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Volumn , Issue , 2015, Pages 238-241

Automatic grape bunch detection in vineyards for precise yield estimation

Author keywords

Bunch Detection; Field Application; Image Processing; Low Cost Computation; Precision Viticulture; Yield Estimation

Indexed keywords

COMPUTER VISION; IMAGE PROCESSING; SUPPORT VECTOR MACHINES; TEXTURES;

EID: 84941208236     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MVA.2015.7153175     Document Type: Conference Paper
Times cited : (8)

References (16)
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    • Christian Correa, Constantino Valero, Pilar Barreiro, J Tardaguila, and MP Diago. A Comparison of Fuzzy Clustering Algorithms Applied to Feature Extraction on Vineyard. Avances en inteligencia artificial, J. Lozano, J. Gomez, and J. Moreno, Eds, 1(1), 2011.
    • (2011) Avances en Inteligencia Artificial
    • Correa, C.1    Valero, C.2    Barreiro, P.3    Tardaguila, J.4    Diago, M.P.5
  • 3
    • 84941221869 scopus 로고    scopus 로고
    • Technical Report HYG-1434-11, The Ohio State University
    • I Dami and P Sabbatini. Crop Estimation of Grapes. Technical Report HYG-1434-11, The Ohio State University, 2011.
    • (2011) Crop Estimation of Grapes
    • Dami, I.1    Sabbatini, P.2
  • 5
    • 84871686486 scopus 로고    scopus 로고
    • Grapevine yield and leaf area estimation using supervised classification methodology on RGB images taken under field conditions
    • MP Diago, C Correa, BMillán, and P Barreiro. Grapevine yield and leaf area estimation using supervised classification methodology on RGB images taken under field conditions. Sensors, 12(12):16988-17006., 2012.
    • (2012) Sensors , vol.12 , Issue.12 , pp. 16988-17006
    • Diago, M.P.1    Correa, C.2    Bmillán3    Barreiro, P.4
  • 12
    • 84897696341 scopus 로고    scopus 로고
    • Modeling and calibrating visual yield estimates in vineyards
    • Stephen Nuske, Kamal Gupta, Srinivasa Narasimhan, and Sanjiv Singh. Modeling and Calibrating Visual Yield Estimates in Vineyards. Field and Service Robotics, pages 343-356, 2014.
    • (2014) Field and Service Robotics , pp. 343-356
    • Nuske, S.1    Gupta, K.2    Narasimhan, S.3    Singh, S.4
  • 13
    • 49349108623 scopus 로고
    • A threshold selection method from gray-level histograms
    • Nobuyuki Otsu. A threshold selection method from gray-level histograms. Automatica, 11(285-296):23-27, 1975.
    • (1975) Automatica , vol.11 , Issue.285-296 , pp. 23-27
    • Otsu, N.1
  • 14
    • 0141990695 scopus 로고    scopus 로고
    • Theoretical and empirical analysis of ReliefF and RReliefF
    • Marko Robnik-Šikonja and Igor Kononenko. Theoretical and empirical analysis of ReliefF and RReliefF. Machine learning, 53(1-2):23-69, 2003.
    • (2003) Machine Learning , vol.53 , Issue.1-2 , pp. 23-69
    • Marko, R.-S.1    Kononenko, I.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.