Robot uses machine learning to harvest lettuce

Engineers have trained a ‘Vegbot’ to recognise and harvest iceberg lettuce, using computer technology. The robot was initially trained in a lab at University of Cambridge but has now been successfully tested in a variety of field conditions.

Using a machine learning algorithm and camera, the Vegbot is taught to recognise healthy lettuces, while a second camera is positioned near the cutting blade to ensure a smooth cut.

Although the prototype is not as fast or efficient as a human worker, it gives a demonstration of how robotics could be used in future.

Find out more here.

Related case studies

Student pathways: Developing professional skills for sustainable careers

Edinburgh University gives students the opportunity to develop skills around sustainability.

Read more >

Researching the economics of healthcare at the University of York

Researchers at the University of York have developed cost-effectiveness analysis methods that are used worldwide to determine how best to use resources, measuring the costs and benefits of healthcare systematically while taking into account value to patients value and society.

Read more >