Agricultural production managed is an effective way to promote the service scale operation and accelerate the organic connec-tion between small farmers and modern agricultural production;therefore,it is of great significance to explore what kind of agricultural production managed model has more advantages.Based on the single-link,multi-link and whole-process managed models,this paper takes the agricultural production managed situation in Heilongjiang Province as the data base,and utilizes the BP neural network and obstacle model to comprehensively evaluate different agricultural production managed models and explore their influencing factors.The results show that the whole-process managed model has better comprehensive performance.The common factors affecting the differences among the three models are manifested in the economic criterion layer,which indicates that economy is the key to improving the com-prehensive performance of agricultural production managed,and the whole-process agricultural production managed is mainly affected by the mu income,and less affected by other factors.Accordingly,countermeasures such as appropriately promoting the whole-process managed model are proposed.
关键词
农业生产托管/综合评价/影响因素分析/BP神经网络/障碍度模型
Key words
agricultural production managed/comprehensive evaluation/influencing factor analysis/BP neural network/obstacle model
维普
万方数据