Smart and Sustainable: Review of AI-Driven Approaches in Biodegradable Food Packaging Systems

Abstract

Biodegradable materials for food preservation are becoming more popular as a result of the growing need for environmentally friendly and sustainable packaging solutions. However, because biopolymers have a wide range of characteristics and behaviors, improving the sustainability, safety, and performance of such materials is still a difficult task. One promising way to speed up research and innovation in this field is through artificial intelligence (AI). The use of AI in the creation, formulation, and improvement of biodegradable packaging systems is examined in this review. Predicting material properties, designing polymer blends in reverse, integrating sensors into smart packaging, and automated quality control are some of the main uses. Case studies demonstrating effective applications of machine learning and deep learning methodologies in actual biodegradable packaging situations are also covered in the review. Limitations are also critically analysed, including regulatory barriers, model interpretability, and data scarcity. The study concludes by outlining potential future developments, highlighting how AI-driven technologies, digital twins, and autonomous labs could revolutionise the sustainable packaging sector. This review offers a thorough grasp of how AI can facilitate the shift to intelligent, secure, and environmentally friendly food packaging systems by highlighting recent developments and potential future paths.