Computer vision and algorithms identify fruit ripeness with 95 per cent accuracy

Most of us would identify fruit ripeness based on its colour or softness. But that doesn’t always work. Luckily, a group of researchers from Brazil have created a more effective and non-invasive way to determine fruit ripeness. Their solution uses computer vision and algorithms to identify different stages of ripeness based on images of fruit. “The idea is to automate harvesting using non-invasive imaging technologies such as computer-aided analysis of digital images in visible light as well as infrared,” says Fernandes Barbin, a researcher at the school of food engineering at the University of Campinas, Brazil.

This innovation could be particularly useful to Brazilian farmers, who would know when to harvest their fruit to maximise its value. The researchers tested this innovation on papaya, and the technology provided 95 per cent accuracy, promising to enable farmers to automate papaya harvesting.