The article is dedicated to monitoring and researching the environmental condition of areas that have the status of nature-reserved. The work describes the creation of an information system with elements of artificial intelligence for studying the environmental condition of nature-reserved territories. As a result of the analysis of monitoring data, primary data for work was identified, and a database was formed. Special attention is paid to the description of the information model of the object and the indicators selected for its adequate functioning. The built-in artificial intelligence system will be trained based on the formed model to improve the speed and quality of determining the state of the reserve area. Great attention will be paid to the ability to quickly and seamlessly receive data from sensors. The template-optimized code for sending data from sensors will easily help to quickly transmit large volumes of data, and the formed dynamic user interface model will allow administrators to increase the system's capabilities depending on their needs. The chosen technologies for creating the information system, microservices, Apache Kafka event streaming platform, and Confluent Platform are analyzed. The research results are presented in the form of a developed and tested information system.
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