A simple method for filtering spatial data

M. Spekken; A.A. Anselmi; J.P. Molin

A simple method for filtering spatial data

于Precision agriculture '13

著者：

M. Spekken

M. Spekken ¹Biosystems Engineering Department, University of São Paulo, Piracicaba, SP, Brazil; mspekken@usp.br

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A.A. Anselmi

A.A. Anselmi ²Crop Science Department, University of São Paulo, Piracicaba, SP, Brazil

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, and

J.P. Molin

J.P. Molin ¹Biosystems Engineering Department, University of São Paulo, Piracicaba, SP, Brazil; mspekken@usp.br

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类型:: 章节

Page Range:: 259–266

DOI:: https://doi.org/10.3920/9789086867783_032

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Sensors applied in agricultural fields collect large amounts of spatial data needed for intervention and decision making, but this may come with a considerable quantity of defective data. The aim of this study was to develop a generic method able to identify and filter out erroneous data points that are inconsistent with their neighbouring points. The method identifies groups of points within a range of one point and retrieves the variation of a target value associated with these, and a variation threshold defines the suitability of the point. This method was implemented in an algorithm where case studies were inserted. For filtering yield data, while comparing with filter procedures using upper and lower limits, the proposed method was effective in excluding inconsistent points of their neighbours and identified different types of errors as productivity null, wrong set of platform width, and lag/fill modes in headlands. The filters also showed capable of reducing noise in output maps and show potential to smooth boundaries of cluster areas and retrieve higher uniformity within this. Despite the simplicity of parameters in the method, these must still require some calibration for usage.

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Precision agriculture '13

ISBN:: 9789086867783

出版社:: Wageningen Academic

印刷出版日期:: 01 Nov 2013

Subjects
- Life Sciences
  - General
  - Agriculture & Environment

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A simple method for filtering spatial data

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