ICCK

Tila Muhammad

Department of Computer Science, Islamia College Peshawar, Peshawar 25120, Pakistan.

Section 01

Academic Profile

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Section 02

Editorial Roles

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Section 03

ICCK Publications

Open Access | Research Article | 30 June 2025 | Cited: Crossref logo  9 , Scopus 9
IoT-Enabled Food Freshness Detection Using Multi-Sensor Data Fusion and Mobile Sensing Interface
ICCK Transactions on Sensing, Communication, and Control | Volume 2, Issue 2: 122-131, 2025 | DOI: 10.62762/TSCC.2025.401245
Abstract
Ensuring the freshness of food products is essential for both acute and chronic health outcomes. However, significant health risks can be triggered by dietary resources subjected to improper storage protocols. Current methods are often unreliable and infeasible for detecting food freshness. This research proposes an IoT-based food freshness detection system that integrates a suite of electrochemical and gas sensors-including pH, moisture, and ethanol sensors-to assess food freshness and reduce health risks associated with spoilage in perishable items like meat, produce, and dairy. The system is integrated with a mobile application that allows users to analyze food quality in real-time, bas... More >

Graphical Abstract
IoT-Enabled Food Freshness Detection Using Multi-Sensor Data Fusion and Mobile Sensing Interface