Jaco Fourie

Jaco Fourie

Manager, Machine Vision

BEng (Stellenbosch), MscEng (Stellenbosch), PhD (Canterbury)

Office +64 3 325 3700

Direct +64 3 325 3744

Email jaco.fourie@lincolnagritech.co.nz



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). His 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

Recent Projects

Latest Publications View All

Solving the occlusion problem and learning by example

Fourie, J. Jun, 2021

Detection and classification of opened and closed flowers in grape inflorescences using Mask R-CNN

Pahalawatta, K; Fourie, J; Carey, P; Werner, A; Parker, A (Lincoln Uni) Nov, 2020

Towards automated grape vine pruning: Learning by example using recurrent graph neural networks

Fourie, J., Hsiao J., Bateman, C., Misse, P.E., Batchelor, O., Werner, A. Oct, 2020

Assessment of Mixed Sward Using Context Sensitive Convolutional Neural Networks

Bateman, C., Fourie, J., Hsiao, J., Irie, K., Heslop, A., Anthony, H., Hagedorn, M., Jessep, B., Gebbie, S., Ghamkhar, K. Feb, 2020

Fusion of thermal and visible colour images for robust detection of people in forests

Fourie, J., Pahalawatta, K., Hsiao J., Bateman, C., Carey, C. Dec, 2019

Observations from Radar Scans of Grape Vines Conducted over a Growing Season

Eccleston, K. W., Platt, I. G., Jafari, A., Werner, A., Bateman, C., Woodhead, I. M., Fourie, J., Hsiao, J., & Carey, P. Oct, 2019

Photogrammetry for assessment of pasture biomass

Wigley, K., Owens, J.L., Westerschulte, M., Riding, P., Fourie, J., Werner, A. Oct, 2019

Real-time, non-destructive and in-feld foliage yield and growth rate measurement in perennial ryegrass (Lolium perenne L.)

Ghamkhar, K., Irie, K., Hagedorn, M., Hsiao, J., Fourie, J., Gebbie, S., Hoyos‑Villegas, V., George, R., Stewart, A., Inch, C., Werner, A., & Barrett, B. Jul, 2019

Urine patch detection using LiDAR & RPAS/UAV produced photogrammetry

Roten, R. L., Fourie, J., Owens, J., Trethewey, J., Ekanayake, D., Werner, A., Irie, K., Hagedorn, M., Cameron, K. Oct, 2017