Increasing intelligence through machine learning
In light of the large number of different plants, Bonirob’s automatic image recognition plays a key role. Albert describes the challenge: “The leaves of carrots and chamomile, for example, are very similar in their early stages.” As a result, he has to teach Bonirob how to learn and recognize the shapes of leaves. How do you “explain” the shape of a carrot leaf to a robotic system? Albert and his team use what is known as machine learning. This involves a large number of image files in which the Bosch researchers highlight the weeds. “Over time, based on parameters such as leaf color, shape, and size, Bonirob learns how to differentiate more and more accurately between the plants we want and the plants we don’t want,” Albert says.
Increasing intelligence through machine learningIn light of the large number of different plants, Bonirob’s automatic image recognition plays a key role. Albert describes the challenge: “The leaves of carrots and chamomile, for example, are very similar in their early stages.” As a result, he has to teach Bonirob how to learn and recognize the shapes of leaves. How do you “explain” the shape of a carrot leaf to a robotic system? Albert and his team use what is known as machine learning. This involves a large number of image files in which the Bosch researchers highlight the weeds. “Over time, based on parameters such as leaf color, shape, and size, Bonirob learns how to differentiate more and more accurately between the plants we want and the plants we don’t want,” Albert says.
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