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Volumn 12, Issue 4, 2011, Pages 519-533

Selection of ancillary data to derive production management units in sweet corn (Zea Mays var. rugosa) using MANOVA and an information criterion

Author keywords

Akaike information criterion (AIC); Apparent soil electrical conductivity (ECa); Canopy sensors; Cob diameter; k Means clustering; Plant density; Precision horticulture; Yield

Indexed keywords

AGRICULTURAL MANAGEMENT; AKAIKE INFORMATION CRITERION; CLUSTER ANALYSIS; CROP PRODUCTION; CROP YIELD; DIAMETER; ELECTRICAL CONDUCTIVITY; HORTICULTURE; IMAGE RESOLUTION; MAIZE; MULTIVARIATE ANALYSIS; SENSOR;

EID: 79960063938     PISSN: 13852256     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11119-010-9195-0     Document Type: Article
Times cited : (10)

References (31)
  • 2
    • 0000501656 scopus 로고
    • Information theory and an extension of the maximum likelihood principle
    • B. N. Petrov and F. Csaki (Eds.), Budapest, Hungary: Akademiai Kiado
    • Akaike, H. (1973). Information theory and an extension of the maximum likelihood principle. In B. N. Petrov & F. Csaki (Eds.), Second international symposium on information theory (pp. 267-281). Budapest, Hungary: Akademiai Kiado.
    • (1973) Second International Symposium on Information Theory , pp. 267-281
    • Akaike, H.1
  • 3
    • 0007495687 scopus 로고    scopus 로고
    • Identification and stability of potential within-field yield zones obtained from 11 years of cotton yield estimates derived from mid-season Landsat MS imagery
    • Sheffield, England: Sheffield Academic Press In J. V. Stafford (Ed.)
    • Boydell, B. C., & McBratney, A. B. (1999). Identification and stability of potential within-field yield zones obtained from 11 years of cotton yield estimates derived from mid-season Landsat MS imagery. In J. V. Stafford (Ed.) Precision Agriculture '99: Proceedings of the 2nd ECPA (pp. 331-342). Sheffield, England: Sheffield Academic Press.
    • (1999) Precision Agriculture '99: Proceedings of the 2nd ECPA , pp. 331-342
    • Boydell, B.C.1    McBratney, A.B.2
  • 4
    • 84856608569 scopus 로고    scopus 로고
    • Improved spatial mapping of leaf area index using hyperspectral remote sensing for hydrological applications with a particular focus on canopy interception
    • Bulcock, H. H., & Jewitt, G. P. W. (2009). Improved spatial mapping of leaf area index using hyperspectral remote sensing for hydrological applications with a particular focus on canopy interception. Hydrology and Earth Systems Sciences Discussions, 6, 5783-5809.
    • (2009) Hydrology and Earth Systems Sciences Discussions , vol.6 , pp. 5783-5809
    • Bulcock, H.H.1    Jewitt, G.P.W.2
  • 5
    • 85045133686 scopus 로고    scopus 로고
    • Delineation of site-specific management zones using geostatistics and fuzzy clustering analysis
    • Wageningen, The Netherlands: Wageningen Academic Publishers In E. J. van Henton, D. Goense, & C. Lokhorst (Eds.)
    • Castrignano, A., Guastaferro, F., De Benedetto, D., Moneta, A., Basso, B., Troccoli, A., et al. (2009). Delineation of site-specific management zones using geostatistics and fuzzy clustering analysis. In E. J. van Henton, D. Goense, & C. Lokhorst (Eds.), Precision Agriculture '09: Proceedings of the 7thECPA (pp. 537-544). Wageningen, The Netherlands: Wageningen Academic Publishers.
    • (2009) Precision Agriculture '09: Proceedings of the 7thECPA , pp. 537-544
    • Castrignano, A.1    Guastaferro, F.2    De Benedetto, D.3    Moneta, A.4    Basso, B.5    Troccoli, A.6
  • 6
    • 36749096303 scopus 로고    scopus 로고
    • Soil management zone determination by yield stability analysis and classification
    • Cox, M. S., & Gerard, P. D. (2007). Soil management zone determination by yield stability analysis and classification. Agronomy Journal, 99, 1357-1365.
    • (2007) Agronomy Journal , vol.99 , pp. 1357-1365
    • Cox, M.S.1    Gerard, P.D.2
  • 7
    • 0038151523 scopus 로고    scopus 로고
    • Determining potential within-field crop management zones
    • Montpellier, France: agro-Montpellier ENSAM In G. Grenier & S. Blackmore (Eds.)
    • Cupitt, J., & Whelan, B. M. (2001). Determining potential within-field crop management zones. In G. Grenier & S. Blackmore (Eds.), Proceedings of the 3rdEuropean conference on precision agriculture (pp. 7-12). Montpellier, France: agro-Montpellier ENSAM.
    • (2001) Proceedings of the 3rdEuropean conference on precision agriculture , pp. 7-12
    • Cupitt, J.1    Whelan, B.M.2
  • 10
    • 13844314523 scopus 로고    scopus 로고
    • Soil properties influencing apparent electrical conductivity: A review
    • Friedman, S. P. (2005). Soil properties influencing apparent electrical conductivity: A review. Computers and Electronics in Agriculture, 46, 45-70.
    • (2005) Computers and Electronics in Agriculture , vol.46 , pp. 45-70
    • Friedman, S.P.1
  • 11
    • 33847713407 scopus 로고    scopus 로고
    • Identifying management zones in agricultural fields using spatially constrained classification of soil and ancillary data
    • Frogbrook, Z. L., & Oliver, M. A. (2007). Identifying management zones in agricultural fields using spatially constrained classification of soil and ancillary data. Soil Use and Management, 23, 40-51.
    • (2007) Soil Use and Management , vol.23 , pp. 40-51
    • Frogbrook, Z.L.1    Oliver, M.A.2
  • 12
    • 70349119250 scopus 로고
    • Regression and time series model selection in small samples
    • Hurvich, C. M., & Tsai, C.-L. (1989). Regression and time series model selection in small samples. Biometrika, 76, 297-307.
    • (1989) Biometrika , vol.76 , pp. 297-307
    • Hurvich, C.M.1    Tsai, C.-L.2
  • 13
    • 0035095155 scopus 로고    scopus 로고
    • Some tools for parsimonious modelling and interpretation of within-field variation of soil and crop systems
    • Lark, R. M. (2001). Some tools for parsimonious modelling and interpretation of within-field variation of soil and crop systems. Soil Tillage Research, 58, 99-111.
    • (2001) Soil Tillage Research , vol.58 , pp. 99-111
    • Lark, R.M.1
  • 14
    • 0030966482 scopus 로고    scopus 로고
    • Classification as a first step in the interpretation of temporal and spatial variability of crop yield
    • Lark, R. M., & Stafford, J. V. (1997). Classification as a first step in the interpretation of temporal and spatial variability of crop yield. Annals of Applied Biology, 130, 111-121.
    • (1997) Annals of Applied Biology , vol.130 , pp. 111-121
    • Lark, R.M.1    Stafford, J.V.2
  • 20
    • 34548394614 scopus 로고    scopus 로고
    • Accessed September 10, 2010, from, version 1. 62. Sydney: Australian Centre for Precision Agriculture
    • Minasny, B., McBratney, A. B., & Whelan, B. M. (2005). VESPER version 1. 62. Sydney: Australian Centre for Precision Agriculture. Accessed September 10, 2010, from http://www. usyd. edu. au/agriculture/acpa/software/vesper. shtml.
    • (2005) VESPER
    • Minasny, B.1    McBratney, A.B.2    Whelan, B.M.3
  • 22
    • 21244482135 scopus 로고    scopus 로고
    • Delineating potential management zones for cotton based on yields and soil properties
    • Ping, J. L., Green, C. J., Bronson, K. F., Zartman, R. E., & Dobermann, A. (2005). Delineating potential management zones for cotton based on yields and soil properties. Soil Science, 170, 371-385.
    • (2005) Soil Science , vol.170 , pp. 371-385
    • Ping, J.L.1    Green, C.J.2    Bronson, K.F.3    Zartman, R.E.4    Dobermann, A.5
  • 23
    • 84907095419 scopus 로고    scopus 로고
    • R: A language and environment for statistical computing
    • Vienna, Austria. ISBN 3-900051-07-0, URL R Development Core Team
    • R Development Core Team. (2008). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL: http://www. R-project. org.
    • (2008) R Foundation for Statistical Computing
  • 26
    • 79960037071 scopus 로고    scopus 로고
    • How long should your corn cob pipe be? Modeling yield*quality interactions in Sweet corn
    • Wageningen, The Netherlands: Wageningen Academic Publishers In A. Bregt, S. Wolfert, J. E. Wien, & C. Lokhorst (Eds.)
    • Taylor, J. A., Hedges, S., & Whelan, B. M. (2009). How long should your corn cob pipe be? Modeling yield*quality interactions in Sweet corn. In A. Bregt, S. Wolfert, J. E. Wien, & C. Lokhorst (Eds.), EFITAconference '09: Proceedings of the 7thEFITA conference (pp. 411-417). Wageningen, The Netherlands: Wageningen Academic Publishers.
    • (2009) EFITAconference '09: Proceedings of the 7thEFITA conference , pp. 411-417
    • Taylor, J.A.1    Hedges, S.2    Whelan, B.M.3
  • 27
    • 78649537927 scopus 로고    scopus 로고
    • A short communication on the spatial variability of production in sweet corn (Zea mays var. rugosa)
    • Taylor, J. A., Hedges, S., & Whelan, B. M. (2010). A short communication on the spatial variability of production in sweet corn (Zea mays var. rugosa). New Zealand Journal of Crop and Hortiulture Science, 38, 225-231.
    • (2010) New Zealand Journal of Crop and Hortiulture Science , vol.38 , pp. 225-231
    • Taylor, J.A.1    Hedges, S.2    Whelan, B.M.3
  • 28
    • 36749085421 scopus 로고    scopus 로고
    • Establishing management classes for broadacre grain production
    • Taylor, J. A., McBratney, A. B., & Whelan, B. M. (2007a). Establishing management classes for broadacre grain production. Agronomy Journal, 99, 1366-1376.
    • (2007) Agronomy Journal , vol.99 , pp. 1366-1376
    • Taylor, J.A.1    McBratney, A.B.2    Whelan, B.M.3
  • 29
    • 79960060824 scopus 로고    scopus 로고
    • Within-orchard spatial variability in kiwifruit quality and implications for fruit quality sampling
    • Taylor, J. A., Praat, J.-P., & Bollen, A. F. (2007b). Within-orchard spatial variability in kiwifruit quality and implications for fruit quality sampling. HortScience, 42, 1-5.
    • (2007) HortScience , vol.42 , pp. 1-5
    • Taylor, J.A.1    Praat, J.-P.2    Bollen, A.F.3
  • 30
    • 0018465733 scopus 로고
    • Red and photographic infrared linear combinations for monitoring vegetation
    • Tucker, C. J. (1979). Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment, 8, 127-150.
    • (1979) Remote Sensing of Environment , vol.8 , pp. 127-150
    • Tucker, C.J.1


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