Information on within-field variability from sequences of yield maps: multivariate classification as a first step of interpretation

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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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