Artificial Intelligence in Meat Industry

The growing global demand for animal-derived food products has sparked significant concerns regarding the hygiene and overall quality of these products. In the animal food production industry, conventional methods of monitoring, inspection, and quality control are often labour-intensive, time-consuming, and prone to human error. In this context, Artificial Intelligence (AI) has emerged as a transformative technology, offering innovative approaches to enhance the safety and quality of animal food products. This review presents an overview of AI applications within the animal food sector, emphasizing its crucial role in ensuring food quality and safety. We examine various facets of AI implementation, such as computer vision, biosensors, machine vision, ultrasonic sensing, the Internet of Things, and electronic methods. The review investigates the use of AI in quality control, disease detection, feed optimization, and supply chain management within the animal food industry. By harnessing the capabilities of AI, the animal food sector can improve food safety, elevate product quality, and satisfy the growing demands of a global consumer base that prioritizes the source and safety of their food. This review seeks to illuminate the diverse applications of AI in the animal food industry, underscoring its potential to transform quality and safety standards while fostering innovation and sustainability in an increasingly interconnected world.