There are numerous practical applications for computer vision but typically the cost of gathering the data has been time consuming and expensive. Researchers at Intel Labs and Carnegie Mellon University in Pittsburgh are looking at low cost, reliable ways that computers can help farmers manage and track their crop yield. Deploying low cost sensors in a vineyard and using off the shelf cameras, they are building computer models that can distinguish grapes hidden among leaves and shadows.Check out the latest Future Lab podcast to find out more about this research project.
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