Spatial planning

Spatial planning in agriculture requires processing vast amounts of geospatial data and solving complex optimisation problems to allocate land efficiently and sustainably.

Quantum computing could enhance the capacity for solving spatial planning problems, e.g., by improving combinatorial optimisation with multiple objectives.

Better solutions for these optimisation problems can support spatial planners to ensure sustainable land use, optimise resource allocation, and boost agricultural productivity.