Abstract:The kernel of agricultural informatization is information service which should satisfy the needs of specialization, individualization, low cost, and sustainability. The difficulties and bottleneck in agricultural informatization mainly include the following aspects. At first, because of complex agricultural production environment, it is difficult to acquire agricultural production information rapidly and precisely at a low cost in large area. Secondly, due to the highly dispersed agricultural production process, the current information technology is not sufficient to cope with large scale, heterogeneous, and distributed agricultural big data. Finally, it is hard to capture millions of different agricultural users’information needs. Therefore, to challenge the above problems we are facing, we proposed several coping strategies. Firstly, concentrate efforts to break through the key technologies of agricultural sensors and develop a series of related equipments, breaking up the monopoly of foreign countries. Secondly, speed up the application of cloud computing and big data technologies in agricultural domain and develop large-scale agricultural database & knowledgebase manage systems to cope with agricultural data intelligently. Thirdly, based on international data resources description framework, establish agricultural information resources description standards and data resources pricing mechanisms to realize the standard, market-based, and sustainable agricultural data resources construction.