THE USE OF BIG DATA PROCESSING IN A DIGITALIZED AGRO-INDUSTRY SYSTEM
Keywords:
BigData, API, system, contours, agro-industry, NDVI, interface, machine learning, classification, geofields, statistical analysis.Abstract
Despite the fact that the 21st century is called the age of information technology and information society, agrarian technology and the cultivation of agricultural products necessary for the needs of people remain an urgent issue in all countries of the world. Only, as mentioned above, in the 21st century, the quality, accuracy and other characteristics of agricultural production can be affected by using modern information technologies and information society using its inventions and sciences. This article provides information on the application of big data analysis in a digitalized agro-industry system.
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R.A.Gulyaev. A.A.Sultonov, R.F.Yunusov, D.R.Rafikov. on the development of a system for digital remote monitoring of agricultural land. The American Journal of Agriculture and Biomedical Engineering. ISSN – 2689-1018. VOLUME 04 ISSUE 03 Pages: 42-49.
R.A.Gulyaev, A.A.Sultonov, H.B.Ismoyilov. Comprehensive hardware and software approach to digitalization of agricultural industry. GALAXY INTERNATIONAL INTERDISCIPLINARY RESEARCH JOURNAL (GIIRJ) ISSN (E): 2347-6915. Vol. 9, Issue 12, Dec. (2021).
Sh.T. Shukurov, U.M. Ibragimov. Algorithms of the Systems of Big Data Storage and Analysis. European Journal of Innovation in Nonformal Education(EJINE) Volume 2| Issue 5| ISSN:2795-8612. 149-153 pp.
Sh.T. Shukurov, U.M. Ibragimov. Architecture for building the systems of storage and analysis of BIG DATA. "Economics and society" №5(96) 2022(www.iupr.ru).
Ж.Ю. Саидов, У.М.Ибрагимов, К.Х. Гафуров, Математический анализ и алгоритм автоматизации процесса сортировки фруктов. Современные научные исследования и инновации. eISSN: 2223-4888.
Perri Lea. Internet of Things for Architects. ДМК Издательства. Москва. 2019. -455 с.
Vinit Yadav. Processing Big Data with Azure HDInsight. Building Real-World Big Data Systems on Azure HDInsight Using the Hadoop Ecosystem. APress. Ahmedabad, Gujarat, India. 2017. -221 p.
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