Data/hora: 12/06/2024 06:52:23

Provedor de dados: | 31
País: | United States
Título: | Optimal Information Acquisition under a Geostatistical Model
Autores: | Pautsch,   Gregory R.; Babcock,   Bruce A.; Breidt,   F. Jay.
Data: | 2006-07-31
Ano: | 1999
Palavras-chave: | Estimation risk; Geostatistics; Nitrogen fertilizer; Optimal sample sizes; Precision farming; Single rate technology; Variable rate technology; Variogram; Research Methods/ Statistical Methods.
Resumo: | Studies examining the value of switching to a variable rate technologies (VRT) fertilizer program assume producers possess perfect soil nitrate information. In reality, producers estimate soil nitrate levels with soil sampling. The value of switching to a VRT program depends on the quality of the estimates and on how the estimates are used. Larger sample sizes, increased spatial correlation, and decreased variability improve the estimates and increase returns. Fertilizing strictly to the estimated field map fails to account for estimation risk. Returns increase if the soil sample information is used in a Bayesian fashion to update the soil nitrate beliefs in non-sampled sites.
Tipo: | Conference Paper or Presentation
Idioma: | Inglês

Identificador:

23186

http://purl.umn.edu/18358

Editor: | AgEcon Search

Relação:

Iowa State University&gt;Center for Agricultural and Rural Development&gt;CARD Working Paper Series

CARD Working Paper 99-WP 217

Formato:

31

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