Route Optimisation for Autonomous Agricultural Sparying Robots

This research addresses a real-world problem in optimising routes for automated robotic sprayers in orchard spraying. It develops mathematical models and optimisation techniques to minimise travel distance while meeting edge demand and capacity constraints across various scenarios. The solution method integrates exact and heuristic algorithms, leveraging mathematical insights into orchard layouts to enhance efficiency and solution quality. This study contributes to more sustainable and automated precision spraying operations by bridging mathematical optimisation with practical agricultural needs, improving efficiency in large-scale orchards and advancing real-world applications of optimisation in precision agriculture.