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Applications--Agriculture

F.gif (959 bytes)arming used to be about physical tasks such as planting, plowing and harvesting, although nowadays, knowledge of agricultural economics is crucial in order to make a living.  Is it better to store or sell your harvest, when should you deliver it, and when should you set the price, at delivery or sale? All these variables, along with price uncertainties, commodity markets, and joint marketing alternatives can have a tremendous impact on the selling price of the crop.  Also, other factors such as interest rates, storage charges, and general market conditions determine the risk of selling or storing a crop.  The farmer needs the computational power of a mathematician, the number-crunching power of an accountant, and the skills of an economist to make heads or tails of the competitive agricultural market.  This is where artificial intelligence is introduced.

The Grain Market Advisor(GMA) expert system was produced in Purdue University, by team of engineers and domain experts through grant from the U.S. Department of Agriculture.  This system helps farmers determine the best method of marketing the grain they produce.  During a consultation with GMA, grain price history information is retrieved from a dial-up commercial database.  The system uses this price information to help predict future price trends, which are displayed to the user.  Utilizing this information, GMA helps decide which risk-sharing strategies are relevant, and then tests them to see if they can be used in the current situation.  The system's interface is designed to be used by farmers, who are usually not acquainted with computer technology by utilizing graphics and a simple presentation format.(Edmunds  360)

 
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