Does kriging predict weed distributions accurately enough for site‐specific weed control? |
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| Authors: | L J Rew B Whelan & A B Mcbratney |
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| Institution: | Tamworth Centre for Crop Improvement, Tamworth, NSW 2340, Australia;Australian Centre for Precision Agriculture, Department of Agricultural Chemistry &Soil Science, McMillan Building A05, University of Sydney, NSW 2006, Australia |
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| Abstract: | 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. |
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| Keywords: | geostatistics precision agriculture spatial distributions sampling resolution Avena spp |
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