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.

the objective of this study was to evaluate the use of remotely sensed data as auxiliary variables in the block cokriging (BCOK) modeling of coffee yield characterized by the presence of outliers.

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Bibliographic Details
Main Authors: SILVA, C. de O. F., GREGO, C. R., MANZIONE, R. L., OLIVEIRA, S. R. de M.
Other Authors: CÉSAR DE OLIVEIRA FERREIRA SILVA, UNIVERSIDADE ESTADUAL DE CAMPINAS; CELIA REGINA GREGO, CNPTIA; RODRIGO LILLA MANZIONE, UNIVERSIDADE DE SÃO PAULO; STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA, UNIVERSIDADE ESTADUAL DE CAMPINAS.
Format: Artigo de periódico biblioteca
Language:Ingles
English
Published: 2024-01-19
Subjects:Cokrigagem, Variograma, Agricultura digital, Dados de satélite, Geoestatística, Coffee yield, Cokriging, Variogram, Digital agriculture, Café, Coffea Arábica, Agricultura de Precisão, Sensoriamento Remoto, Precision agriculture, Remote sensing, Geostatistics,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1161056
https://doi.org/10.3390/agriengineering6010006
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Internet

http://www.alice.cnptia.embrapa.br/alice/handle/doc/1161056
https://doi.org/10.3390/agriengineering6010006

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