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Titlebook: Geostatistical Applications for Precision Agriculture; M.A. Oliver Book 2010 Springer Science+Business Media B.V. 2010 Precision Agricultu

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Book 2010 as it becomes increasingly possible to obtain data cheaply and more farmers use onboard digital maps of soil and crops to manage their land.It might also stimulate more software development for geostatistics in PA.
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https://doi.org/10.1007/978-3-319-98533-6ng are described briefly in this chapter, and others types are portrayed in subsequent chapters. The application of the variogram and kriging are illustrated with a case study of an arable field in England.
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https://doi.org/10.1007/978-3-663-16013-7potato field. Space–time geostatistics proves to be a useful extension to spatial geostatistics for precision agriculture, although theoretical as well as practical advances are required to mature this subject area and make it ready to be used for within-season, within-field decision making by farmers.
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https://doi.org/10.37307/b.978-3-503-20511-0 than the savings from not applying herbicides or nematicides. Only for potatoes is the effort and cost of estimating the burdens of the parasitic cyst nematodes of the genus. justified economically. For precise control of weeds proximal sensing at the seedling stage seems more promising.
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Application of Geostatistical Simulation in Precision Agriculture,case studies demonstrate the application of geostatistical simulation in precision agriculture. They deal with the risk of under- and over-liming because of uncertainty about the accuracy of a pH map, the economic costs of GPS errors and the identification of factors that are most relevant to the accuracy of mapping.
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