The crop growth planning problem in vertical farming

In this paper, we study the problem of planning growth crops on shelves in vertical farming cabinets under controlled conditions. By adjusting temperature, humidity, light, and other environmental conditions different parts cabinets, a planner must ensure that crop is able to satisfy some deterministic demand. We prove be NP-hard propose an integer programming formulation capture real-life operational characteristics, including changes daily, shelf-by-shelf basis, over horizon months. compare four objective functions from which can choose, depending specific operations company. A computational realistic instances, make available as public dataset, shows choice function heavily influences both difficulty solving model with standard solver solution characteristics.