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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM55226

IOT Based Meat and Fruits Freshness Detection

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM55226

Volume:

9 |

12 |

Dec 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM55226

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PKP1

Prof K Padmaja 1

DB

Dilip BN2

ME

M Elavarsan3

EJ

E Jagadeesh4

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Abstract

Food freshness monitoring is essential to ensure consumer safety and reduce food waste caused by spoilage of meat and fruits. Conventional methods mainly depend on visual inspection and manual checking, which are often inaccurate and inefficient. This paper presents an IoT-based system for real-time detection of meat and fruit freshness using environmental and gas sensing techniques. The proposed system employs an ESP8266 microcontroller integrated with a DHT11 sensor to measure temperature and humidity, an MQ135 gas sensor to detect spoilage-related gases, and a moisture sensor to identify surface wetness. Sensor data are continuously monitored and compared with predefined threshold values to classify the food condition as fresh, moderate, or spoiled. A buzzer is used to provide immediate alerts when spoilage is detected, while Wi-Fi connectivity enables remote monitoring through a web interface. Experimental results show that the system effectively detects freshness variations and provides timely alerts. The proposed solution is low-cost, reliable, and suitable for household, storage, and retail food safety applications.

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Cite This Article

Prof K Padmaja 1, Dilip BN2, M Elavarsan3, E Jagadeesh4, "IOT Based Meat and Fruits Freshness Detection," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 12, Dec 2025. https://doi.org/10.55041/IJSREM55226

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Publication Date

12/16/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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