Jaco Fourie
BEng, MScEng, PhD
Jaco has a Ph.D in computer vision from the University of Canterbury and a Masters in applied mathematics from the University of Stellenbosch. He joined Lincoln Agritech in July 2013. Prior to that he worked at CropLogic as the modelling technology leader and as researcher at Geospatial Research Centre (NZ).
Jaco’s background is in computer vision, image processing, software, and heuristic optimisation techniques. He also has a strong interest in the emerging field of deep learning and leads the image processing team in its integration. Jaco is involved in building capability and strategic development in this area.
He has particular interests in:
- Image processing
- Computer vision
- Heuristic optimisation
- Machine learning
- Data science
Academic and Professional History:
- 2017-current: Team Leader, Optics and Image Processing
- 2013-2017: Research and Development Engineer, Lincoln Agritech Ltd
- 2011-2013: Modelling Technology Leader, CropLogic
- 2008-2010: Researcher, Geospatial Research Centre (NZ)
- 2008-2011: PhD (computer vision), University of Canterbury
- 2005-2006: Master of Science (applied mathematics), University of Stellenbosch
- 2001-2004: Bachelor of Engineering, University of Stellenbosch
Publications
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Modelling wine grapevines for autonomous robotic cane pruning, Biosystems Engineering
Williams H, Smith D, Shahabi J, Gee T, Nejati M, McGuinness B, Black K, Tobias J, Jangali R, Lim H, Duke M, Bachelor O, McCulloch J, Green R, O'Connor M, Gounder S, Ndaka A, Burch K, Fourie J, Hsiao J, Werner A, Agnew R, Oliver R, MacDonald B
https://doi.org/10.1016/j.biosystemseng.2023.09.006
Characterising retained dormant shoot attributes to support automated cane pruning on Vitis vinifera L. cv. Sauvignon Blanc, “Australian Journal of Grape and Wine Research”
Epee P T M, Schelezki OJ, Parker A K, Trought M C T, Werner A, Hofmann R W, Almond P, Fourie J
https://doi.org/10.1111/ajgw.12555
Evaluating sources of variability in inflorescence number, flower number and the progression of flowering in Sauvignon blanc using a Bayesian modelling framework, Vol. 56 No. 1 (2022): OENO One
Amber K. Parker, Jaco Fourie, Mike C. T. Trought, Kapila Phalawatta, Esther Meenken, Anne Eyharts, Elena Moltchanova
https://doi.org/10.20870/oeno-one.2022.56.1.4717
Robust human instance segmentation in a challenging forest environment 36th International Conference on Image and Vision Computing New Zealand (IVCNZ)
K. Pahalawatta, J. Fourie, J. Potgieter, H. Ascot-Evans and A. Werner
https://doi.org/10.1109/IVCNZ54163.2021.9653172
Solving the occlusion problem and learning by example, 72nd national conference of the American society for enology and viticulture
Fourie, J
Towards automated grape vine pruning: Learning by example using recurrent graph neural networks, “International Journal of Intelligent Systems”
Fourie J, Bateman C, Hsiao J, Pahalawatta K, Batchelor O, Epee Misse P, Werner A
https://doi.org/10.1002/int.22317
Detection and classification of opened and closed flowers in grape inflorescences using Mask R-CNN IVCNZ Conference
Pahalawatta, K; Fourie, J; Carey, P; Werner, A; Parker, A
https://doi.org/10.1109/IVCNZ51579.2020.9290720
Towards automated grape vine pruning: Learning by example using recurrent graph neural networks, “International Journal of Intelligent Systems”
Fourie, J., Hsiao J., Bateman, C., Misse, P.E., Batchelor, O., Werner, A
Assessment of Mixed Sward Using Context Sensitive Convolutional Neural Networks, “Frontiers in Plant Science”
Bateman, C., Fourie, J., Hsiao, J., Irie, K., Heslop, A., Anthony, H., Hagedorn, M., Jessep, B., Gebbie, S., Ghamkhar, K.
https://doi.org/10.3389/fpls.2020.00159
Fusion of thermal and visible colour images for robust detection of people in forests, 2019 International Conference on Image and Vision Computing New Zealand (IVCNZ)
Fourie J, Pahalawatta K, Hsiao J, Bateman C, Carey P
doi:10.1109/IVCNZ48456.2019.8960964.
