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International Journal of Science, Strategic Management and Technology

An International, Peer-Reviewed, Open Access Scholarly Journal Indexed in recognized academic databases · DOI via Crossref The journal adheres to established scholarly publishing, peer-review, and research ethics guidelines set by the UGC

ISSN: 3108-1762 (Online)
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AI-ASSISTED SMART FOOD PACKAGING: CURRENT TECHNOLOGIES, CHALLENGES, AND FUTURE OPPORTUNITIES

AUTHORS:
Madhuri Sathyanarayana
Manoj S
S. E Neelagund
Mentor
Affiliation
Department of Food Technology, Kuvempu University, Shankaraghatta.
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract

Artificial Intelligence (AI) has emerged as a revolutionary technology in the food packaging industry by enabling the development of intelligent, automated, and sustainable packaging systems. Modern food packaging not only protects food products from physical, chemical, and microbial contamination but also plays a vital role in maintaining food quality, extending shelf life, improving traceability, and enhancing consumer convenience. The integration of AI technologies such as machine learning, deep learning, computer vision, robotics, predictive analytics, and the Internet of Things (IoT) has significantly transformed traditional packaging practices into smart and interactive systems. AI-based packaging technologies utilize sensors, biosensors, RFID tags, imaging devices, and cloud-based monitoring systems to analyze real-time data related to temperature, humidity, gas composition, microbial activity, and packaging integrity. These intelligent systems help detect spoilage, contamination, leakage, and quality deterioration, thereby improving food safety and reducing food wastage. Machine learning algorithms are widely used for shelf-life prediction, quality assessment, and defect detection, while computer vision systems enhance automated inspection processes with high accuracy. AI-integrated IoT platforms further improve supply chain transparency, inventory management, and product traceability. Additionally, AI supports sustainable packaging by optimizing material usage, reducing environmental pollution, and promoting the development of biodegradable and recyclable packaging materials. Commercially available smart packaging technologies such as Fresh-Check®, Timestrip®, OnVu™, RipeSense™, and ScanTrust demonstrate the growing industrial application of AI in food packaging. Despite challenges including high implementation costs, technical complexity, and regulatory limitations, continuous advancements in AI, nanotechnology, and sensor engineering are expected to expand the future scope of intelligent food packaging systems worldwide.

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Sathyanarayana, M., S, M. & Neelagund, S. E. (2026). AI-Assisted Smart Food Packaging: Current Technologies, Challenges, and Future Opportunities. International Journal of Science, Strategic Management and Technology, 02(05). https://doi.org/10.55041/ijsmt.v2i5.130

Sathyanarayana, Madhuri, et al.. "AI-Assisted Smart Food Packaging: Current Technologies, Challenges, and Future Opportunities." International Journal of Science, Strategic Management and Technology, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i5.130.

Sathyanarayana, Madhuri,Manoj S, and S. Neelagund. "AI-Assisted Smart Food Packaging: Current Technologies, Challenges, and Future Opportunities." International Journal of Science, Strategic Management and Technology 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i5.130.

References
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This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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