Optimised Routing of the Blueberry Cultivating Unmanned Ground Vehicle

Abstract

Precision treatment of blueberries has recently gained high importance due to the value of the crop. Such treatment is intended to be performed by unmanned ground vehicles (UGVs). However, the autonomy of UGVs is constrained by technological limitations, requiring their tasks to be executed in optimal routes. This paper presents an ALNS-based approach for the optimisation of UGV routes and its evaluation on problem instances based on an actual blueberry field. We also identify possible alternative solution methodologies that will be evaluated in the future research.