IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE AND IOT TECHNOLOGIES IN INTELLIGENT MEASURING SENSOR SYSTEMS FOR VEGETABLE OIL PRODUCTION

The article presents a systematic overview of modern approaches to integrating artificial intelligence (AI) and the Internet of Things (IoT) technologies into intelligent measuring sensor systems, with a focused application in vegetable oil production. Architectural models, data processing methods, machine learning algorithms, energy efficiency, security, and scalability issues are examined in detail. Applications in industry, energy, transport, medicine, and smart city systems are analyzed for broader context, while special attention is devoted to the unique requirements of vegetable oil processing stages, including raw material reception and quality assessment, seed cleaning and conditioning, mechanical pressing or solvent extraction, refining (degumming, neutralization, bleaching, deodorization), quality control (acidity, peroxide value, color, clarity, oxidative stability), and final storage and packaging. Particular emphasis is placed on the Edge AI and TinyML concepts, which ensure the transfer of intelligent processing directly to the sensor level, enabling real-time decision-making with minimal latency. The prospects for the development of neuromorphic computing, self-sustaining sensory nodes, and seamless integration with 5G/6G infrastructure are thoroughly substantiated, highlighting their potential to enhance sustainability, product quality, and operational efficiency in the vegetable oil industry.