Does kriging predict weed distributions accurately enough for site-specific weed control?

Numerous studies have demonstrated the patchy distribution of weeds within fields. The majority of these studies have used discrete sampling, recording weed densities at the intersections of regular grids. In this study, Avena spp. seedlings were recorded on square grids at four sites. The data were then divided into test and real data sets using the whole, two-thirds and one-half of the data to evaluate the consistency of global variogram models and accuracy of ordinary kriging estimates. Kriging provided poor weed density estimates at both very low and high densities, i.e. data were smoothed when compared with true values. Grid sampling took considerable time and, therefore, money to complete, whereas continuous sampling with multispectral imagery (performed at one site) was much quicker and at a finer resolution. It is suggested that sampling systems that collect continuous rather than discrete data are currently more appropriate for site-specific weed management.

[1]  J. V. Stafford,et al.  Mapping and interpreting the yield variation in cereal crops , 1996 .

[2]  J. N. Perry.  Measures of spatial pattern and spatial association for counts of insects , 1996 .

[3]  Rew,et al.  Evaluating the accuracy of mapping weeds in seedling crops using airborne digital imaging: Avena spp. in seedling triticale , 1999 .

[4]  J. Cardina,et al.  Analysis of Spatial Distribution of Common Lambsquarters (Chenopodium album) in No-Till Soybean (Glycine max) , 1995, Weed Science.

[5]  Stuart R. Phinn,et al.  Monitoring detailed land surface changes using an airborne multispectral digital camera system , 1996, IEEE Trans. Geosci. Remote. Sens..

[6]  Joe N. Perry,et al.  MEASURES OF SPATIAL PATTERN FOR COUNTS , 1998 .

[7]  C. Colliver,et al.  Georeferencing Wild Oat Infestations in Small Grains: Accuracy and Efficiency of Three Weed Survey Techniques , 2015 .

[8]  Joe N. Perry,et al.  Red–blue plots for detecting clusters in count data , 1999 .

[9]  Lisa J. Rew,et al.  Spatial distribution of weeds in arable crops: are current sampling and analytical methods appropriate? , 2001 .

[10]  G. W. Cussans,et al.  A technique for mapping the spatial distribution of Elymus repots, with estimates of the potential reduction in herbicide usage from patch spraying , 1996 .

[11]  A. McBratney,et al.  Further results on prediction of soil properties from terrain attributes: heterotopic cokriging and regression-kriging , 1995 .

[12]  L. Wiles,et al.  Spatial Distribution of Broadleaf Weeds in North Carolina Soybean (Glycine max) Fields , 1992, Weed Science.

[13]  D. Mortensen,et al.  Influence of velvetleaf (Abutilon theophrasti) and common sunflower (Helianthus annuus) density variation on weed management outcomes , 1999, Weed Science.

[14]  J. V. Stafford,et al.  Characterizing spatial and temporal dynamics of weed seedling populations. , 1999 .

[15]  G. Johnson,et al.  Spatial and Temporal Analysis of Weed Seedling Populations Using Geostatistics , 1996, Weed Science.

[16]  Dawn Y. Wyse-Pester,et al.  Characterizing spatial stability of weed populations using interpolated maps , 1997, Weed science.

[17]  E. Marshall,et al.  Field‐scale estimates of grass weed populations in arable land , 1988 .

[18]  Peter J. Diggle,et al.  Statistical analysis of spatial point patterns , 1983 .

[19]  Dieleman,et al.  Characterizing the spatial pattern of Abutilon theophrasti seedling patches , 1999 .

[20]  Alex Martin,et al.  A simulation of herbicide use based on weed spatial distribution , 1995 .

[21]  T. Heisel,et al.  Annual weed distributions can be mapped with kriging , 1996 .

[22]  W. Donald,et al.  Geostatistics for Mapping Weeds, with a Canada Thistle (Cirsium arvense) Patch as a Case Study , 1994, Weed Science.

[23]  Giuseppe Zanin,et al.  Incorporation of weed spatial variability into the weed control decision‐making process , 1998 .

[24]  A. Huete.  A soil-adjusted vegetation index (SAVI) , 1988 .

[25]  Alex B. McBratney,et al.  On the Akaike Information Criterion for choosing models for variograms of soil properties. , 1989 .

[26]  R. Webster,et al.  Statistical Methods in Soil and Land Resource Survey. , 1990 .

[27]  Anthony N. Pettitt,et al.  Sampling Designs for Estimating Spatial Variance Components , 1993 .

[28]  Rew,et al.  A stochastic simulation model for evaluating the concept of patch spraying , 1998 .

[29]  Edward L. McCoy,et al.  Spatial Relationships Between Seedbank and Seedling Populations of Common Lambsquarters (Chenopodium album) and Annual Grasses , 1996, Weed Science.

[30]  Alex Martin,et al.  The Stability of Weed Seedling Population Models and Parameters in Eastern Nebraska Corn (Zea mays) and Soybean (Glycine max) Fields , 1995, Weed Science.