|
This article is cited in 1 scientific paper (total in 1 paper)
System analysis, management and information processing
Data visualization system for intelligent expert system
of active plant protection
A. M. Ksalova, K. Ch. Bzhikhatlovb, S. A. Kankulova, B. A. Atalikova, A. Z. Enesa a Institute of Computer Science and Problems of Regional Management –
branch of Federal public budgetary scientific establishment "Federal scientific center
"Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences", Nal'chik, 360000, Russia, Nalchik, 37-a I. Armand street
b Federal State Budget Scientific Establishment "Federal Scientific Center “Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences", Nalchik, 360010, Russia, Nalchik, 2 Balkarov street
Abstract:
The development of a data visualization system for an intelligent integrated expert system
for active plant protection is described in this article. In addition, the structure of the databases used and
the proposed site design are described in the article. The server, which has access to autonomous agrorobots and to the end user, is responsible for data aggregation and processing. The data visualization system is implemented as a website. The developed data visualization system will make it possible to collect
data from robots and weather stations, visualize data on the state of crops and weather, and control autonomous robots. The output of data over maps obtained from geographical information systems will make it
possible to control the spatial and temporal distribution of the state of crops and weather.
Keywords:
data visualization, databases, agricultural monitoring, smart field.
Received: 15.03.2022 Accepted: 14.04.2022
Citation:
A. M. Ksalov, K. Ch. Bzhikhatlov, S. A. Kankulov, B. A. Atalikov, A. Z. Enes, “Data visualization system for intelligent expert system
of active plant protection”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2022, no. 2, 22–30
Linking options:
https://www.mathnet.ru/eng/izkab426 https://www.mathnet.ru/eng/izkab/y2022/i2/p22
|
Statistics & downloads: |
Abstract page: | 59 | Full-text PDF : | 33 | References: | 11 |
|