Show simple item record Santini, Alberto Bartolini, Enrico Schneider, Michael Greco de Lemos, Vinicius 2022-05-18T07:24:27Z 2022-05-18T07:24:27Z 2021
dc.identifier.citation Santini A, Bartolini E, Schneider M, Greco V. The crop growth planning problem in vertical farming. European Journal of Operational Research. 2021 Oct;294(1):377-90. DOI: 10.1016/j.ejor.2021.01.034
dc.identifier.issn 0377-2217
dc.description.abstract In this paper, we study the problem of planning the growth of crops on shelves in vertical farming cabinets under controlled growth conditions. By adjusting temperature, humidity, light, and other environmental conditions in different parts of the cabinets, a planner must ensure that crop growth is able to satisfy some deterministic demand. We prove this problem to be NP-hard and propose an integer programming formulation able to capture real-life operational characteristics, including changes of growth conditions on a daily, shelf-by-shelf basis, over a planning horizon of months. We compare four objective functions from which a planner can choose, depending on the specific operations of the company. A computational study on realistic instances, which we make available as a public dataset, shows that the choice of objective function heavily influences both the difficulty of solving the model with a standard solver and the solution characteristics.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Elsevier
dc.relation.ispartof European Journal of Operational Research. 2021 Oct;294(1):377-90
dc.rights © 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (
dc.title The crop growth planning problem in vertical farming
dc.type info:eu-repo/semantics/article
dc.subject.keyword Vertical farming
dc.subject.keyword Crop growth planning
dc.subject.keyword Operational research applications
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion


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