Using hierarchical systems aggregation to model the value of information in agricultural systems: An application for climate forecast information
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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. © 1992.
author list (cited authors)
Mazzocco, M. A., Mjelde, J. W., Sonka, S. T., Lamb, P. J., & Hollinger, S. E.