Editorial: Harnessing the Power of Large Language Models in Agricultural Safety & Health

Abstract

The age of smart digital technology is upon us, and some authors have suggested we have entered the fourth industrial age, sometimes cited as “Industry 4.0” (Liu et al., 2020). This includes the development and widespread deployment of a range of tools that include artificial intelligence, machine learning, and a host of closely interconnected methods such as deep learning. There are obviously significant implications and applications for agriculture and food production, including within the profession of agricultural safety and health.