Abstract
Consideration has been given to the issues of creation of the information system for simulation and optimization of crop irrigation parameters, and logical database development model. The domain area of irrigated crop growing as well as the need for consideration of agricultural melioration parameters has been analyzed. 11 basic entities have been identified; their hierarchy and attributive characteristics have been defined. Logical relationships between entities have been established. The obtained attributive logical database model includes entities, attributes and relationships identified during the analysis of the domain area. The key attributes of entities of the database have been identified. Developed conceptual and logical database models made it possible to create a physical analog of the information system, focused on the support of managerial decision making for the simulation modeling of the consumptive water use of cultivated crops.
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References
Pronko, N. A. (2010). The application of geoinformation technology for solid modeling of water-salt schedule of irrigated land of the dry steppe zone of the Volga region. Pronko, N. A., Falkovich, A. S., Korsak, V. V. Agrarnyi Nauchnyi Zhurnal (No. 9, pp. 13–16).
Gagarin, A. G. Optimization and operational management of crop irrigation technology for the projected yield. In Gagarin, A. G., Rogachev, A. F (Eds.), Certificate of state registration of computer program No. 2008613351.
Roland, F. D. (2002). Basic database concepts: Translated from English (256 p). M.: Williams Publishing House.
Harrington, J. L. (2006). Relational database design.–M. (231 p). Lori Publishing House.
Delobel, C., Lecluse, C., & Richard, P. (1995). Databases: From relational to object-oriented systems, International Thomson Computer Publishing.
Kruzhilin, I. P., Ovchinnikov, A. S., Kuznetsova, N. V., (…), Fomin, S. D., Bocharnikov, V. S., Vorontsova, E. S. (2018). Water pressure monitoring in irrigation piping as quality management tools of sprinkler irrigation. ARPN Journal of Engineering and Applied Sciences, 13(13), 4181–4184.
Kogalovskiy, M. R. (2002). Encyclopedia of database technology (800 p). M.: Finansy i Statistika Publishing House.
Melikhova, E. V. (2015). Mathematical simulation and software implementation of the performance level of farmlands using the fuzzy inference method [Digital resource]. Sovremennyie Problemy Nauki i Obrazovaniya (No. 2–2). Access mode: http://www.science-education.ru/129-21438.
Kuznetsov, S. D. (2007). The fundamentals of databases. 2nd edition. M.: Internet University of information technology (484 p). BINOM. Laboratoriya Znaniy Publishing House.
Rogachev, A. F. (2009). Software for the decision support system based on GIS technology. Bulletin of the Nizhnevolzhsky Agricultural Multiversity: Science and Highest Vocational Education, 2, 144–151.
Rogachev, A. F., & Shubnov, M. G. (2012). Assessment of anticipated level of crop yield based on connectionist dynamic models. Bulletin of the Nizhnevolzhsky Agricultural Multiversity: Science and Highest Vocational Education, 4, 226–231.
Katkov, K. A., Pashintsev, V. P., & Katkov, E. K. (2016). Information system for monitoring of ionosphere. Bulletin of the Samara Research Center of the Russian Academy of Sciences. Social, Human, Medical And Life Science, 18(2), 907–912.
Rogachev, A. F. (2017). Information technology of cognitive modeling of industrial and investment self-development of the medium-sized and single-industry towns. In Rogachev, A. F., Melikhova, E. V., Shokhnekh, A. V. Revista ESPACIOS. (Vol. 38, Nº. 27, p. 4).
Gagarin, A.G., Rogachev, A.F., & Melikhova, E.V. (2017). Certificate of official registration of database “Parameters for the design of crop irrigation schedules with due account for heat and water supply in the region. No. 2017620719 oт 04.07.2017.
Melikhova, E. V. (2017). Development of the decision support system in the selection of the crop irrigation schedule. In Melikhova, E. V., Gagarin, A. G. (Eds.), Research envelope in agriculture: a bedside approach: proceedings of the National Research-to-Practice Conference, (pp. 181–187), Volgograd, November 10, 2017—Volgograd: Volgograd State Agrarian University, Part 2.
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Melikhova, E.V., Rogachev, A.F., Skiter, N.N. (2019). Information System and Database for Simulation of Irrigated Crop Growing. In: Popkova, E. (eds) Ubiquitous Computing and the Internet of Things: Prerequisites for the Development of ICT. Studies in Computational Intelligence, vol 826. Springer, Cham. https://doi.org/10.1007/978-3-030-13397-9_121
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DOI: https://doi.org/10.1007/978-3-030-13397-9_121
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