Invertis Journal of Renewable Energy
  • Year: 2025
  • Volume: 15
  • Issue: 1to4

Transforming the Food Industry with Artificial Intelligence: Applications, Challenges and Future Prospects

  • Author:
  • Alish Khadawala1*, Aayush Purohit2, Liza Mavani3, Dhaval J. Thaker4, Juhi Khengar5
  • Total Page Count: 5
  • Published Online: May 5, 2026
  • Page Number: 1 to 5

1Student, School of Information Technology, AURO University, Surat, Gujarat, India

2Student, School of Information Technology, AURO University, Surat, Gujarat, India

3Student, School of Information Technology, AURO University, Surat, Gujarat, India

4Assistant Professor, School of Information Technology, AURO University, Surat, Gujarat, India

5Assistant Professor, School of Information Technology, AURO University, Surat, Gujarat, India

*Corresponding author email id:alish.khadawala.mscit2024@aurouniversity.edu.in

Online Published on 05 May, 2026.

Abstract

Artificial Intelligence (AI) is revolutionizing the food industry by enhancing efficiency, ensuring quality, and optimizing workflows. AI-powered technologies, including computer vision, machine learning, and Internet of Things (IoT)-enabled sensors, are transforming food production, packaging, and safety monitoring. Automated quality control systems detect contaminants, assess freshness, and maintain product consistency, ensuring higher standards in food processing. AI-driven predictive analytics optimize supply chain operations, reducing food waste and improving inventory management. Additionally, robotic automation accelerates grading and sorting processes while minimizing human error. AI applications in food safety compliance and traceability further enhance consumer trust. However, challenges such as the demand for skilled labor, high implementation costs, and data privacy concerns remain significant barriers. Despite these challenges, the integration of AI continues to drive innovation, advancing food sustainability, safety, and overall quality.

Keywords

AI in food industry, Automated quality control systems, Predictive analytics for food supply chain, AI and food sustainability, IoT sensors in food processing