Yield Estimation through Computer Vision and Acoustics

Vineyard yield estimation is an important task for viticulturists. Traditionally, the yield estimation has been conducted manually which can be time consuming and inaccurate. Therefore, automated yield estimation can have a significant impact on the profitability of vineyards. We are partnering with New Zealand Winegrowers Association to develop novel solutions using computer vision techniques using 3D cameras and acoustics (ultrasonic arrays).

Researchers:

  • Baden Parr (PhD Researcher)
  • Dr Mathew Legg (Research Lead)
  • A/P Fakhrul Alam

Publications in Yield Estimation:

  1. B. Parr, M. Legg, and F. Alam, “Analysis of Depth Cameras for Proximal Sensing of Grapes”, May 2022, Sensors.
  2. B. Parr, M. Legg, S. Bradley, and F. Alam, " Occluded Grape Cluster Detection and Vine Canopy Visualisation using an Ultrasonic Phased Array," Sensors, March 2021.
  3. B. Parr, M. Legg, F. Alam and S. Bradley" Acoustic Identification of Grape Clusters Occluded by Foliage," Proceedings - 2020 IEEE Sensors Applications Symposium (SAS2020), 2020.
  4. B. Parr and M. Legg, “An automated grape yield estimation system.” NZ Winegrower Magazine, Dec./Jan. 2019. (https://issuu.com/ruralnewsgroup/docs/nzwg_113_dec_2018_jan_2019).
  5. B. Parr and M. Legg, “An automated grape yield estimation system.” NZ Winegrower Magazine, Jun./Jul. 2019. (https://issuu.com/ruralnewsgroup/docs/wg_110_june-july).