Automatic Grape Yield Estimation System
This page shows Baden Parr's PhD research. Mathew Legg was the main supervisor, obtained the funding, and managed the project.
Funding from Bragato Research Institute, a subsidiary of New Zealand Winegrowers, through the Rod Bonfiglioli Scholarship
2018-2021
Massey University (Baden Parr and Mathew Legg) and NZ Wine.
Yield estimation is important in viticulture. Grape production can vary significantly between years. Estimation of yield allows growers to plan and organise, reduce costs, and optimise the price they get for their grapes. This project investigates the potential of 3D cameras and ultrasonic arrays for automated grape yield estimation.
Obtained funding and main PhD supervisor.
Publications
Grape yield estimation with a smartphone’s colour and depth cameras using machine learning and computer vision techniques
Computers and Electronics in Agriculture, 213: 108174
Parr, Baden and Legg, Mathew and Alam, Fakhrul
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BibTeX Parr, Baden and Legg, Mathew and Alam, Fakhrul
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Analysis of Depth Cameras for Proximal Sensing of Grapes
Sensors, 22(4179): 1424-8220, 2022
Parr, Baden and Legg, Mathew and Alam, Fakhrul
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BibTeX Parr, Baden and Legg, Mathew and Alam, Fakhrul
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Occluded Grape Cluster Detection and Vine Canopy Visualisation Using an Ultrasonic Phased Array
Sensors, 21(6), 2021
Parr, Baden and Legg, Mathew and Bradley, Stuart and Alam, Fakhrul
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BibTeX Parr, Baden and Legg, Mathew and Bradley, Stuart and Alam, Fakhrul
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Acoustic Identification of Grape Clusters Occluded by Foliage
In Sensors and Applications Symposium (SAS 2020), 2020
Parr, B and Legg, M and Alam, F and Bradley, S
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BibTeX Parr, B and Legg, M and Alam, F and Bradley, S