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The potential impact of automating AMR fleet coordination on commercial agriculture is immense. Major conglomerates with large and heterogeneous fleets of agriculture vehicles could operate on huge land areas without human operators to effect precision farming. In this paper, we propose the Agriculture Fleet Vehicle Routing Problem (AF-VRP) which, to the best of our knowledge, differs from any other version of the Vehicle Routing Problem studied so far. We focus on the dynamic and decentralised version of this problem applicable in environments involving multiple agriculture machinery and farm owners where concepts of fairness and equity must be considered. Such a problem combines three related problems: the dynamic assignment problem, the dynamic 3-index assignment problem and the capacitated arc routing problem. We review the state-of-the-art and categorise solution approaches as centralised, distributed and decentralised, based on the underlining decision-making context. Finally, we discuss open challenges in applying distributed and decentralised coordination approaches to this problem.<\/jats:p>","DOI":"10.3233\/aic-201581","type":"journal-article","created":{"date-parts":[[2020,12,25]],"date-time":"2020-12-25T04:18:19Z","timestamp":1608869899000},"page":"55-71","source":"Crossref","is-referenced-by-count":17,"title":["Agriculture fleet vehicle routing: A\u00a0decentralised and dynamic problem"],"prefix":"10.1177","volume":"34","author":[{"given":"Marin","family":"Lujak","sequence":"first","affiliation":[{"name":"IMT Lille Douai, University of Lille, Douai, France. E-mail:\u00a0marin.lujak@imt-lille-douai.fr"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elizabeth","family":"Sklar","sequence":"additional","affiliation":[{"name":"Lincoln Institute for Agri-food Technology, University of Lincoln, Lincoln, UK. 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