• Vaibhav Ramesh Tupe
• Sarthak Thange
• Saurabh Dalvi
• Omkar Khapke
• Ratan deokar

The freshness of the food is a significant indicator of the quality of food products. Onion & Fish processing, storage, and logistics of onion and seafood products all heavily rely on the rapid detection of the freshness of it. In this study, a rapid and nondestructive Seafood & Onion freshness detection method is proposed in response to the drawbacks of current food freshness detection approaches. We first retrieved the VOC gases of the fish body and down-sampled them before obtaining features. Finally, freshness detection is carried out using the Machine learning algorithm. Eating unhealthy food can cause several foodborne diseases which may harm our health. This IoT-based system aims to detect the quality and freshness of food using various sensors and algorithms. The identification and selection of an MQ135 sensor and TVOC sensor to develop a sensible food ideality detector ensures the freshness of food and lets us know whether to eat it or bin it. It also plays a vital role while the food is being warehoused. The results will be displayed on checking food items through the device.

Food freshness, Food quality, LCD, IoT, MQ135 Sensor, TVOC sensor.

"POST HARVEST DEGRADED ONION & SEAFOOD DETECTION AND ENVIRONMENT REGULATION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.l569-l571, May-2023, Available :http://www.jetir.org/papers/JETIR2305B77.pdf

"POST HARVEST DEGRADED ONION & SEAFOOD DETECTION AND ENVIRONMENT REGULATION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppl569-l571, May-2023, Available at : http://www.jetir.org/papers/JETIR2305B77.pdf