Evaluating the Agricultural Information Degree Using a Novel Genetic Algorithm

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. In order to evaluate the agricultural information degree scientifically and accurately, this paper proposes the optimal model based on improved genetic algorithm. The model has the advantages of self-learning, self-organizing and self-adapting, avoids the subjective mistakes in the evaluation process, and improves the evaluating accuracy greatly. The evaluation of 5 cities in Hebei Province shows that the results given by this model are reliable, and this method to evaluate the agricultural information level is feasible.