Use of artificial intelligence (AI) in ensuring quality and safety of food of animal origin: A review

Abstract

The increasing demand for food products derived from animals worldwide has raised serious concerns about the hygiene and overall quality of animal food. In the animal food production sector, traditional techniques of monitoring, inspection and quality control are labor-intensive, time-consuming and subject to human error. In this perspective, Artificial intelligence (AI) has become a revolutionary technology that provides novel methods to improve the safety and quality of animal food products. This review provides an overview of the applications of AI in the animal food industry, focusing on its pivotal role in quality and safety of food. We delve into various aspects of AI implementation, including computer vision, biosensor, machine vision, ultrasonic sensing, Internet of things and electronic method. The review explores the application of AI in quality control, disease detection, feed optimization and supply chain management in the animal food industry. By utilising the potential of AI, the animal food industry can enhance food safety, improve product quality and meet the ever-increasing demands of a global consumer base concerned about the source and safety of their food. This review aims to throw light on the diverse AI applications within the animal food industry, highlighting the potential to revolutionize the sector's quality and safety standards while driving innovation and sustainability in an increasingly interconnected world.