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Smart IoT-Based Framework for Real-Time Food Adulteration Detection Towards Healthy Living

Smart IoT-Based Framework for Real-Time Food Adulteration Detection Towards Healthy Living
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Author(s): Eduard Babulak (National Science Foundation, USA), S. N. Kumar (Amal Jyothi College of Engineering, India), Neenu Rose Antony (Amal Jyothi College of Engineering, India), Nikki John Kannampilly (Amal Jyothi College of Engineering, India), Alan Biju (Amal Jyothi College of Engineering, India), Albert Joji (Amal Jyothi College of Engineering, India), Arunima Dilimone (Amal Jyothi College of Engineering, India)and Dejlo Shaju (Amal Jyothi College of Engineering, India)
Copyright: 2026
Pages: 26
Source title: Climate-Resistant Smart Agriculture for Healthy Food Production
Source Author(s)/Editor(s): Eduard Babulak (National Science Foundation, USA)
DOI: 10.4018/979-8-3373-4827-8.ch004

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Abstract

Food adulteration is an ongoing and dynamically increasing challenge to public health, economic authenticity, and food system confidence around the world. This survey provides an overview of recent developments in the detection of food adulteration, with special emphasis on the utilization of Internet of Things (IoT) technologies and machine learning strategies for real-time inspection and analysis. The research classifies adulterants, impacted food products, and related health effects, as well as examines traditional and novel detection methods such as spectroscopy, chromatography, and sensor-based systems critically. Focus is given to IoT-based frameworks that employ an assortment of physical and chemical sensors for decentralized and autonomous adulteration identification. In addition, the chapter compares current implementations, limitations in sensor calibration, data accuracy, standardization, and the lack of region-specific datasets for machine learning model training. Through an outline of the present technological state and an enumeration of research priorities, including the interoperability, regulatory support, and data privacy, this research is targeted at future developments toward scalable, cost-efficient, and smart food safety solutions. The survey highlights the revolutionary role of smart technologies in restructuring food quality assurance and safeguarding consumer health in developed and developing settings.

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