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Abstract
Classified marketing of agricultural products was analyzed using the Logistic Regression Model. This method can take full advantage of information in agricultural product database, to find factors influencing best selling degree of agricultural products, and make quantitative analysis accordingly. Using this model, it is also able to predict sales of agricultural products, and provide reference for mapping out individualized sales strategy for popularizing agricultural products.