Phys.org | May 15, 2023
A recent study from the University of Illinois highlights the need for new safety approaches in the realm of automated agricultural machinery. While these technological advancements offer increased productivity, concerns about safety measures and regulations arise. The study reviewed over 60 academic papers and identified three main areas of focus: environmental perception, risk assessment and mitigation, and human factors and ergonomics. The majority of research emphasizes environmental perception, such as obstacle detection and response, while limited work has been done on risk assessment and ergonomics. The study also explores the types of obstacles machines encounter, including positive, negative, and moving obstacles, and the various sensor types utilized. The trend is towards using multiple types of sensors for the dynamic agricultural environment. Challenges include sensor sensitivity and handling quickly moving obstacles. The study concludes that while safety standards and regulations need to be revised to accommodate autonomous systems in agriculture, the development of robust safety systems is vital for the widespread adoption of automated agricultural machinery.