Abstract
It is shown that automated pattern recognition applied to a series of yield maps can be used to divide a field into regions within which yields show similar between-season variation. These regions are associated with particular soil types. Such a regionalisation may be a useful way of recognising important within-field scales of variability, and may be a useful first step in interpretation to develop a management response.
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© 1998 Springer Science+Business Media Dordrecht
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Lark, R.M., Stafford, J.V. (1998). Information on within-field variability from sequences of yield maps: multivariate classification as a first step of interpretation. In: Finke, P.A., Bouma, J., Hoosbeek, M.R. (eds) Soil and Water Quality at Different Scales. Developments in Plant and Soil Sciences, vol 80. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-3021-1_27
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DOI: https://doi.org/10.1007/978-94-017-3021-1_27
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-5012-0
Online ISBN: 978-94-017-3021-1
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