In this paper, the theory and construction methods of four models are presented for predicting the vegetable market price, which are BP neural network model, the neural network model based on genetic algorithm, RBF neural network model and an integrated prediction model based on the three models above. The four models are used to predict the Lentinus edodes price for Beijing Xinfadi wholesale market. A total of 84 records collected between 2003 and 2009 were fed into the four models for training and testing. In summary, the predicting ability of BP neural network model is the worst. The neural network model based on genetic algorithm was generally more accurate than RBF neural network model. The integrated prediction model has the best results.
Abstract. New farmers training is the key to solve the problem of "Three Rural Issues". This article is mainly research to the s training goal, training content, and training way of Beijing new farmer under the new situation, analyses the convenient and restricted factors, put forward by the countermeasures of training, to provide the decision basis for the new farmers training.
A questionnaire survey was carried out on the theme of the demand for agricultural information service in the suburbs of Beijing. On the basis of the investigation, the demand of agricultural information service in the suburb of Beijing was analyzed, and the suggestions on the agricultural information service were put forward in combination with the actual situation.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.