FreshIQ: AI-Based Fruits and Vegetable Spoilage Detection System

  • Unique Paper ID: 180923
  • PageNo: 3042-3046
  • Abstract:
  • Food spoilage is a critical concern impacting health, sustainability, and food security. Conventional methods of spoilage detection rely heavily on human judgment or expensive laboratory setups, making them inefficient or inaccessible for everyday use. This paper introduces FreshIQ, an AI-integrated real-time system for detecting spoilage in fruits and vegetables using a combination of sensors and machine learning algorithms. The system combines environmental data (temperature, humidity), gas emissions (methane, ammonia, alcohol), color data, and visual signs of spoilage to determine freshness. Designed for household, industrial, and retail settings, FreshIQ aims to reduce food waste, improve safety, and support smart food management.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{180923,
        author = {Amitansh Gupta and Ajeet Kumar Srivastava and Om Aditya Mishra and Mohit Sahoo and Sudhanshu Kumar},
        title = {FreshIQ: AI-Based Fruits and Vegetable Spoilage Detection System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {3042-3046},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180923},
        abstract = {Food spoilage is a critical concern impacting health, sustainability, and food security. Conventional methods of spoilage detection rely heavily on human judgment or expensive laboratory setups, making them inefficient or inaccessible for everyday use. This paper introduces FreshIQ, an AI-integrated real-time system for detecting spoilage in fruits and vegetables using a combination of sensors and machine learning algorithms. The system combines environmental data (temperature, humidity), gas emissions (methane, ammonia, alcohol), color data, and visual signs of spoilage to determine freshness. Designed for household, industrial, and retail settings, FreshIQ aims to reduce food waste, improve safety, and support smart food management.},
        keywords = {Food spoilage, algorithms, food waste, food managment},
        month = {June},
        }

Cite This Article

Gupta, A., & Srivastava, A. K., & Mishra, O. A., & Sahoo, M., & Kumar, S. (2025). FreshIQ: AI-Based Fruits and Vegetable Spoilage Detection System. International Journal of Innovative Research in Technology (IJIRT), 12(1), 3042–3046.

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