Abstract: [Purpose/Significance] To solve the problem of unbalanced supply and demand of agricultural Sci-Tech knowledge services in the big data environment, this paper proposed a "data + demand" driven knowledge service supply model. [Method/Process] The proposed model contains a knowledge service system model for different application scenarios and a technical supporting system with convergence of multi-source heterogeneous agricultural science and technology big data, knowledge computing and intelligent services as links. [Results/Conclusions] We developed a multi-scenario agricultural knowledge service system characterized as "Inclusive + Specialized + Customized", by addressing the key technologies of agricultural Sci-Tech big data integration and knowledge service, and thus provided differentiated, accurate and in-depth knowledge services for users of multiple types, levels and disciplines. The agricultural knowledge service system helps address the contradiction between supply and demand of knowledge services, and meet the need of inclusive & personalized knowledge service simultaneously to a certain extent.

Key words: agricultural Sci-Tech big data, knowledge service, specialized service, personalized service