Optimal Information Acquisition under a Geostatistical Model
Optimal Information Acquisition under a Geostatistical Model
Date
1999-04-01
Authors
Pautsch, Gregory
Babcock, Bruce
Babcock, Bruce
Breidt, F. Jay
Babcock, Bruce
Babcock, Bruce
Breidt, F. Jay
Major Professor
Advisor
Committee Member
Journal Title
Journal ISSN
Volume Title
Publisher
Altmetrics
Authors
Babcock, Bruce
Person
Research Projects
Organizational Units
Center for Agricultural and Rural Development
Organizational Unit
Journal Issue
Series
Department
Center for Agricultural and Rural Development
Abstract
Develops a framework for incorporating estimation risk into a decision model to determine the optimal amount of soil test information when applying nitrogen fertilizer using a variable rate technology (VRT). Producers should acknowledge that the soil nitrate mapping is a collection of estimates and does not provide information at non-sampled sites. Switching from single rate technology to VTR is more plausible for fields with greatest soil nitrate variability.