Computer vision for fruit harvesting robots - state of the art and challenges ahead

  title={Computer vision for fruit harvesting robots - state of the art and challenges ahead},
  author={Keren Kapach and Ehud Barnea and Rotem Mairon and Yael Edan and Ohad Ben-Shahar},
Despite extensive research conducted in machine vision for harvesting robots, practical success in this field of agrobotics is still limited. This article presents a comprehensive review of classical and state-of-the-art machine vision solutions employed in such systems, with special emphasis on the visual cues and machine vision algorithms used. We discuss the advantages and limitations of each approach and we examine these capacities in light of the challenges ahead. We conclude with… CONTINUE READING
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