Using hierarchical systems aggregation to model the value of information in agricultural systems: An application for climate forecast information

Michael A. Mazzocco, James W. Mjelde, Steven T. Sonka, Peter J. Lamb, Steven E. Hollinger

Research output: Contribution to journalArticlepeer-review

Abstract

The process of interdisciplinary research in aggregating sub-system models to model larger systems is disucussed and applied to valuing midwestern (USA) crop climate forecasts. Elements of climate forecast information schemes and characteristics of users and their environment which give rise to or restrict climate forecast information value in corn and soybean production are identified. Methods of varying these elements are applied to determine their effect on the value of climate forecast schemes.

Original languageEnglish (US)
Pages (from-to)393-412
Number of pages20
JournalAgricultural Systems
Volume40
Issue number4
DOIs
StatePublished - 1992

ASJC Scopus subject areas

  • Animal Science and Zoology
  • Agronomy and Crop Science

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