Abstract: Keeping food fresh is essential for preserving food quality, cutting waste, and minimizing potential health hazards. Traditional techniques of evaluating food freshness frequently depend on subjective sensory evaluation, which can be labor-intensive and error-prone. But thanks to recent technological developments, there are now many methods for determining the objective freshness of food. The state-of-the-art techniques and tools for determining the freshness of food, such as spectroscopy, gas sensors, machine learning, and computer vision, are thoroughly reviewed in this study paper. The report also covers the advantages and difficulties of using these strategies in the food business.

 
Keywords: Food Freshness Detection, Machine earning, advantages, efficiency, IOT, sensors


Downloads: PDF | DOI: 10.17148/IJARCCE.2023.12693

How to Cite:

[1] Bhuvan K C, Chinmay R K, Rohil M D, "FOOD FRESHNESS DETECTION USING IOT," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2023.12693

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