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Volumn , Issue , 2006, Pages 116-119

Comparison of neural network and maximum likelihood high resolution image classification for weed detection in crops: Applications in precision agriculture

Author keywords

[No Author keywords available]

Indexed keywords

CROPS; CULTIVATION; HERBICIDES; IMAGE CLASSIFICATION; IMAGE RESOLUTION; MAXIMUM LIKELIHOOD; WEED CONTROL;

EID: 34948847553     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2006.35     Document Type: Conference Paper
Times cited : (17)

References (13)
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  • 2
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    • P.Robert, R.H. Rust, and W.E. Larson,Eds, Madison, WI, ASA, CSSA, SSSA
    • D.A. Mortensen, G.A. Johnson, D.Y. Wyse, and A.R. Martin, "Managing spatially variable weed populations," in Site-Specific Management for Agricultural Systems, P.Robert, R.H. Rust, and W.E. Larson,Eds, Madison, WI. : ASA, CSSA, SSSA, 1995, pp. 398-415.
    • (1995) Site-Specific Management for Agricultural Systems , pp. 398-415
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  • 5
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    • Potential for automatic weed detection and selective herbicide application
    • August
    • J.F. Thompson, J.V. Stafford, and P.C.H. Miller, "Potential for automatic weed detection and selective herbicide application," Crop Protection, vol. 10, pp.254-259, August 1991.
    • (1991) Crop Protection , vol.10 , pp. 254-259
    • Thompson, J.F.1    Stafford, J.V.2    Miller, P.C.H.3
  • 6
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    • Evaluating the accuracy of mapping weeds in fallow fields using airborne digital imaging: Panicum effusum in oilseed rape stubble
    • Dec
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    • Lamb, D.W.1    Weedon, M.M.2
  • 7
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    • Nov
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    • (1995) Transactions of the ASAE , vol.38 , pp. 1659-1666
    • Brown, R.B.1    Steckler, J.-P.G.A.2
  • 8
    • 0027224897 scopus 로고
    • Weed patch identification in no till corn using digital imagery
    • Jan
    • R.B. Brown, and J.-P.G.A Steckler, "Weed patch identification in no till corn using digital imagery," Canadian Journal of Remote Sensing, vol. 19, pp. 88-91, Jan. 1993.
    • (1993) Canadian Journal of Remote Sensing , vol.19 , pp. 88-91
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  • 9
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    • Remote sensing for identification of weeds in no-till corn
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    • R.B. Brown, J.-P.G.A Steckler, and G.W. Anderson, "Remote sensing for identification of weeds in no-till corn," Transactions of the ASAE, vol. 37, pp. 297-302, Jan. 1994.
    • (1994) Transactions of the ASAE , vol.37 , pp. 297-302
    • Brown, R.B.1    Steckler, J.-P.G.A.2    Anderson, G.W.3
  • 10
    • 3342897624 scopus 로고    scopus 로고
    • Discrimination of sunflower, weed and soil by artificial neural networks
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    • I. Kavdir, "Discrimination of sunflower, weed and soil by artificial neural networks," Computers and Electronics in Agriculture, vol. 44, pp. 153-160, Mar. 2004.
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    • Kavdir, I.1
  • 11
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    • C.-C. Yang, S.O. Prasher, J.-A. Landry, H.S. Ramaswamy, and A. Ditommaso, "Application of artificial neural networks in image recognition and classification of crop and weeds," Canadian Agricultural Engineering, vol. 43, pp. 147-152, Jul. 2000.
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  • 12
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  • 13
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    • C.S.T Daughtry, C.L. Walthall, M.S. Kim, E. Brown de Colstoun, and J.E.III. McMurtry, Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance, Remote Sensing of Environment, 74, pp. 229-239, 2000.
    • C.S.T Daughtry, C.L. Walthall, M.S. Kim, E. Brown de Colstoun, and J.E.III. McMurtry, "Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance," Remote Sensing of Environment, vol. 74, pp. 229-239, 2000.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.