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Experiments and Analysis of Close-Shot Identification of On-Branch Citrus Fruit with RealSense
2018
Sensors
Fruit recognition based on depth information has been a hot topic due to its advantages. However, the present equipment and methods cannot meet the requirements of rapid and reliable recognition and location of fruits in close shot for robot harvesting. To solve this problem, we propose a recognition algorithm for citrus fruit based on RealSense. This method effectively utilizes depth-point cloud data in a close-shot range of 160 mm and different geometric features of the fruit and leaf to
doi:10.3390/s18051510
pmid:29751594
pmcid:PMC5982123
fatcat:sx6klgphdfg43kyyxy5lkms2ru