Authors : Sowmya B. L.

Volume/Issue : Volume 10 - 2025, Issue 10 - October

Google Scholar : https://tinyurl.com/2v6uvurx

Scribd : https://tinyurl.com/mrsn92xz

DOI : https://doi.org/10.38124/ijisrt/25oct1083

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Note : Google Scholar may take 30 to 40 days to display the article.

Abstract : Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing the global food industry by improving quality, efficiency, and sustainability at every stage of production and processing. With increasing global food demand and stricter quality standards, industries are adopting AI tools such as computer vision, robotics, and predictive analytics to automate operations and ensure safety and consistency. This paper provides a comprehensive review of AI applications in various food sectors—dairy, bakery, beverages, and fruit and vegetable processing—and explores how these technologies contribute to real-time decision-making, waste reduction, and quality assurance. The paper also discusses the integration of AI with advanced tools like electronic nose, electronic tongue, and near-infrared spectroscopy (NIR), which together enhance food inspection and sensory analysis. Finally, it highlights the role of Industry 4.0 technologies such as robotics and 3D printing in building smart, data-driven, and sustainable food systems that can meet future global demands.

Keywords : Artificial Intelligence (AI), Machine Learning (ML), Computer Vision, Food Processing, Industry 4.0, Robotics, Sustainability, Quality Control, Smart Manufacturing, 3D Food Printing.

References :

1. J. Liu et al., “Applications of Artificial Intelligence in Food Industry,” Journal of Food Engineering, vol. 350, pp. 1–14, 2023.
2. P. Singh and R. Sharma, “Machine Learning in Food Processing and Safety,” Food Technology International, vol. 42, no. 5, pp. 90–102, 2022.
3. M. Zhang, “Computer Vision-Based Food Quality Assessment,” Sensors and Systems, vol. 18, no. 3, pp. 155–169, 2024.
4. S. Banerjee, “Industry 4.0 Technologies in Smart Food Manufacturing,” IEEE Access, vol. 11, pp. 20322–20335, 2023.
5. A. Kumar and L. Patel, “AI-Driven Sustainability in Global Food Systems,” International Journal of Smart Agriculture, vol. 29, no. 2, pp. 44–59, 2024.