Research on Indices System and Evaluating Model of Agricultural Information Degree in Heibei Province

摘要

The agricultural information level is on the initial stage in Hebei province, so we should pay more attention to its construction. And on this basis we can find out the influencing factors and corresponding countermeasures. This paper constructs the indices system and the evaluating model based on improved BP neural network algorithm for the agricultural information degree. The improved model not only can simulate the expert in evaluating the agricultural information degree and avoiding the subjective mistakes in the evaluation process, but also enhance the learning accuracy and the algorithm convergence speed greatly. The evaluation of 11 cities in Hebei province shows that the method to evaluate the agricultural information degree is reliable.