Potential of interpolation methods for modelling the spatial variability of soil parameters

L.D. Bejarano; D.A. Castañeda; L.R. Amaral

Potential of interpolation methods for modelling the spatial variability of soil parameters

于Precision agriculture '25

著者：

L.D. Bejarano

L.D. Bejarano
laura.bejarano@feagri.unicamp.br

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D.A. Castañeda

D.A. Castañeda

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L.R. Amaral

L.R. Amaral

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类型:: 章节

Page Range:: 909–915

DOI:: https://doi.org/10.1163/9789004725232_119

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Dar Hadith al Hassania

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Soil is highly variable, and an efficient survey requires consideration of the characteristics of the interpolation method and sampling density. The objective of this study was to analyse the impact of sampling density on the accuracy of different interpolation methods in a sugarcane area in Brazil, evaluating five interpolation techniques and three levels of sampling density. During the investigation, it was found that increasing sampling density does not always improve interpolation accuracy, while machine learning methods lost effectiveness due to the reduced number of samples. This highlights the importance of selecting an appropriate interpolation method to generate accurate maps based on the sampling characteristics and the study parameters.

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Precision agriculture '25

ISBN:: 9789004725232

出版社:: Wageningen Academic

印刷出版日期:: 18 Jun 2025

Subjects
- Life Sciences
  - General
  - Agriculture & Environment

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Potential of interpolation methods for modelling the spatial variability of soil parameters

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