SUBSTANTIATION OF REQUIREMENTS FOR THE STRUCTURAL AND ALGORITHMIC ORGANIZATION OF AN IOT MONITORING SYSTEM FOR SOIL AND CLIMATE PARAMETERS IN AGRICULTURAL CROP ENTERPRISES

Abstract

Relevance. As one of the key sectors of the global economy, agriculture plays a decisive role in shaping sustainable economic development and ensuring food security worldwide. Achieving satisfactory indicators of food security and the export potential of agricultural products is a domestic priority for economic recovery and sustainable development. Accordingly, the development and implementation of modern digital technologies in agriculture becomes a strategically important task. The utilization of cutting-edge technologies for the agricultural sector, coupled with the improvement of cultivation and processing methods for agricultural crops, is a key element in ensuring the resilience and efficiency of the industry. The main aim is to conduct a critical analysis of existing solutions in the field of information monitoring for agricultural purposes. This analysis will allow the development of an optimized structural and algorithmic organization for the computerized system. This system is designed to implement effective monitoring and decision support for managing agricultural processes. The research object is existing approaches and methods for organizing monitoring systems in the agricultural sector to collect, transmit, and process measurement data. The research subject is information and communication software and hardware solutions in the field of computerized monitoring for agricultural purposes. Conclusions. It has been substantiated that the development and implementation of conceptual software and hardware solutions in information technology for monitoring soil and climatic parameters when cultivating agricultural crops in open-field conditions are currently a relevant scientific and applied task. The set of requirements for the structural and algorithmic organization of the IoT technology for soil and climatic monitoring has been substantiated. An analysis and selection of technologies on which the investigated hardware and software solution will be based have been carried out. The overall and detailed structural and algorithmic organization of the investigated IoT system for agrotechnical monitoring has been developed, and priority directions for further research have been established.