Machine learning techniques are used to identify “supermarket ripe” raspberries to by using sensors and cameras using the robots. Once the good raspberries are identified then the grippers (like tongs) pull them off and place them in a nearby basket. Developing this technology costs around $900,000.

The robots are automated in such a way that they can work for 20 hours a day picking up raspberries at every 10 seconds. When the robot is fully ready with its four arms, more than 25000 raspberries can be picked up in a day, the average that a human could pile up in an eight-hour shift is around 15000. This new technology will eventually free the farmers and labour shortage issues will be occurred. In West Sussex at a farm owned by Fieldwork’s industry partner, the first trial of this new technology was held.

Johnson munition described above plans to try and do a lot of trials within the fall and use the information from these to refine and improve the technology. The hope is to start producing business machines in 2020.

It’s not simply raspberries that might see the choosing method fully reformed. Stoelen commenced with this fruit as a result of it’s less sturdy than different varieties, and he needed to undertake a posh method initially. However, work on tomato and cauliflower choosing is already current.

Machine learning is a part of Artificial intelligence, it allows software applications to become accurate in predicting outcomes. The main aim of Machine Learning is to develop computer programs and allow them to learn automatically without human intervention. “Machine Learning is a future,” says Google, as we know that humans have become addicted to machines we are the witnesses to a new revolution that’s taking over the world, and so ML is going to be the future of the world.