Optimization of management zone delineation by using spatial principal components

Computers and Electronics in Agriculture

Volumn 127, Issue , 2016, Pages 302-310

  Gavioli, Alan ^a,b   de Souza, Eduardo Godoy ^b   Bazzi, Claudio Leones ^a   Guedes, Luciana Pagliosa Carvalho ^b   Schenatto, Kelyn ^a  

^a UNIVERSIDADE TECNOLÓGICA FEDERAL DO PARANÁ   (Brazil)

^b UNIVERSIDADE ESTADUAL DO OESTE DO PARANÁ   (Brazil)

Author keywords

Fuzzy C means; Moran's index; MULTISPATI PCA; PCA; Precision agriculture

Indexed keywords

AGRICULTURE; CLUSTERING ALGORITHMS; COPYING; CROPS; FUZZY CLUSTERING; FUZZY SYSTEMS; MULTIVARIANT ANALYSIS; OPTIMIZATION; SPATIAL VARIABLES MEASUREMENT;

FUZZY C MEAN; FUZZY C-MEANS ALGORITHMS; MORAN'S INDICES; MULTISPATI-PCA; PRECISION AGRICULTURE; PRINCIPAL COMPONENTS; SPATIAL AUTOCORRELATIONS; SPATIAL CORRELATION ANALYSIS;

PRINCIPAL COMPONENT ANALYSIS;

ALGORITHM; CORRELATION; HOMOGENEITY; INDEX METHOD; MAIZE; MULTIVARIATE ANALYSIS; OPTIMIZATION; PRECISION AGRICULTURE; PRINCIPAL COMPONENT ANALYSIS; SOYBEAN; SPATIAL ANALYSIS; YIELD RESPONSE;

BRAZIL; PARANA [BRAZIL];

GLYCINE MAX; ZEA MAYS;

EID: 84976635960     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2016.06.029     Document Type: Article

References (35)

1. Arrouays, D., Saby, N.P.A., Thioulouse, J., Jolivet, C., Boulonne, L., Ratié, C., Large trends in French topsoil characteristics are revealed by spatially constrained multivariate analysis. Geoderma 161 (2011), 107–114.
2. Bazzi, C.L., Souza, E.G., Uribe-Opazo, M.A., Nóbrega, L.H.P., Rocha, D.M., Management zones definition using soil chemical and physical attributes in a soybean area. Engenharia Agrícola 33 (2013), 952–964.
3. Bivand, R., spdep: Spatial Dependence: Weighting Schemes, Statistics and Models. 2012, R Foundation for Statistical Computing.
4. Boydell, B., McBratney, A.B., Identifying potential within-field management zones from cotton-yield estimates. Precision Agric. 3 (2002), 9–23.
5. Chessel, D., Dufour, A.B., Thioulouse, J., The ade4 package-I-one-table methods. R News, 2004, 5–10.
6. Cohen, S., Cohen, Y., Alchanatis, V., Levi, O., Combining spectral and spatial information from aerial hyperspectral images for delineating homogenous management zones. Biosyst. Eng. 114 (2013), 435–443.
7. Córdoba, M., Balzarini, M., Bruno, C., Costa, J.L., Principal component analysis with georeferenced data: an application in precision agriculture. FCA UNCUYO 44 (2012), 27–39.
8. Córdoba, M., Bruno, C., Costa, J.L., Balzarini, M., Subfield management class delineation using cluster analysis from spatial principal components of soil variables. Comput. Electron. Agric. 97 (2013), 6–14.
9. Córdoba, M., Bruno, C., Costa, J.L., Peralta, N.R., Balzarini, M., Protocol for multivariate homogeneous zone delineation in precision agriculture. Biosyst. Eng. 143 (2016), 95–107.
10. Czaplewski, R.L., Reich, R.M., Expected Value and Variance of Moran's Bivariate Spatial Autocorrelation Statistic Under Permutation. 1993, Department of Agriculture, Fort Collins, USA, 13.
11. Doerge, T.A., Site-Specific Management Guidelines. 2000, Potash & Phosphate Institute, Norcross.
12. Dray, S., Saïd, S., Débias, F., Spatial ordination of vegetation data using a generalization of Wartenberg's multivariate spatial correlation. J. Veg. Sci. 19 (2008), 45–56.
13. Embrapa, Brazilian Agricultural Research Corporation, Brazilian System of Soil Classification. 2006, CNPSO, Rio de Janeiro.
14. Fraisse, C.W., Sudduth, K.A., Kitchen, N.R., Delineation of site–specific management zones by unsupervised classification of topographic attributes and soil electrical conductivity. Int. J. ASABE 44 (2001), 155–166.
15. Fridgen, J.J., Kitchen, N.R., Sudduth, K.A., Drummond, S.T., Wiebold, W.J., Fraisse, C.W., Management zone analyst (MZA): software for subfield management zone delineation. Agronomy J. 96 (2004), 100–108.
16. Fu, Q., Wang, Z., Jiang, Q., Delineating soil nutrient management zones based on fuzzy clustering optimized by PSO. Math. Comput. Model. 51 (2010), 1299–1305.
17. Gnanadesikan, R., Kettenring, J., Tsao, S., Weighting and selection of variables for cluster analysis. J. Classif. 12 (1995), 113–136.
18. Hornung, A., Khosla, R., Reich, R.M., Inman, D., Westfall, D.G., Comparison of site-specific management zones: soil-color-based and yield-based. Agronomy J. 98 (2006), 407–415.
19. Hotelling, H., Analysis of a complex of statistical variables into principal components. J. Educ. Psychol. 24 (1933), 417–441.
20. Jaynes, D.B., Colvin, T.S., Kaspar, T.C., Identifying potencial soybean management zones from multi-year yield data. Comput. Electron. Agric. 46 (2005), 309–327.
21. Johnson, R.A., Wichern, D.W., Applied Multivariate Statistical Analysis. sixth ed., 2007, Pearson, New Jersey.
22. Larscheid, G., Blackmore, B.S., Interactions between farm managers and information systems with respect to yield mapping. International Conference on Precision Agriculture, 1996, American Society of Agronomy, Minneapolis, 1153–1163.
23. Li, Y., Shi, Z., Li, F., Li, H.Y., Delineation of site-specific management zones using fuzzy clustering analysis in a coastal saline land. Comput. Electron. Agric. 56 (2007), 174–186.
24. Li, Y., Shi, Z., Wu, H., Li, F., Li, H., Definition of management zones for enhancing cultivated land conservation using combined spatial data. Environ. Manage. 52 (2013), 792–806.
25. Mielke, P.W. Jr, Berry, K.J., Permutation Methods: A Distance Function Approach. 2007, Springer, New York.
26. Moral, F.J., Terrón, J.M., Silva, J.R.M., Delineation of management zones using mobile measurements of soil apparent electrical conductivity and multivariate geostatistical techniques. Soil Tillage Res. 106 (2010), 335–343.
27. Ord, J.K., Estimation methods for models of spatial interaction. J. Am. Stat. Assoc. 70 (1975), 120–126.
28. Peralta, N., Costa, J.L., Franco, M.C., Balzarini, M., Delimitación de zonas de manejo con modelos de elevación digital y profundidad de suelo. Interciencia 38 (2013), 418–424.
29. Peralta, N.R., Costa, J.L., Balzarini, M., Franco, M.C., Córdoba, M., Bullock, D., Delineation of management zones to improve nitrogen management of wheat. Comput. Electron. Agric. 110 (2015), 103–113.
30. Ping, J.L., Dobermann, A., Creating spatially contiguous yield classes for site-specific management. Agronomy J. 95 (2003), 1121–1131.
31. R Core Team, R: A Language and Environment for Statistical Computing. 2014, R Foundation for Statistical Computing, Vienna, Austria.
32. Reich, R.M., Spatial Statistical Modeling of Natural Resources. 2008, Colorado State University, Fort Collins.
33. Schenatto, K., Souza, E.G., Bazzi, C.L., Bier, V.A., Betzek, N.M., Gavioli, A., Data interpolation in the definition of management zones. Acta Scientiarum 38 (2016), 31–40.
34. Schepers, A.R., Shanahan, F.J., Liebig, M.A., Schepers, J.S., Johnson, S.H., Luchiari, J.A., Appropriateness of management zones for characterizing spatial variability of soil properties and irrigated corn yields across years. Agronomy J. 96 (2004), 195–203.
35. Zhang, Z., Lu, X., Lv, N., Chen, J., Feng, B., Li, X.W., Ma, L., Defining agricultural management zones using GIS techniques: case study of drip-irrigated cotton fields. Inf. Technol. J. 12 (2013), 6241–6246.