Optimal Sampling Under a Geostatistical Model

Gregory Pautsch, Bruce Babcock and F. Breidt

Center for Agricultural and Rural Development (CARD) Publications from Center for Agricultural and Rural Development (CARD) at Iowa State University

Abstract: Soil sampling has long been advocated as a means of improving the efficiency of fertility management decisions by better matching fertilizer applications with crop nutrient requirements and nutrient availability. Advances in mapping and sensing technologies have renewed interest in soil sampling as a means of moving to variable rate technologies (VRT) whereby a farmer varies fertilizer applications across space and/or time. This paper develops a framework for determining the optimal number of soil samples when applying nitrogen fertilizer under a variable rate program.

Date: 1998-10
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.card.iastate.edu/products/publications/pdf/98wp200.pdf Full Text (application/pdf)
https://www.card.iastate.edu/products/publications/synopsis/?p=236 Online Synopsis (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ias:cpaper:98-wp200

Access Statistics for this paper

More papers in Center for Agricultural and Rural Development (CARD) Publications from Center for Agricultural and Rural Development (CARD) at Iowa State University Contact information at EDIRC.
Bibliographic data for series maintained by ().