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CLC number: S156.4; S127

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Received: 2007-07-15

Revision Accepted: 2007-11-19

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Journal of Zhejiang University SCIENCE B 2008 Vol.9 No.1 P.68~76

http://doi.org/10.1631/jzus.B071379


Determination of potential management zones from soil electrical conductivity, yield and crop data


Author(s):  Yan LI, Zhou SHI, Ci-fang WU, Hong-yi LI, Feng LI

Affiliation(s):  College of Southeast Land Management, Zhejiang University, Hangzhou 310029, China; more

Corresponding email(s):   liyan522@zju.edu.cn

Key Words:  Management zones, Fuzzy clustering, Spatial variability, Saline land, Precision agriculture


Yan LI, Zhou SHI, Ci-fang WU, Hong-yi LI, Feng LI. Determination of potential management zones from soil electrical conductivity, yield and crop data[J]. Journal of Zhejiang University Science B, 2008, 9(1): 68~76.

@article{title="Determination of potential management zones from soil electrical conductivity, yield and crop data",
author="Yan LI, Zhou SHI, Ci-fang WU, Hong-yi LI, Feng LI",
journal="Journal of Zhejiang University Science B",
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number="1",
pages="68~76",
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publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.B071379"
}

%0 Journal Article
%T Determination of potential management zones from soil electrical conductivity, yield and crop data
%A Yan LI
%A Zhou SHI
%A Ci-fang WU
%A Hong-yi LI
%A Feng LI
%J Journal of Zhejiang University SCIENCE B
%V 9
%N 1
%P 68~76
%@ 1673-1581
%D 2008
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.B071379

TY - JOUR
T1 - Determination of potential management zones from soil electrical conductivity, yield and crop data
A1 - Yan LI
A1 - Zhou SHI
A1 - Ci-fang WU
A1 - Hong-yi LI
A1 - Feng LI
J0 - Journal of Zhejiang University Science B
VL - 9
IS - 1
SP - 68
EP - 76
%@ 1673-1581
Y1 - 2008
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.B071379


Abstract: 
One approach to apply precision agriculture to optimize crop production and environmental quality is identifying management zones. In this paper, the variables of soil electrical conductivity (EC) data, cotton yield data and normalized difference vegetation index (NDVI) data in an about 15 ha field in a coastal saline land were selected as data resources, and their spatial variabilities were firstly analyzed and spatial distribution maps constructed with geostatistics technique. Then fuzzy c-means clustering algorithm was used to define management zones, fuzzy performance index (FPI) and normalized classification entropy (NCE) were used to determine the optimal cluster numbers. Finally one-way variance analysis was performed on 224 georeferenced soil and yield sampling points to assess how well the defined management zones reflected the soil properties and productivity level. The results reveal that the optimal number of management zones for the present study area was 3 and the defined management zones provided a better description of soil properties and yield variation. Statistical analyses indicate significant differences between the chemical properties of soil samples and crop yield in each management zone, and management zone 3 presented the highest nutrient level and potential crop productivity, whereas management zone 1 the lowest. Based on these findings, we conclude that fuzzy c-means clustering approach can be used to delineate management zones by using the given three variables in the coastal saline soils, and the defined management zones form an objective basis for targeting soil samples for nutrient analysis and development of site-specific application strategies.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1] Bezdek, J.C., 1981. Pattern Recognition with Fuzzy Objective Function Algorithms. Plenum Press, New York.

[2] Blackmore, S., 2000. The interpretation of trends from multiple yield maps. Computer and Electronics in Agriculture, 26(1):37-51.

[3] Boydell, B., McBratney, A.B., 2002. Identifying Potential within-Field Management Zones from Cotton-Yield Estimates. Precision Agriculture, 3(1):9-23.

[4] Cetin, M., Kirda, C., 2003. Spatial and temporal changes of soil salinity in a cotton field irrigated with low-quality water. J. Hydrol., 272(1-4):238-249.

[5] Chien, Y.J., Lee, D.Y., Guo, H.Y., Houng, K.H., 1997. Geostatistical analysis of soil properties of mid-west Taiwan soils. Soil Sci., 162(4):291-297.

[6] Ding, N.F., Li, R., A., Dong, B.R., Fu, Q.L., Wang, J.H., 2001. Long-term observations and study on salinity and nutrients of coastal saline soils. Chin. J. Soil Sci., 32(2):57-59 (in Chinese).

[7] Doerge, T., 1999. Defining management zones for precision farming. Crop Insights, 8(21):1-5.

[8] Duffera, M., White, J.G., Weisz, R., 2007. Spatial variability of Southeastern US coastal plain soil physical properties: implications for site-specific management. Geoderma, 137(3-4):327-339.

[9] Ferguson, R.B., Lark, R.M., Slater, G.P., 2003. Approaches to management zone definition for use of nitrification inhibitors. Soil Sci. Soc. Am. J., 67:937-947.

[10] Fleming, K.L., Westfall, D.G., Wiens, D.W., Brodah, M.C., 2000a. Evaluating farmer developed management zone maps for variable rate fertilizer application. Precision Agriculture, 2(2):201-215.

[11] Fleming, K.L., Westfall, D.G., Bausch, W.C., 2000b. Evaluating Management Zone Technology and Grid Soil Sampling for Variable Rate Nitrogen Application. In: Robert, P.C., Rust, R.H., Larson, W.E. (Eds.), Proceedings of the 5th International Conference on Precision Agriculture and Other Source Management. ASA, CSSA, SSSA, Madison, WI, USA.

[12] Fraisse, C.W., Sudduth, K.A., Kitchen, N.R., 2001a. Calibration of the ceres-maize model for simulating site-specific crop development and yield on claypan soils. Appl. Eng. Agric., 17(4):547-556.

[13] Fraisse, C.W., Sudduth, K.A., Kitchen, N.R., 2001b. Delineation of site-specific management zones by unsupervised classification of topographic attributes and soil electrical conductivity. Trans. ASAE, 44(1):155-166.

[14] Franzen, D.W., Kitchen, N.R., 1999. Developing Management Zones to Target Nitrogen Applications. SSMG-5. In: Site-specific Management Guidelines Series. Potash & Phosphate Institute. Http://www.ppi-far.org/ssmg

[15] Fridgen, J.J., Kitchen, N.R., Sudduth, K.A., 2000. Variability of Soil and Landscape Attributes within Sub-field Management Zones. In: Robert, P.C., Rust, R.H., Larson, W.E. (Eds.), Proceedings of the 5th International Conference on Precision Agriculture and Other Source Management. ASA, CSSA, SSSA, Madison, WI, USA.

[16] Fridgen, J.J., Kitchen, N.R., Sudduth, K.A., Drummond, S.T., Wiebold, W.J., Fraisse, C.W., 2004. Management zone analyst (MZA): software for subfield management zone delineation. Agronomy Journal, 96:100-108.

[17] Fu, Q.L., Li, R.A., Ge, Z.B., 2000. Study and Practice on Agricultural Technology Demonstration in Coastal Saline Land in Zhejiang Province. Zhejiang University Press, Hangzhou, p.102-104, 122-123 (in Chinese).

[18] Godwin, R.J., Wood, G.A., Taylor, J.C., Knight, S.M., Welsh, H.P., 2003. Precision farming of cereal crops: a review of a six year experiment to develop management guidelines. Biosyst. Eng., 84(4):375-391.

[19] Hornung, A., Khosla, R., Reich, R., Westfall, D.G., 2003. Evaluation of Site-Specific Management Zones: Grain Yield, Biomass and Nitrogen Use Efficiency. In: Stafford, J.V., Werner, A. (Eds.), Proceedings of the 4th European Conference on Precision Agriculture. Wageningen Academic Publishers, Wageningen, the Netherlands, p.297-302.

[20] Jaynes, D.B., Colvin, T.S., Kaspar, T.C., 2005. Identifying potential soybean management zones from multi-year yield data. Computer and Electronics in Agriculture, 46(1-3):309-327.

[21] Johnson, C.K., Doran, J.W., Duke, H.R., Wienhold, B.J., Eskridge, K.M., Shanahan, J.F., 2001. Field-scale electrical conductivity mapping for delineating soil condition. Soil Sci. Soc. Am. J., 65:1829-1837.

[22] Khosla, R., Alley, M.M., 1999. Soil-specific management on mid-atlantic coastal plain soils. Better Crops with Plant Food, 83(3):6-7.

[23] Kitchen, N.R., Sudduth, K.A., Drummond, S.T., 1999. Soil electrical conductivity as a crop productivity measure for claypan soils. J. Prod. Agric., 12:607-617.

[24] Kitchen, N.R., Sudduth, K.A., Myersb, D.B., Drummonda, S.T., Hongc, S.Y., 2005. Delineating productivity zones on claypan soil fields using apparent soil electrical conductivity. Computer and Electronics in Agriculture, 46(1-3):285-308.

[25] Lark, R.M., Stafford, J.V., 1997. Classification as a first step in the interpretation of temporal and spatial variation of crop yield. Ann. Appl. Biol., 130:111-121.

[26] Li, Y., Shi, Z., Wang, R.C., Makeschin, F., 2007. Delineation of site-specific management zones based on temporal and spatial variability of soil electrical conductivity. Pedosphere, 17(2):156-164.

[27] 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.), Proceedings of the 2nd International Conference on Site-Specific Management for Agricultural Systems. ASA, CSSA, SSSA, Madison, WI, USA, p.251-271.

[28] Odeh, I.O.A., McBratney, A.B., Chittleborough, D.J., 1992. Soil pattern recognition with fuzzy-c-means: application to classification and soil-landform interrelationships. Soil Sci. Soc. Am. J., 56:505-516.

[29] Ortega, R.A., Santibáňez, O.A., 2007. Determination of management zones in corn (Zea mays L.) based on soil fertility. Computer and Electronics in Agriculture, 58(1):49-59.

[30] Reyniers, M., Maertens, K., Vrindts, E., de Baerdemaeker, J., 2006. Yield variability related to landscape properties of a loamy soil in central Belgium. Soil Tillage Res., 88(1-2):262-273.

[31] Robert, P.C., Rust, R.H., Larson, W.E., 1996. Precision Agriculture. ASA, CSSA, SSSA, Madison, WI, USA.

[32] Schepers, A.R., Shanahan, J.F., Liebig, M.K., Schepers, J.S., Johnson, S.H., Luchiari, A.Jr, 2004. Appropriateness of management zones for characterzing spatial variability of soil properties and irrigated corn yields across years. Agronomy Journal, 96:195-203.

[33] Shi, Z., Huang, M.X., Li, Y., 2003. Physico-chemical properties and laboratory hyperspectral reflectance of coastal saline soil in Shangyu City of Zhejiang Province, China. Pedosphere, 13(3):111-120.

[34] Stafford, J.V., Lark, R.M., Bolam, H.C., 1998. Using Yield Maps to Regionalize Fields into Potential Management Units. In: Robert, P.C., Rust, R.H., Larson, W.E. (Eds.), Proceedings of the 4th International Conference on Precision Agriculture. ASA, CSSA, SSSA, Madison, WI, USA, p.225-237.

[35] Sudduth, K.A., Kitchen, N.R., Hughes, D.F., Drummond, S.T., 1995. Electromagnetic Induction Sensing as an Indicator of Productivity on Claypan Soils. In: Robert, P.C., Rust, R.H., Larson, W.E. (Eds.), Proceedings of the 2nd Internal Conference on Site-Specific Management for Agricultural Systems. ASA, CSSA, SSSA, Madison, WI, USA, p.671-681.

[36] Vrindts, E., Mouazen, A.M., Reyniers, M., Maertens, K., Maleki, M.R., Ramon, H., de Baerdemaeker, J., 2005. Management zones based on correlation between soil compaction, yield and crop data. Biosyst. Eng., 92(4):419-428.

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