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T. Bishop, R. Lark (2007)
A landscape-scale experiment on the changes in available potassium over a winter wheat cropping seasonGeoderma, 141
J. Stafford (2005)
Precision Agriculture '05
Guy Brys, M. Hubert, Anja Struyf (2004)
A Robust Measure of SkewnessJournal of Computational and Graphical Statistics, 13
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Designing your own on-farm experiments: How precision agriculture can help. Kingston, Australia: Grains Research and Development Corporation
M. Pringle, A. McBratney, S. Cook (2004)
Field-Scale Experiments for Site-Specific Crop Management. Part II: A Geostatistical AnalysisPrecision Agriculture, 5
R. Bramley, D. Lanyon (2006)
Investigating a soil management option to overcome salinity problems through whole of block experimentationThe Australian & New Zealand Grapegrower and Winemaker
R. Lark (2000)
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Methods of on-farm experimentation using precision agriculture technology
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Managing yield variation in vineyards
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Field-Scale Experiments for Site-Specific Crop Management. Part I: Design ConsiderationsPrecision Agriculture, 5
R Bramley, S Cook, M Adams, R Corner (1999)
Designing your own on-farm experiments: How precision agriculture can help
R. Lark, P. Bellamy, B. Rawlins (2006)
Spatio-temporal variability of some metal concentrations in the soil of eastern England, and implications for soil monitoring.Geoderma, 133
T. Bishop, R. Lark (2006)
The geostatistical analysis of experiments at the landscape-scaleGeoderma, 133
R. Bramley, R. Hamilton (2004)
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R. Bramley, P. Robert (2003)
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Understanding variability in winegrape production systems: 1. Within vineyard variation in yield over several yearsAustralian Journal of Grape and Wine Research, 10
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A. Papritz (2008)
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T. Bishop, R. Lark (2008)
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R. Bramley, D. Lanyon, K. Panten, J. Stafford (2005)
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R. Bramley (2005)
Understanding variability in winegrape production systems 2. Within vineyard variation in quality over several vintagesAustralian Journal of Grape and Wine Research, 11
G Brys, M Hubert, A Struyf (2003)
ICORS 2001, developments in robust statistics
M. Adams, S. Cook, P. Robert, R. Rust, W. Larson (2000)
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M. Pringle, A. McBratney, S. Cook, J. Stafford (1999)
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(2005)
VESPER Version 1.62. Resource Document. Australian Centre for Precision Agriculture, McMillan Building A05, the University of Sydney, NSW
Precision agriculture (PA) offers opportunities for the development of new approaches to on-farm experimentation to assist farmers with site-specific management decisions. Traditional agricultural experiments are usually implemented in fields with the least possible soil heterogeneity under the assumption that responses to inputs and inherent variation of the soil are additive components of yield variation. However, because the soil in typical fields is not homogeneous, PA has much to offer. Farmers faced with variable conditions need to optimize their management to the variation over space and time on their farm, a problem that is not solved by conventional approaches to experimentation. New designs for on-farm experiments were developed in the 1990s for cereal production in which the whole field was used for the experiment rather than small plots. We explore the extension of this type of experiment to a vineyard in the Clare Valley of South Australia aiming to evaluate options to increase grape yield and vine vigour. Manually sampled indices of vine performance measured on georeferenced ‘target’ grapevines were analysed geostatistically. The major advantage of such an approach is that the spatial variation in response to experimental treatments can be examined. Linear models of coregionalization, pseudo cross-variograms and standardized ordinary cokriging are used to map treatment responses over the experimental area and also the differences between them. The results indicate that both treatment responses and the significance of differences between them are spatially variable. Thus, we conclude that whole-of-block on-farm trials are useful in vineyards.
Precision Agriculture – Springer Journals
Published: Aug 6, 2009
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