Development of an Information Research Platform for Data-Driven Agriculture

نویسندگان

چکیده

Comprehensive research data are acknowledged as a necessity for acceleration. Research institutes and universities engaged in developing management systems. The National Agriculture Food Organization of Japan (NARO) developed NARO-linked databases (Narolin DBs) addition to supercomputer. In the Narolin DB various on agriculture cataloged using common metadata. relationship between complicated natural science is described RDF, property graph, or RDB format facilitate application statistical analysis machine learning. Our system unique that it connected catalog, private cloud database, supercomputer analysis, data/service portal business applications, such pipeline. Through development agricultural information platforms, NARO will accelerate data-driven at stages supply chain, ranging from genome plant breeding, cultivation, food processing, distribution.

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ژورنال

عنوان ژورنال: International Journal of Agricultural and Environmental Information Systems

سال: 2022

ISSN: ['1947-3206', '1947-3192']

DOI: https://doi.org/10.4018/ijaeis.302908