Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/32696
Title: Optimization Algorithms in Precision Agriculture - Selected Use Cases
Authors: Obrenović, Nikola 
Lalić, Maksim 
Brdar, Sanja 
Marko, Oskar 
Crnojević, Vladimir 
Issue Date: Nov-2023
Project: This research is part of the ANTARES project that has received funding from the European Union’s Horizon 2020 research and innovation programme (SGA-CSA. No. 739570 under FPA No. 664387, https://doi.org/10.3030/739570)
Conference: 3rd Szeged WORkshop on Discrete Structures (SWORDS 2023), Szeged, Hungary, November 23-24
Abstract: The increase in world population makes it necessary to enhance the efficiency of food production, and agricultural tasks in general. Therefore, optimization problems arise in many segments of precision agriculture, and given their complexity, advanced heuristic algorithms are needed for their solution. Here, I will present two important tasks and their suggested solutions. The first task is the optimization of crop planting time, with the objectives of improving both effectiveness and efficiency of the production. The second task is the optimization of unmanned ground vehicle routing through blueberry fields, which must account for the characteristics of the field and the UGV. To solve both problems, we utilize heuristics based on adaptive large neighborhood search. In the former, NSGA-II is also used.
URI: https://open.uns.ac.rs/handle/123456789/32696
Appears in Collections:IBS Publikacije/Publications

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