Weed Mapping with Co-Kriging Using Soil Properties

被引：44

作者：

Heisel T. ^{[1
]}

Ersbøll A.K. ^{[2
]}

Andreasen C. ^{[3
]}

机构：

[1] Department of Crop Protection, Danish Inst. of Agric. Sciences, Research Center Flakkebjerg

[2] Department of Mathematical Modelling, Technical University of Denmark, Building 321

[3] Department of Agricultural Sciences, Roy. Vet. and Agric. University, 1871 Copenhagen

来源：

Precision Agriculture | 1999年 / 1卷 / 1期

关键词：

Co-kriging; Soil properties; Weed densities and distributions; Weed mapping;

D O I：

10.1023/A:1009921718225

中图分类号：

学科分类号：

摘要：

Our aim is to build reliable weed maps to control weeds in patches. Weed sampling is time consuming but there are some shortcuts. If an intensively sampled variable (e.g. soil property) can be used to improve estimation of a sparsely sampled variable (e.g. weed distribution), one can reduce weed sampling. The geostatistical estimation method co-kriging uses two or more sampled variables, which are correlated, to improve the estimation of one of the variables at locations where it was not sampled. We did an experiment on a 2.1ha winter wheat field to compare co-kriging using soil properties, with kriging based only on one variable. The results showed that co-kriging Lamium spp. from 96 0.25m2 sample plots ha-1 with silt content improved the prediction variance by 11 % compared to kriging. With 51 or 18 sample plots ha-1 the prediction variance was improved by 21 and 15 %.

引用

页码：39 / 52

页数：13

共 17 条

[1]

Andreasen C., Streibig J.C., Haas H., Soil properties affecting the distribution of 37 weed species in Danish fields, Weed Research, 31, pp. 181-187, (1991)

[2]

Christensen S., Heisel T., Walter A.M., Patch spraying in cereals, Proceedings of the Second International Weed Control Congress, pp. 963-968, (1996)

[3]

Conradsen K., En Introduktion Til Statistik, (1995)

[4]

Day P.R., Particle fractionation and particle-size analysis, Methods of Soil Analysis. Part 1, 1st Edn., pp. 546-567, (1965)

[5]

Deutsch C.V., Journel A.G., GSLIB. Geostatistical Software Library and User's Guide, (1992)

[6]

Finney D.J., Transformation of observations for statistical analysis, Cotton Growing Review, 50, 1, pp. 1-14, (1973)

[7]

Heisel T., Andreasen C., Ersboll A.K., Annual weed densities can be mapped with kriging, Weed Research, 36, 4, pp. 325-337, (1996)

[8]

Isaaks E.H., Srivastava R.M., An Introduction to Applied Geostatistics, (1989)

[9]

Journel A.G., Huijbregts C.N.J., Mining Geostatistics, (1978)

[10]

Knudsen D., Peterson G.A., Pratt P.F., Lithium Sodium, and Potassium, Methods of Soil Analysis, Part 2, 2nd Edn., pp. 225-234, (1982)

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