Abstract
For more efficient field operation and management of precision irrigation, Management Zone Analyst (MZA) software was used to delineate irrigation management zones. MZA is a simple and fast software for subfield management zone delineation on the basis of fuzzy c-means clustering algorithm. The measured soil physical properties of Chahayang Farm in Heilongjiang Province were taking as data source in the paper. Principal component analysis was firstly used to eliminate the multiple correlations of the data and MZA was then performed to delineate irrigation management zones of the study area. The results indicated that the study area was divided into two irrigation management zones by MZA, and soil physical properties had high uniformity in each subzone and significant difference between subzones which confirmed the partition. The delineation of irrigation management zones based on MZA had high precision and could make up the deficiencies of higher theoretical level and hard mastery of other clustering algorithms. The delineation results based on MZA can provide the basis for decision making of precision irrigation practices.
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Li, Y., Shi, Z., Wu, C., et al.: Definition of management zones based on fuzzy clustering analysis in coastal saline land. Scientia Agricultura Sinica 40(1), 114–122 (2007)
Ostergaard, H.G.S.: Agronomic consequences of variable N fertilization. In: Stafford, J.V. (ed.) Proceeding of the 1st European Conference on Precision Agriculture, pp. 315–320. BIOS Scientific Publishers, Oxford (1997)
Fleming, K.L., Westfall, D.G., Wiens, D.W., et al.: Evaluating farmer developed management zone maps for variable rate fertilizer application. Precision Agriculture 2, 201–205 (2000)
Li, Y., Shi, Z., Wu, C., et al.: Classification of management zones for precision farming in saline soil based on multidata sources to characterize spatial variability of soil properties. Transactions of the CSAE 23(8), 84–89 (2007)
Li, X., Pan, Y., Ma, J., et al.: Soil Nutrients-based zoning for management of precision agriculture. Acta Pedologica Sinica 44(1), 14–19 (2007)
Jiang, Q., Fu, Q., Wang, Z.: Application of improved ant colony clustering method in the delineation of site-specified irrigation management zones. Transactions of the CSAE 26(2), 37–42 (2010)
Wang, Z., Fu, Q., Jiang, Q.: Soil nutrient management zones based on particle swarm optimization algorithm. Transactions of the CSAE 24(10), 80–84 (2008)
Fridgen, J.J., Kitchen, N.R., Sudduth, K.A.: Management zone analyst (MZA): software for subfield management zone delineation. Agronomy Journal 96, 100–108 (2004)
Soil Physics Research Office, Institute of Soil Science, Chinese Academy of Sciences. In: Determination of Soil Physical Properties, pp. 99–121. Science Press, Beijing (1978)
Bezdek, J.C.: Pattern Recognition with Fuzzy Objective Function Algorithms. Plenum Press, New York (1981)
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 44(1), 155–166 (2001)
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© 2011 IFIP International Federation for Information Processing
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Jiang, Q., Fu, Q., Wang, Z. (2011). Study on Delineation of Irrigation Management Zones Based on Management Zone Analyst Software. In: Li, D., Liu, Y., Chen, Y. (eds) Computer and Computing Technologies in Agriculture IV. CCTA 2010. IFIP Advances in Information and Communication Technology, vol 346. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18354-6_50
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DOI: https://doi.org/10.1007/978-3-642-18354-6_50
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