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Highlights • An algorithm for determining optimal sampling locations was developed.• It is based on multifunctional matching (MFM) using multiple known covariates.• MFM was tested in a peach orchard and… Click to show full abstract
Highlights • An algorithm for determining optimal sampling locations was developed.• It is based on multifunctional matching (MFM) using multiple known covariates.• MFM was tested in a peach orchard and a vineyard using easily acquired variables.• MFM performs well in representing the population distribution by a small sample.• Better results were shown in the field with higher spatial variability.
Keywords:
matching algorithm;
design agricultural;
algorithm sample;
multifunctional matching;
agricultural plots;
sample design
Journal Title: Computers and Electronics in Agriculture
Year Published: 2021
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Journal Title: Computers and Electronics in Agriculture
Year Published: 2021
Link to full text (if available)
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recommendations!