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Volumn 2016-June, Issue , 2016, Pages 5157-5163

An effective classification system for separating sugar beets and weeds for precision farming applications

Author keywords

[No Author keywords available]

Indexed keywords

AGRICULTURE; CROPS; DECISION TREES; FEATURE EXTRACTION; MARKOV PROCESSES; ROBOTICS; ROBOTS;

EID: 84977512936     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICRA.2016.7487720     Document Type: Conference Paper
Times cited : (88)

References (19)
  • 2
    • 0003085070 scopus 로고    scopus 로고
    • Crop-weed discrimination by line imaging spectroscopy
    • T. Borregaard, H. Nielsen, L. Norgaard, and H. Have. Crop-weed discrimination by line imaging spectroscopy. J. Agric. Eng. Res., 72 (4): 389-400, 2000.
    • (2000) J. Agric. Eng. Res. , vol.72 , Issue.4 , pp. 389-400
    • Borregaard, T.1    Nielsen, H.2    Norgaard, L.3    Have, H.4
  • 3
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • L. Breiman. Random forests. Machine Learning, 45 (1): 5-32, 2001.
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 7
    • 0035338110 scopus 로고    scopus 로고
    • Multi-spectral vision system for weed detection
    • F. Feyaerts and L. van Gool. Multi-spectral vision system for weed detection. Pattern Recognit. Lett., 22: 667-674, 2001.
    • (2001) Pattern Recognit. Lett. , vol.22 , pp. 667-674
    • Feyaerts, F.1    Van Gool, L.2
  • 9
    • 0002811038 scopus 로고    scopus 로고
    • Computer-vision-based weed identification under field conditions using controlled lighting
    • J. Hemming and T. Rath. Computer-vision-based weed identification under field conditions using controlled lighting. Journal of Agricultural Engineering Research, 78 (3): 233-243, 2001.
    • (2001) Journal of Agricultural Engineering Research , vol.78 , Issue.3 , pp. 233-243
    • Hemming, J.1    Rath, T.2
  • 13
    • 0033101072 scopus 로고    scopus 로고
    • Unsupervised texture segmentation using feature distributions
    • T. Ojala and M. Pietikinen. Unsupervised texture segmentation using feature distributions. Pattern Recognition, (32): 477-486, 1999.
    • (1999) Pattern Recognition , Issue.32 , pp. 477-486
    • Ojala, T.1    Pietikinen, M.2
  • 18
    • 34848827405 scopus 로고    scopus 로고
    • A vision-based method for weeds identification through the Bayesian decision theory
    • A. Tellaeche, X. P. Burgos-Artizzu, G. Pajares, and A. Ribeiro. A vision-based method for weeds identification through the Bayesian decision theory. Pattern Recognition, 41 (2): 521-530, 2008.
    • (2008) Pattern Recognition , vol.41 , Issue.2 , pp. 521-530
    • Tellaeche, A.1    Burgos-Artizzu, X.P.2    Pajares, G.3    Ribeiro, A.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.