A self-organising model of Macadamia with application to pruning in orchards

  • Neil Andrew White Department of Agriculture, Fisheries and Forestry (Qld)
  • Jim Hanan The University of Queensland
Keywords: Macadamia, self-organising, pruning, light distribution, high-throughput computing


A self-organising model of a macadamia that responds to pruning was created using the L-system-based language Lpfg. QuasiMC was used to determine light distribution within the canopy and reaching the orchard floor. Macadamia is an evergreen sub-tropical tree in the family Proteaceae and presents modelling challenges because of the abundance of leaves and multiple axillary buds.

Author Biographies

Neil Andrew White, Department of Agriculture, Fisheries and Forestry (Qld)

Principal Scientist

Agri-Science Queensland

Jim Hanan, The University of Queensland

Principal Research Fellow

Queensland Alliance for Agriculture and Food Innovation

4A Structural development of plants and light environment