Machine Vision for Counting Fruit on Mango Tree Canopies

@inproceedings{Qureshiab2016MachineVF,
  title={Machine Vision for Counting Fruit on Mango Tree Canopies},
  author={W. S. Qureshiab and A. Paynec and K. B. Walshc and R. Linkerd and O. Cohend and M. N. Daileyb},
  year={2016}
}
  • W. S. Qureshiab, A. Paynec, +3 authors M. N. Daileyb
  • Published 2016
Machine vision technologies hold the promise of enabling rapid and accurate fruit crop yield predictions in the field. The key to fulfilling this promise is accurate segmentation and detection of fruit in images of tree canopies. This paper proposes two new methods for automated counting of fruit in images of mango tree canopies, one using texture-based dense segmentation and one using shape-based fruit detection, and compares the use of these methods relative to existing techniques: – (i) a… CONTINUE READING

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