Intelligent Sensor Platforms as Sustainable Competitive Intelligence Systems for Strategic Natural Resource Management

Анотація

Purpose: To examine the role of Internet of Things (IoT) technologies in enhancing environmental monitoring and enabling the precise management of natural resources within sustainability frameworks. Methodology/approach: The study employs a systematic review of scientific literature, case study analysis, and general scientific methods (analysis, synthesis, induction, deduction), combined with a comparative assessment of IoT platforms, sensor types, software tools, and policy documents at national and European levels. Originality/Relevance: The research emphasizes the integrated use of IoT sensors, cloud computing, and data analytics as a holistic mechanism for real-time environmental monitoring and evidence-based decision-making. Key findings: IoT-based systems allow continuous monitoring of environmental indicators, early detection of risks, and improved data accuracy. Cloud technologies enhance storage and processing, while machine learning increases predictive capabilities. Nonetheless, adoption remains limited due to high costs, lack of standardization, and infrastructure constraints. Theoretical/methodological contributions: The study systematizes the application of IoT in environmental management, demonstrating its potential to advance eco-innovation, optimize resource allocation, and support the development of effective environmental policies and governance strategies.

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