Agriculture fleet vehicle routing: A decentralised and dynamic problem

To date, the research on agriculture vehicles in general and Agriculture Mobile Robots (AMRs) particular has focused a single vehicle (robot) its agriculture-specific capabilities. Very little work explored coordination of fleets such daily execution farming tasks. This is especially case when considering overall fleet performance, efficiency scalability context highly automated that perform tasks throughout multiple fields potentially owned by different farmers and/or enterprises. The potential impact automating AMR commercial immense. Major conglomerates with large heterogeneous could operate huge land areas without human operators to effect precision farming. In this paper, we propose Fleet Vehicle Routing Problem (AF-VRP) which, best our knowledge, differs from any other version studied so far. We focus dynamic decentralised problem applicable environments involving machinery farm owners where concepts fairness equity must be considered. Such combines three related problems: assignment problem, 3-index capacitated arc routing problem. review state-of-the-art categorise solution approaches as centralised, distributed decentralised, based underlining decision-making context. Finally, discuss open challenges applying