Abstract
With the accelerated penetration of new-generation information technologies such as big data and artificial intelligence applied in various fields, scientific research has entered a new paradigm of data-intensive scientific research, and higher requirements have been put forward for scientific research informatization. The development of modern agriculture in China is inseparable from the support of agricultural technological innovation, and agricultural technological innovation is inseparable from professional, efficient and precise knowledge services. Under the new environment of data-intensive scientific research, agricultural technological innovation has put forward new demands for knowledge discovery and knowledge services. Based on agricultural sci-tech big data and the new-generation information technology, an agricultural intelligent knowledge service platform with sci-tech big data was built, which can store, manage, analyze, mine and release agricultural sci-tech information resources and release the value of knowledge, it can also provide research data management services for scientific research institutes and researchers through building of collaborative environment for scientific research, and assist in improving the efficiency of scientific research, thereby promoting the development of agricultural scientific research innovation. The objective needs and construction background of the agricultural intelligent knowledge service platform with sci-tech big data were analyzed, the key technologies and construction results of the platform were introduced in detail, and the future service scenarios and applications of agricultural intelligent knowledge services were prospected.
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Acknowledgements
This work was partially supported by National Key R&D Program of China(2021ZD0113705) . Furthermore, we thank the anonymous experts for their constructive comments.
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Zhao, R., Zhao, H., Zheng, J., Jiang, L. (2024). Construction and Application of Data Intensive Knowledge Service Platform for Agricultural Scientific Research. In: China’s e-Science Blue Book 2023. Springer, Singapore. https://doi.org/10.1007/978-981-99-8270-7_9
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DOI: https://doi.org/10.1007/978-981-99-8270-7_9
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