Recent trends and innovations in smart and AI-based food packaging: A review

Food packaging is crucial for ensuring food safety, maintaining product quality, and reducing food waste. However, traditional packaging systems cannot provide real-time information or predictions about product status. This limitation impacts supply chain visibility and effective shelf-life management. To address these issues, integrating artificial intelligence (AI) with innovative packaging methods, such as smart, active, intelligent, and biodegradable packaging, has become a promising approach. AI-enabled food packaging creates more responsive, accurate, and sustainable systems. It allows for real-time spoilage detection, predicts shelf-life, and improves traceability through machine learning and blockchain technologies. This review discusses recent advancements in AI-integrated smart packaging. It includes AI-driven freshness sensors, data-driven traceability systems, and eco-friendly packaging materials, showcasing their potential to enhance food safety, improve supply chain efficiency, and reduce food waste. Furthermore, it emphasizes future research directions. These focus on next-generation biodegradable smart sensors, advanced machine learning models for predictions, and developing sustainable, scalable packaging systems to strengthen global food security.

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Publication Details

Journal
Frontiers in Food Science and Technology
Published
2026-01-09
DOI
https://doi.org/10.3389/frfst.2025.1665055
Citations
1
Primary Topic
Nanocomposite Films for Food Packaging
Type
article
Field-Weighted Citation Impact
22.64
Controls
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article

Recent trends and innovations in smart and AI-based food packaging: A review

Narashans Alok Sagar, Nitu Rani
1 citations
Frontiers in Food Science and Technology
Nanocomposite Films for Food Packaging
22.64
article

Recent trends and innovations in smart and AI-based food packaging: A review

Narashans Alok Sagar, Nitu Rani
article en
1 citations

Abstract

Food packaging is crucial for ensuring food safety, maintaining product quality, and reducing food waste. However, traditional packaging systems cannot provide real-time information or predictions about product status. This limitation impacts supply chain visibility and effective shelf-life management. To address these issues, integrating artificial intelligence (AI) with innovative packaging methods, such as smart, active, intelligent, and biodegradable packaging, has become a promising approach. AI-enabled food packaging creates more responsive, accurate, and sustainable systems. It allows for real-time spoilage detection, predicts shelf-life, and improves traceability through machine learning and blockchain technologies. This review discusses recent advancements in AI-integrated smart packaging. It includes AI-driven freshness sensors, data-driven traceability systems, and eco-friendly packaging materials, showcasing their potential to enhance food safety, improve supply chain efficiency, and reduce food waste. Furthermore, it emphasizes future research directions. These focus on next-generation biodegradable smart sensors, advanced machine learning models for predictions, and developing sustainable, scalable packaging systems to strengthen global food security.

Frontiers in Food Science and TechnologyVol. 5
Chandigarh University (IN)
Responsible consumption and production
Openalex Percentile: Top 3%
Nanocomposite Films for Food Packaging
22.64
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