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Limited fuel availability is a critical factor in the marketability of new fuels. A survey of us households is used to estimate the value of fuel availability and its influence on choice of fuel for a fuel-flexible vehicle and the choice of a dedicated-fuel engine for a vehicle. The marginal value of availability decreases as the percent of stations offering a new fuel increases. For fuel-flexible vehicles the cost of lack of availability decreases from us $0.35/gallon at 1% to US $0.02/gallon when 50% of stations offer the fuel.

This model was developed at Idaho National Laboratory and focuses on crop production. This model is an agricultural cultivation and production model, but can be used to estimate biomass crop yields.

The Decision Support System for Agriculture (DSS4Ag) is an expert system being developed by the Site-Specific Technologies for Agriculture (SST4Ag) precision farming research project at the INEEL. DSS4Ag uses state-of-the-art artificial intelligence and computer science technologies to make spatially variable, site-specific,
economically optimum decisions on fertilizer use. The DSS4Ag has an open architecture that allows for external input and addition of new requirements and integrates its results with existing agricultural systems’ infrastructures. The DSS4Ag reflects a paradigm shift in the information revolution in agriculture that is precision farming.