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@article{199310,
        author = {Renuka Ballal},
        title = {IoT-AI Food Freshness Monitoring System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {11474-11480},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=199310},
        abstract = {This research proposes a Smart Food Monitoring System that integrates IoT sensors and AI-based image recognition to detect spoilage and ensure food quality in real-time. The system combines environmental sensors—such as gas, temperature, humidity, and motion—with a deep learning model based on Convolutional Neural Networks (CNNs) to assess food freshness visually. Data fusion from sensors and images provides accurate, early detection of spoilage, reducing food waste and enhancing consumer safety. A web application is developed to visualize data and generate alerts, offering a cost-effective and scalable solution for real-time food monitoring.},
        keywords = {Smart Food Monitoring, IoT Sensors, AI-Based Image Recognition, Food Spoilage Detection, CNN, Sensor Fusion, Food Safety.},
        month = {April},
        }