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This article is cited in 1 scientific paper (total in 1 paper)
Information Technologies and Telecommunications
Development of expert systems to improve the efficiency
of growing plants in agriculture
M. A. Shereuzhevaab, M. A. Shereuzhevc a Institute of Computer Science and Problems of Regional Management –
branch of Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences,
360000, Russia, Nalchik, 37-a I. Armand street
b Moscow State University of Technology "STANKIN",
127055, Russia, Moscow, 1 Vadkovsky lane
c Moscow State Technical University named after N. E. Bauman,
105005, Russia, Moscow, Bld 5/3 Baumanskaya street
Abstract:
The article discusses a promising way to improve the productivity of agriculture, namely
main problems of developing and implementing expert decision support system. The article proposes
the structure of an agriculture expert system for determining plant diseases and considers the issues of
representing professional knowledge as part of a recommender system with the help of an ontological
knowledge base. The interface of the expert system in the form of a web application is described, and
a variant of the interaction of the elements of the recommender system with the web application
is implemented.
Keywords:
expert systems, knowledge bases, recommender systems in agriculture, expert systems,
knowledge bases, recommender systems in agriculture, web application development, information technology.
Received: 29.09.2022 Revised: 10.10.2022 Accepted: 14.10.2022
Citation:
M. A. Shereuzheva, M. A. Shereuzhev, “Development of expert systems to improve the efficiency
of growing plants in agriculture”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2022, no. 5, 93–104
Linking options:
https://www.mathnet.ru/eng/izkab507 https://www.mathnet.ru/eng/izkab/y2022/i5/p93
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Abstract page: | 46 | Full-text PDF : | 15 | References: | 16 |
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