Carnegie Mellon Engineers Develop Machine That Visually Inspects and Sorts Strawberry Plants
12/20/09 11:04 AM, 0 Comments
CMU researchers combine machine vision and intelligence to develop agricultural solution that formerly could only be accomplished manually. Researchers at Carnegie Mellon University’s National Robotics Engineering Center (NREC) have developed a plant-sorting machine that uses computer vision and machine learning to inspect and grade harvested strawberry plants and then mechanically sort them by quality — tasks that until now could only be done manually. In a successful field test this fall, the machine classified and sorted harvested plants more consistently and faster than workers could, with a comparable error rate. “We’re looking forward to using the system,” said Liz Ponce, CEO of Lassen Canyon Nursery in Redding, Calif., one of five strawberry plant producers sponsoring the NREC project. “All of our stakeholders feel that it has…
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