Protocol for multivariate homogeneous zone delineation in precision agriculture

Biosystems Engineering

Volumn 143, Issue , 2016, Pages 95-107

  Córdoba, Mariano A ^a   Bruno, Cecilia I ^a   Costa, José L ^b   Peralta, Nahuel R ^b   Balzarini, Mónica G ^a  

^a Facultad de Ciencias Naturales e Instituto M Lillo   (Argentina)

^b UNIVERSIDAD NACIONAL DE MAR DEL PLATA   (Argentina)

Author keywords

Multivariate classification; Site specific management; Software specifications; Spatial autocorrelation; Spatial data

Indexed keywords

AGRICULTURE; CROPS; STATISTICAL MECHANICS; ZONING;

MULTIVARIATE CLASSIFICATION; SITE SPECIFIC MANAGEMENT; SOFTWARE SPECIFICATION; SPATIAL AUTOCORRELATIONS; SPATIAL DATA;

INFORMATION MANAGEMENT;

EID: 84957547928     PISSN: 15375110     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biosystemseng.2015.12.008     Document Type: Article

References (74)

1. Aggelopooulou K., Castrignanò A., Gemtos T., De Benedetto D. Delineation of management zones in an apple orchard in Greece using a multivariate approach. Computers and Electronics in Agriculture 2013, 90:119-130.
2. Akaike H. An information criterion (AIC). Mathematical Sciences 1976, 14(153):5-9.
3. Amidan B., Ferryman T., Cooley S. Data outlier detection using the Chebyshev theorem. IEEE Aerosp. Conf 2005, 3814-3819.
4. Anderberg M.R. Cluster analysis for applications 1973, Academic Press, Inc., New York.
5. Anselin L. Local indicators of spatial association - LISA. Geographical Analysis 1995, 27:93-115.
6. Anselin L. The Moran scatterplot as an ESDA tool to assess local instability in spatial association. Spatial analytical perspectives on GIS 1996, 111-125. Taylor and Francis, London. M. Fischer, H. Scholten, D. Unwin (Eds.).
7. Arce G.R. Nonlinear signal processing: A statistical approach 2005, John Wiley and Son, New Jersey.
8. Arno J., Martinez-Casasnovas J.A., Ribes-Dasi M., Rosell J.R. Clustering of grape yield maps to delineate site-specific management zones. Spanish Journal of Agricultural Research 2011, 9:721-729.
9. Barbieri P., Echeverría H., Sainz Rozas H. Nitrates in soil at planting or tillering as a diagnostic of the nitrogenated nutrition in wheat in the Southeastern Pampas. Soil Science 2009, 27:41-47.
10. Bezdek J.C. Pattern recognition with fuzzy objective function algorithms 1981, Plenum Press, New York.
11. Bivand R. spdep: Spatial dependence: weighting schemes, statistics and models 2014, R package version 0.5-75/r559. http://R-Forge.R-project.org/projects/spdep/.
12. Bivand R., Keitt T., Rowlingson B. rgdal: Bindings for the geospatial data abstraction library 2014, R package version 0.8-16. http://CRAN.R-project.org/package=rgdal.
13. Bland J.M., Altman D.G. Multiple significance tests: the Bonferroni method. BMJ 1995, 310(6973):170.
14. Boydell B., McBratney A.B. Identifying potential within-field management zones from cotton-yield estimates. Precision Agriculture 2002, 3:9-23.
15. Burgos J.J., Vidal A.L. The climates of the Argentine Republic according to the new Thornthwaite classification. Annals of the Association of American Geographers 1951, 41:237-263.
16. Buschiazzo D. Estudio sobre la tosca. Parte I: evidencias de un movimiento descendente del carbonato en base a la interpretación de características macro y geomorfológicas. Ciencia del Suelo 1986, 4:55-65.
17. Chessel D., Dufour A.B., Thioulouse J. The ade4 package-I - One-table methods. R News 2004, 5-10.
18. Córdoba M., Bruno C., Costa J.L., Balzarini M. Subfield management class delineation using cluster analysis from spatial principal components of soil variables. Computers and Electronics in Agriculture 2013, 97:6-14.
19. Corwin D.L., Lesch S.M. Delineating site-specific management units with proximal sensors. Geostatistical applications in precision agriculture 2010, 139-165. Springer, New York. O. Margaret (Ed.).
20. Davatgar N., Neishabouri M.R., Sepaskhah A.R. Delineation of site specific nutrient management zones for a paddy cultivated area based on soil fertility using fuzzy clustering. Geoderma 2012, 173-174:111-118.
21. Dewis J., Freitas F. Métodos físicos y químicos de análisis de suelos y aguas 1970, FAO, Boletín sobre Suelos N° 10.
22. Draper N.R., Smith H. Applied regression analysis 1998, John Wiley and Sons, New York, 3rd Edition.
23. Dray S., Legendre P., Peres-Neto P.R. Spatial modelling: a comprehensive framework for principal coordinate analysis of neighbour matrices (PCNM). Ecological Modelling 2006, 196(3):483-493.
24. Dray S., Saïd S., Débias F. Spatial ordination of vegetation data using a generalization of Wartenberg's multivariate spatial correlation. Journal of Vegetation Science 2008, 19:45-56.
25. Falivene O., Cabrera L., Tolosana-Delgado R., Sáez A. Interpolation algorithm ranking using cross-validation and the role of smoothing effect. A coal zone example. Computers & Geosciences 2010, 36(4):512-519.
26. Farahani H.J., Flynn R.L. Map quality and zone delineation as affected by width of parallel swaths of mobile agricultural sensors. Biosystems Engineering 2007, 96:151-159.
27. Fleming K.L., Westfall D.G., Wiens D.W., Brodahl M.C. Evaluating farmer defined management zones for variable rate fertilizer application. Precision Agriculture 2000, 2:201-215.
28. Fraisse C., Sudduth K., Kitchen N. Delineation of site-specific management zones by unsupervised classification of topographic attributes and soil electrical conductivity. Transactions of the ASAE 2001, 44:155-166.
29. 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 Journal 2004, 96:100-108.
30. Frogbrook Z.L., Oliver M.A. Identifying management zones in agricultural fields using spatially :constrained classification of soil and ancillary data. Soil Use Manage 2007, 23:40-51.
31. Fukuyama Y., Sugeno M. A new method of choosing the number of clusters for the fuzzy c-means method. Proc. 5th fuzzy Syst. Symp 1989, 247-250.
32. Galarza R., Mastaglia N., Albornoz E.M., Martínez C.E. Identificación automática de zonas de manejo en lotes productivos agrícolas. V Congreso Argentino de Agroinformática (CAI) - 42da. JAIIO 2013.
33. Getis A., Ord K. The analysis of spatial association by use of distance statistics. Geographical Analysis 1992, 24:189-206.
34. Gili A.A. Modelación de la variación espacial de variables edáficas y su aplicación en el diseño de planes de muestreo de suelos 2013, PhD Thesis, Universidad Nacional de Córdoba, Argentina.
35. Gonzalez R.C., Woods R. Digital image processing 2008, Pearson Prentice Hall, Upper Saddle River, New Jersey.
36. Guastaferro F., Castrignanò A., Benedetto D., Sollitto D., Troccoli A., Cafarelli B. A comparison of different algorithms for the delineation of management zones. Precision Agriculture 2010, 11:600-620.
37. Khosla R., Inman D., Westfall D.G., Riech R., Frasier W.M., Mzuku M., et al. A synthesis of multi-disciplinary research in precision agriculture: site specific management zones in the semi-arid western Great Plains of the USA. Precision Agriculture 2008, 9:85-100.
38. Khosla R., Westfall D.G., Reich R.M., Mahal J.S., Gangloff W.J. Spatial variation and site-specific management zones. Geostatistical applications in precision agriculture 2010, 195-219. Springer, New York. O. Margaret (Ed.).
39. Kravchenko A.N., Bullock D.G. Correlation of grain yield with topography and soil properties. Agronomy Journal 2000, 92:75-83.
40. Kravchenko A.N., Robertson G.P., Thelen K.D., Harwood R.R. Management, topographical, and weather effects on spatial variability of crop grain yields. Agronomy Journal 2005, 97(2):514-523.
41. Lark R.M. Forming spatially coherent regions by classification of multi-variate data: an example from the analysis of maps of crop yield. International Journal of Geographical Information Science 1998, 12:83-98.
42. Lawes R.A., Bramley R.G.V. A simple method for the analysis of on-farm strip trials. Agronomy Journal 2012, 104(2):371-377.
43. Long D.S. Spatial autoregression modeling of site-specific wheat yield. Geoderma 1998, 85:181-197.
44. McBratney A.B., Pringle M.J. Estimating average and proportional variograms of soil properties and their potential use in precision agriculture. Precision Agriculture 1999, 1:212-236.
45. Meyer D., Dimitriadou E., Hornik K., Weingessel A., Leisch F. e1071: Misc Functions of the Department of Statistics (e1071), TU Wien 2014, R package version 1.6-4. http://CRAN.R-project.org/package=e1071.
46. Minasny B., McBratney A.B. FuzME version 3.0, Australian Centre for Precision Agriculture, McMillan Building A05, The University of Sydney, NSW 2006 2002.
47. Minasny B., McBratney A.B., Whelan B.M. VESPER version 1.62. Australian Centre for Precision Agriculture, McMillan Building A05, The University of Sydney, NSW 2006 2005.
48. Moral F.J., Terrón J.M., Marques Da Silva J.R. Delineation of management zones using mobile measurements of soil apparent electrical conductivity and multivariate geostatistical techniques. Soil and Tillage Research 2010, 106:335-343.
49. Odeh I.O.A., Chittleborough D.J., McBratney A.B. Soil pattern recognition with fuzzy-c-means: application to classification and soil-landform interrelationships. Soil Science Society of America Journal 1992, 56:505.
50. Oliver M.A., Webster R. A tutorial guide to geostatistics: computing and modelling variograms and kriging. Catena 2014, 113:56-69.
51. Pebesma E.J. Multivariable geostatistics in S: the gstat package. Computers & Geosciences 2004, 30:683-691.
52. Pennock D.J. Terrain attributes, landform segmentation, and soil redistribution. Soil and Tillage Research 2003, 69(1-2):15-26.
53. Peralta N.R., Costa J.L., Balzarini M., Angelini H. Delineation of management zones with measurements of soil apparent electrical conductivity in the southeastern pampas. Canadian Journal of Soil Science 2013, 93:205-218.
54. Peralta N.R., Costa J.L., Balzarini M., Castro Franco M. Delimitación de zonas de manejo con modelos de elevación digital y profundidad de suelo. Interciencia 2013, 38(6):1-7.
55. Peralta N.R., Costa J.L., Balzarini M., Castro Franco M., Córdoba M., Bullock D. Delineation of management zones to improve nitrogen management of wheat. Computers and Electronics in Agriculture 2015, 110:103-113.
56. Ping J.L., Dobermann A. Creating spatially contiguous yield classes for site specific management. Agronomy Journal 2003, 95:1121-1131.
57. Pinheiro J., Bates D., DebRoy S., Sarkar D., R.Core Team nlme: Linear and nonlinear mixed effects models 2014, R package version 3.1-118, URL, 670. http://CRAN.R-project.org/package=nlme.
58. R Core Team R: A language and environment for statistical computing 2015, R Foundation for Statistical Computing, Vienna, Austria, URL. http://www.R-project.org/.
59. Ribeiro Junior P.J., Diggle P.J. geoR: a package from geostatistical analysis. R News 2001, 1(2):15-18.
60. Rodríguez-Pérez J.R., Plant R.E., Lambert J.J., Smart D.R. Using apparent soil electrical conductivity (ECa) to characterize vineyard soils of high clay content. Precision Agriculture 2011, 12:775-794.
61. Roel A., Plant R.E. Spatiotemporal analysis of rice yield variability in two California fields. Agronomy Journal 2004, 96(1):77-90.
62. Sanchez M.G.B., Marques J., Siqueira D.S., Camargo L.A., Pereira G.T. Delineation of specific management areas for coffee cultivation based on the soil-relief relationship and numerical classification. Precision Agriculture 2013, 14(2):201-214.
63. Satorre E.H., Slafer G.A. Wheat production systems of the Pampas. Wheat: Ecology and physiology of yield determination 1999, 333-348. Food Products Press, New York, NY.
64. Simbahan G.C., Dobermann A., Ping J.L. Site-specific management: screening yield monitor data improves grain yield maps. Agronomy Journal 2004, 96:1091-1102.
65. Siqueira D.S., Marques J., Pereira G.T. The use of landforms to predict the variability of soil and orange attributes. Geoderma 2010, 155(1-2):55-66.
66. Sudduth K.A., Drummond S.T. Yield Editor. Agronomy Journal 2007, 99(6):1471-1482.
67. Sudduth K.A., Hughes D.F., Drummond S.T. Electromagnetic induction sensing as an indicator of productivity on claypan soils. Proc. Int. Conf. on Site-Specific Management for Agricultural Systems, Minneapolis, Madison, USA 1995, 671-681. P.C. Robert (Ed.).
68. Sun W., Whelan B., McBratney A.B., Minasny B. An integrated framework for software to provide yield data cleaning and estimation of an opportunity index for site-specific crop management. Precision Agriculture 2013, 14:376-391.
69. Taylor J.A., McBratney A.B., Whelan B.M. Establishing management classes for broadacre agricultural production. Agronomy Journal 2007, 99:1366-1376.
70. Webster R., Oliver M.A. Geostatistics for environmental scientists 2007, John Wiley & Sons, Chichester. 2nd ed.
71. West T.B., Welch K.B., Galecki A.T. Linear mixed models: A practical guide using statistical software 2015, Chapman & Hall/CRC, Boca Raton, 440 pp. 2nd ed.
72. Windham M.P. Cluster validity for fuzzy clustering algorithms. Fuzzy Sets and Systems 1981, 5:177-185.
73. Xie L.X., Beni G. Validity measure for fuzzy clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence 1991, 3(8):841-847.
74. Yao R.J., Yang J.S., Zhang T.J., Gao P., Wang X.P., Hong L.Z., et al. Determination of site-specific management zones using soil physico-chemical properties and crop yields in coastal reclaimed farmland. Geoderma 2014, 232:381-393.