Improving Coffee Yield Interpolation in the Presence of Outliers Using Multivariate Geostatistics and Satellite Data

Improving Coffee Yield Interpolation in the Presence of Outliers Using Multivariate Geostatistics and Satellite Data

Precision agriculture for coffee production requires spatial knowledge of crop yield. However, difficulties in implementation lie in low-sampled areas. In addition, the asynchronicity of this crop adds complexity to the modeling. It results in a diversity of phenological stages within a field and al...

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Bibliographic Details
Main Authors: César de Oliveira Ferreira Silva, Celia Regina Grego, Rodrigo Lilla Manzione, Stanley Robson de Medeiros Oliveira
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:AgriEngineering
Subjects:
<i>Coffea arabica</i> L.
precision agriculture
cokriging
variogram
Online Access:https://www.mdpi.com/2624-7402/6/1/6

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