Simulation and Optimization of Robotic Tasks for UV Treatment of Diseases in Horticulture (2020)

Develops a multi-agent simulation and optimization framework for scheduling robotic UV-C treatments, accounting for disease progression to improve the timing and efficiency of autonomous horticultural applications.