• Prof. Smita Thakare
• Payal Jadhav
• Gauri Wagh
• Snehal Rajnor

Food waste is a pressing global issue, with one-third of the food produced globally being wasted, amounting to approximately 1.3 billion tons of edible food. Excessive food waste commonly occurs at hotels, family functions, parties, and other events. The environmental impact of this waste is significant and necessitates effective solutions. Additionally, ensuring the freshness of food products is crucial for food processing, storage, and marketing. This study proposes a rapid and nondestructive method for detecting the freshness and quality of food using an IoT-based system. The proposed system incorporates various sensors and algorithms to assess the freshness of food products. Initially, volatile organic compound (VOC) gases emitted by the food product are retrieved and down sampled to obtain relevant features. Subsequently, a machine learning algorithm is employed to perform freshness detection. To provide real-time information to users, an application is developed to display the results of food item inspections conducted by the IoT device. This application enables users to gain insights into the quality and freshness of the food, thereby reducing food waste and enhancing consumer experience.

food waste, environmental impact, freshness detection, IoT-based system, sensors, algorithms, volatile organic compounds (VOC), real-time information, application

"THE FRESHNESS OF FOOD DETECTION USING THE INTERNET OF THINGS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.l427-l430, May-2023, Available :http://www.jetir.org/papers/JETIR2305B64.pdf

"THE FRESHNESS OF FOOD DETECTION USING THE INTERNET OF THINGS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppl427-l430, May-2023, Available at : http://www.jetir.org/papers/JETIR2305B64.pdf