Integrating Industry 5.0 Principles with Machine Learning and Internet of Things for Biotech Advancements

Abstract

Integrating machine learning (ML) and the industrial internet of things (IIoT) with the concepts of Industry 5.0 is a pioneering event in biotechnology. This technological combination focuses on human-centric automation, precision, and sustainability. Human intelligence and technical innovation coexist with each other in the collaborative ecosystem of Industry 5.0. This leads to smarter, more adaptable systems that help us to boost productivity and minimize waste while optimizing resource consumption. In this chapter, we have focused on the integration of high-performing ML algorithms with IIoT frameworks, which is crucial for promising biotech applications, including fermentation, biomanufacturing, and drug discovery. Predictive models function on real-time data derived from smart sensors and IIoT devices. The models help us to monitor, manage, and optimize biological processes accurately. Improved decision-making with operational efficiency is achieved through the collaboration of humans and machines. Robotics and artificial intelligence (AI) augment human expertise, which is key to process improvement. A 40% lower equipment downtime was observed with predictive maintenance. Process optimization increased the yield of biotech products by 20%. Energy usage and resource wastage were potentially minimized by integrating ML and IIoT. As a consequence, biotech processes became sustainable. Smart agriculture, customized medicine, and bioprocess engineering have possibilities of getting benefits from these technological advancements in the near future.