From Data To Information: The Value Of Sampling Vs. Sensing Soil Data
A conceptual model is developed to measure the value of information from in-field soil sensing technologies as compared with grid and other soil sampling methods. Soil sensing offers greater spatial accuracy and the potential to apply inputs such as nitrogen fertilizer immediately, avoiding changes in nutrient status that occur with delays between soil sampling and fertilizer application. By contrast, soil sampling offers greater measurement accuracy, because it does not rely on proxy variables such as electrical conductivity to infer nutrient status. The average profitability and relative riskiness of soil sensing versus sampling depend upon 1) the trade-off between, on the one hand, the spatial and temporal accuracy of sensing and, on the other hand, the measurement accuracy of sampling, 2) the cost of data collection, and 3) input and product prices. Similar trade-offs govern the relative riskiness of sensing versus sampling.
|Date of creation:||1998|
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- Bruce A. Babcock & Alicia L. Carriquiry & Hal S. Stern, 1996. "Evaluation of Soil Test Information in Agricultural Decision Making, An," Center for Agricultural and Rural Development (CARD) Publications 96-wp147, Center for Agricultural and Rural Development (CARD) at Iowa State University.
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- Babcock, Bruce A. & Blackmer, Alfred M., 1992. "The Value Of Reducing Temporal Input Nonuniformities," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 17(02), December.
- Babcock, Bruce A. & Carriquiry, Alicia L. & Stern, Hal S., 1996. "Evaluation of Soil Test Information in Agricultural Decision-Making," Staff General Research Papers Archive 1139, Iowa State University, Department of Economics.
- Meyer, Jack, 1987. "Two-moment Decision Models and Expected Utility Maximization," American Economic Review, American Economic Association, vol. 77(3), pages 421-30, June.
- Auld, Douglas A L, 1972. "Imperfect Knowledge and the New Theory of Demand," Journal of Political Economy, University of Chicago Press, vol. 80(6), pages 1287-94, Nov.-Dec..
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