Low and high-level visual feature-based apple detection from multi-modal images

@article{Wachs2010LowAH,
  title={Low and high-level visual feature-based apple detection from multi-modal images},
  author={Juan Pablo Wachs and Helman Stern and Tom Burks and Victor Alchanatis},
  journal={Precision Agriculture},
  year={2010},
  volume={11},
  pages={717-735}
}
Automated harvesting requires accurate detection and recognition of the fruit within a tree canopy in real-time in uncontrolled environments. However, occlusion, variable illumination, variable appearance and texture make this task a complex challenge. Our research discusses the development of a machine vision system, capable of recognizing occluded green apples within a tree canopy. This involves the detection of “green” apples within scenes of “green leaves”, shadow patterns, branches and… CONTINUE READING
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Segmentation of apple fruit from video via background modeling

  • A. L. Tabb, D. L. Peterson, J. Park
  • Paper number 063060,
  • 2006
Highly Influential
2 Excerpts

Estimation of number and diameter of apple fruits

  • D. Stanjnko, M. Lakota, M. Hocevar
  • 2004
1 Excerpt

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