Delineation of management zones in an apple orchard in Greece using a multivariate approach

Computers and Electronics in Agriculture

Volumn 90, Issue , 2013, Pages 119-130

  Aggelopooulou, Katerina ^a   Castrignanò, Annamaria ^b   Gemtos, Theofanis ^a   De Benedetto, Daniela ^b  

^a UNIVERSITY OF THESSALY   (Greece)

^b ISTITUTO NAZIONALE DELLA NUTRIZIONE   (Italy)

Author keywords

Apple orchard; Fruit quality mapping; Geostatistics; Management zones delineation; Soil characteristics; Yield mapping

Indexed keywords

AGRICULTURE; CROPS; FARMS; FRUITS; MULTIVARIANT ANALYSIS; ORCHARDS; SOIL SURVEYS; SOILS;

APPLE ORCHARDS; FRUIT QUALITY; GEO-STATISTICS; MANAGEMENT ZONES; SOIL CHARACTERISTICS; YIELD MAPPING;

MAPPING;

CROP YIELD; DECISION ANALYSIS; FOOD QUALITY; FRUIT; GEOSTATISTICS; HORTICULTURE; MAPPING METHOD; MULTIVARIATE ANALYSIS; ORCHARD; PRECISION AGRICULTURE; RESEARCH WORK; SOIL TYPE; SPATIAL VARIATION;

GREECE;

MALUS X DOMESTICA;

EID: 84871921591     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2012.09.009     Document Type: Article

References (56)

1. Aggelopoulou K., Wulfsohn D., Fountas S., Nanos G., Gemtos T., Blackmore S. Spatial variability of yield and quality in an apple orchard. Precision Agriculture 2010, 11(5):538-556. 10.1007/s11119-009-9146-9.
2. Aggelopoulou K., Fountas S., Pateras D., Nanos G., Gemtos T. Soil spatial variability and site-specific fertilization maps in an apple orchard. Precision Agriculture 2011, 12(1):118-129. 10.1007/s11119-010-9161-x.
3. Blackmore S., Godwin R.J., Fountas S. The analysis of spatial and temporal trends in yield map data over sixyears. Biosystems Engineering 2003, 84(4):455-466.
4. Bramley R.G.V., Hamilton R.P. Understanding variability in wine grape production systems: within vineyard variation in yield over several vintages. Australian Journal of Grape and Wine Research 2004, 10:32-45.
5. Bramley R.G.V., Pearse B., Chamberlain P. Being profitable precisely - a case study of precision viticulture from Margaret River. Australian & New Zealand Grape grower & Winemaker - Annual Technical Issue 2003, 473a:84-87.
6. Burrough P.A. Fuzzy mathematical methods for soil survey and land evaluation. Journal of Soil Science 1989, 40:477-492.
7. Castrignanò A., Giugliarini L., Risaliti R., Martinelli N. Study of spatial relationships among some soil physico-chemical properties of a field in central Italy using multivariate geostatistics. Geoderma 2000, 97:39-60.
8. Castrignanò A., Buttafuoco G., Pisante M., Lopez N. Estimating within-field variation using a non parametric density algorithm. Environmetrics 2006, 17:456-481.
9. Chilès J.P., Delfiner P. Geostatistics: Modelling Spatial Uncertainty 1999, Wiley, New York, pp. 695.
10. Diker K., Heermann D.F., Brodahl M.K. Frequency analysis of yield for delineating yield response zones. Precision Agriculture 2004, 5:435-444.
11. Dobermann A., Ping J.L., Adamchuk V.I., Simbahan G.C., Ferguson R.B. Classification of crop yield variability in irrigated production fields. Agronomy Journal 2003, 95:1105-1120.
12. ESRI Environmental Systems Research Institute, 1994. Grid Commands. ERSI, Redlands, CA.
13. Fleming K.L., Westfall D.G., Wiens D.W., Brodah M.C. Evaluating farmer developed management zone maps for variable rate fertilizer application. Precision Agriculture 2000, 2:201-215.
14. Florin, M., McBratney, A.B., Whelan, B.M., 2008. Inverse meta-modelling of yield monitor data for estimation of soil available water capacities at a spatial resolution of 10metres across farms. In: Proceedings of the 1st Global Workshop on High Resolution Digital Soil Sensing and Mapping, ACPA, Sydney, Australia, p. 10.
15. Fountas S., Aggelopoulou K., Bouloulis K., Nanos G.D., Wulfsohn D., Gemtos T.A., Paraskevopoulos A., Galanis M. Site-specific management in an olive tree plantation. Precision Agriculture 2010, 10.1007/s11119-010-9167-4.
16. Fraisse C.W., Sudduth K.A., Kitchen N.R. Calibration of the Ceres-Maize model for simulating site-specific crop development and yield on claypan soils. Applied Engineering in Agriculture 2001, 17(4):547-556.
17. 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. Transactions of the ASAE 2001, 44(1):155-166.
18. Friedman S. Soil properties influencing apparent electrical conductivity: a review. Computers and Electronics in Agriculture 2005, 46:45-70.
19. Géovariances, 2011. Isatis Technical Ref., Ver. 11.01. Geovariances & Ecole Des Mines De Paris, Avon Cedex, France.
20. Goovaerts P. Geostatistics for Natural Resources Evaluation 1997, Oxford University Press, New York.
21. Guastaferro F., Castrignanò A., De Benedetto D., Sollitto D., Troccoli A., Cafarelli B. A comparison of different algorithms for the delineation of management zones. Precision Agriculture 2010, 10.1007/s11119-010-9.
22. Irvin B.J., Ventura S.J., Slater B.K. Fuzzy and isodata classification of landform elements from digital terrain data in Pleasant Valley, Wisconsin. Geoderma 1997, 77:137-154.
23. Johnson C.K., Mortensen D.A., Wienhold B.J., Shanahan J.F., Doran J.W. Site-specific management zones based on soilelectrical conductivity in a semiarid cropping system. Agronomy Journal 2003, 95:303-315.
24. Journel A.G., Huijbregts C.J. Mining Geostatistics 1978, Academic Press, New York.
25. Kitchen N.R., Sudduth K.A., Drummond S.T. Soil electrical conductivity as a crop productivity measure for claypan soils. Journal of Production Agriculture 1999, 12:607-617.
26. Kitchen N.R., Drummond S.T., Lund E.D., Sudduth K.A., Buchleiter G.W. Soil electrical conductivity and topography related to yield for three contrasting soil-crop systems. Agronomy Journal 2003, 95:483-495.
27. Kitchen N.R., Sudduth K.A., Myers D.B., Drummond S.T., Hong S.Y. Delineating productivity zones on claypan soil fields using apparent soil electrical conductivity. Computers and Electronics in Agriculture 2005, 46:285-308.
28. Koukoulakis P. Basic principles of rational fertilization of crops. Crop and Animal Husbandry 1995, 9:43-61. (in Greek).
29. Lajaunie, C., Behaxeteguy, J.P., 1989. Elaboration d'un programme d' ajustement semi-automatique d' un model de coregionalisation - Theorie. Technical Report N21/89/G. ENSMP, Paris, 6p.
30. Lark R.M. Forming spatially coherent regions by classification of multivariate data: an example from the analysis of maps of crop yield. International Journal of Geographical Information Science 1998, 12:83-98.
31. Lark R.M., Stafford J.V. Classification as a first step in the interpretation of temporal and spatial variation of crop yield. Annals of Applied Biology 1997, 130:111-121.
32. Long, D.S., Carlson, G.R., DeGloria, S.D., 1994. Quality of field management maps. In: Robert, P.C., Rust, R.H., Larson, W.E. (Eds.), Site-Specific Management for Agricultural Systems. 2nd Proc. Int. Conf., Minneapolis, MN, 27-30 March 1994. ASA, CSSA and SSSA, Madison, WI, pp. 251-271.
33. Lopez-Granados F., Jurado-Exposito M., Alamo S., Garcia-Torres L. Leaf nutrient spatial variability and site-specific fertilization maps within olive (Oleaeuropaea L.) orchards. European Journal Agronomy 2004, 21:209-222.
34. Lund E.D., Christy C.D., Drummond P.E. Practical applications of soil electrical conductivity mapping. Proceedings of the 2nd European Conference on Precision Agriculture 1999.
35. MacMillan, R.A., Pettapiece, W.W., Watson, L.D., Goddard, T.W., 1998. A landform segmentation model for precision farming. In: Robert, P.C., et al. (Eds.) Precision Agriculture. 4th Proc Int. Conf., St. Paul, MN, 19-22 July 1998. ASA, CSSA and SSSA, Madison, WI, pp. 1335-1346.
36. Mann K.K., Schumann A.W., Obreza T.A. Delineating productivity zones in a citrus grove using citrus production tree growth and temporally stable soil data. Journal of Precision Agriculture 2010, 12(20). 10.1007/s11119-010-9189.
37. McLean, E.O., 1982. Soil pH and lime requirements. In: Page, A.L., Miller, H.R., Keeney, R.D. (Eds.), Methods of Soil Analysis. Part 2: Chemical and Microbiological Properties, American Society of Agronomy and Soil Science of America, Madison, Wisc.
38. Morari F., Castrignano A., Pagliarin C. Application of multivariate geostatistics in delineating management zones within a gravelly vineyard using geo-electrical sensors. Computers and Electronics in Agriculture 2009, 69:97-107.
39. Nelson, D.W., Sommers, L.E. 1982. Total carbon, organic carbon, and organic matter. In: Page, A.L., Miller, H.R., Keeney, R.D. (Eds.), Methods of Soil Analysis. Part 2: Chemical and Microbiological Properties, American Society of Agronomy and Soil Science of America, Madison, Wisc.
40. Olsen, S.R., Sommers, L.E., 1982. Phosphorus. In: Page, A.L., Miller, H.R., Keeney, R.D. (Eds.), Methods of Soil Analysis. Part 2: Chemical and Microbiological Properties, American Society of Agronomy and Soil Science of America, Madison, Wisc.
41. Perry, C.D., Sullivan, D.G., Ortiz, B.V., Rucker, K.S., Vellidis, G., 2007. Developing Nematode Management Zones Using Soil EC Data. ASAE Paper N. 071002.
42. Ping J.L., Dobermann A. Site specific management. Creating spatially contiguous yield classes for site-specific management. Agronomy Journal 2003, 95:1121-1131.
43. Pontikis, K., 2003. Applied Pomology. Stamoulis Publications, Athens, Greece, p. 74 (in Greek).
44. Sarle, W.S., 1982. Cluster Analysis by Least Squares. SAS Users Group International Conference Proceedings: SUGI 7, pp. 651-653.
45. SAS Institute Inc., 2011. SAS/STAT Software Release 9.2. USA, Cary, NC.
46. Scott D.W. Multivariate Density Estimation: Theory Practice and Visualization 1992, John Wiley & Sons Inc., New York.
47. Silverman B.W. Density Estimation 1986, Chapman and Hall, New York.
48. Stafford, J.V., Lark, R.M., Bolam, H.C., 1998. Using yield maps to regionalize fields into potential management units. In: Robert, P.C., et al. (Eds.), Precision Agriculture. 4th Proc. Int. Conf., St. Paul, MN, 19-22 July 1998. ASA, CSSA and SSSA, Madison, WI, pp. 225-237.
49. Sudduth, K.A., Drummond, S.T., Birrell, S.J., Kitchen, N.R., 1996. Analysis of spatial factors influencing crop yield. In: Robert, P.C., Rust, R.H., Larson, W.E. (Eds.), Precision Agriculture. 3rd Proc. Int. Conf., Minneapolis, MN, 23-26 June 1996. ASA, CSSA, and SSSA, Madison, WI, pp. 129-140.
50. Tou J.T., Gonzalez R.C. Pattern Recognition Principles 1974, Addison-Wesley, Reading, MA.
51. Vardoulis, G., Markinos, A., Aggelopoulou, K., Fountas, S., Gertsis, A., Gemtos, T.A., 2006. Crop variability in cotton fields. In: HAICTA 2006, Volos, Greece, 21-23 September 2006, pp. 328-333.
52. Vasilakakis M. General and Specialized Pomology 2007, Gartaganis Publications, Thessaloniki, Greece, (in Greek).
53. Vrindts E., Mouazen A.M., Reyniers M., Maertens K., Maleki M.R., Ramon H., De Baerdemaeker J. Management zones based on correlation between soil compaction, yield and crop data. Biosystems Engineering 2005, 92(4):419-428.
54. Wackernagel H. Multivariate Geostatistics: An Introduction with Applications 2003, Springer Verlag, Berlin, pp. 388. third ed.
55. Whelan B.M., McBratney A.B. The null hypothesis of precision agriculture management. Precision Agriculture 2000, 2:265-279.
56. Zaman Q., Schuman W.A. Nutrient management zones for citrus based on variation in soil properties and tree performance. Precision Agriculture 2006, 7:45-63.