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Volumn 6, Issue 2, 2013, Pages

Estimation of cotton yield with varied irrigation and nitrogen treatments using aerial multispectral imagery

Author keywords

Cotton; Irrigation; Multispectral imagery; Nitrogen; Remote sensing; Yield

Indexed keywords

ANTENNAS; COST EFFECTIVENESS; COTTON; IRRIGATION; NITROGEN; VEGETATION; WATER MANAGEMENT;

EID: 84879128773     PISSN: 19346344     EISSN: 19346352     Source Type: Journal    
DOI: 10.3965/j.ijabe.20130602.005     Document Type: Article
Times cited : (28)

References (8)
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    • Ajayi A E, Olufayo A A. Evaluation of two temperature stress indices to estimate grain sorghum yield and evapotranspiration. Agronomy Journal, 2004; 96: 1282-1287.
    • (2004) Agronomy Journal , vol.96 , pp. 1282-1287
    • Ajayi, A.E.1    Olufayo, A.A.2
  • 3
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    • 33644872035 scopus 로고    scopus 로고
    • Comparison of QuickBird satellite imagery and airborne imagery for mapping grain sorghum yield patterns
    • Yang C, Everitt J H, Bradford J M. Comparison of QuickBird satellite imagery and airborne imagery for mapping grain sorghum yield patterns. Precision Agriculture, 2006; 7: 33-44.
    • (2006) Precision Agriculture , vol.7 , pp. 33-44
    • Yang, C.1    Everitt, J.H.2    Bradford, J.M.3
  • 5
    • 33845638697 scopus 로고    scopus 로고
    • Evaluating high resolution QuickBird satellite imagery for estimating cotton yield
    • Yang C, Everitt J H, Bradford J M. Evaluating high resolution QuickBird satellite imagery for estimating cotton yield. Transactions of the ASAE, 2006; 49(5): 1599-1606.
    • (2006) Transactions of the ASAE , vol.49 , Issue.5 , pp. 1599-1606
    • Yang, C.1    Everitt, J.H.2    Bradford, J.M.3
  • 7
    • 33748907362 scopus 로고    scopus 로고
    • Airborne remote sensing to detect plant water stress in full canopy cotton
    • Detar W R, Penner J V, Funk H A. Airborne remote sensing to detect plant water stress in full canopy cotton. Transactions of the ASABE, 2006; 49(3): 655-665.
    • (2006) Transactions of the ASABE , vol.49 , Issue.3 , pp. 655-665
    • Detar, W.R.1    Penner, J.V.2    Funk, H.A.3
  • 8
    • 80051774000 scopus 로고    scopus 로고
    • Application of vegetation indices for agricultural crop yield prediction using neural network techniques
    • Panda S S, Ames D P, Panigrahi P. Application of vegetation indices for agricultural crop yield prediction using neural network techniques. Remote Sensing, 2010; 2: 673-696.
    • (2010) Remote Sensing , vol.2 , pp. 673-696
    • Panda, S.S.1    Ames, D.P.2    Panigrahi, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.