicles and object-based analysis

Author keywords

Image segmentation; Object based analysis; Support vector machines; Unmanned Aerial vehicles; Weed mapping

Indexed keywords

AIRCRAFT CONTROL; AMPHIBIOUS VEHICLES; ARTIFICIAL INTELLIGENCE; CROPS; IMAGE SEGMENTATION; LEARNING SYSTEMS; MAPPING; NEURAL NETWORKS; REMOTE SENSING; SUPPORT VECTOR MACHINES; UNMANNED AERIAL VEHICLES (UAV); VEHICLES;

EID: 84937420368     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-19258-1_22     Document Type: Conference Paper
Times cited : (9)

References (19)
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    • Evaluation of pixel-and object-based approaches for mapping wild oat (Avena sterilis) weed patches in wheat fields using quickbird imagery for site-specific management
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    • Castillejo-González, I.L.1    Peña, J.M.2    Jurado-Expósito, M.3    Mesas-Carrascosa, F.J.4    López-Granados, F.5
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    • Configuration and specifications of an unmanned aerial vehicle (Uav) for early site specific weed management
    • Torres-SÁnchez, J., López-Granados, F., De Castro, A.I., Peña, J.M.: Configuration and specifications of an unmanned aerial vehicle (uav) for early site specific weed management. PLoS One 8(3), e58210 (2013)
    • (2013) Plos One , vol.8 , Issue.3 , pp. 58210
    • Torres-Sánchez, J.1    López-Granados, F.2    De Castro, A.I.3    Peña, J.M.4
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.