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A Method for Planning the Routes of Harvesting Equipment using Unmanned Aerial Vehicles

Vitaliy Mezhuyev1,*, Yurii Gunchenko2, Sergey Shvorov3, Dmitry Chyrchenko3

1 Faculty of Computer Systems and Software Engineering, Universiti Malaysia Pahang, Lebuhraya Tun Razak, Gambang, 26300, Malaysia
2 Institute of Mathematics, Economics and Mechanics, Odesa I.I.Mechnikov National University, Dvoryans'ka St, 2, Odesa, 65000, Ukraine
3 Education and Research Institute of Energetics, Automation and Energy Efficiency, National University of Life and Environmental Sciences of Ukraine, 12 Heroyiv Oborony str., Kyiv, 03041 Ukraine

* Corresponding Author: Vitaliy Mezhuyev, , FH Joanneum University of Applied Sciences, Austria

Intelligent Automation & Soft Computing 2020, 26(1), 121-132.


The widespread distribution of precision farming systems necessitates improvements in the methods for the control of unmanned harvesting equipment (UHE). While unmanned aerial vehicles (UAVs) provide an effective solution to this problem, there are many challenges in the implementation of technology. This paper considers the problem of identifying optimal routes of UHE movement as a multicriteria evaluation problem, which can be solved by a nonlinear scheme of compromises. The proposed method uses machine learning algorithms and statistical processing of the spectral characteristics obtained from UAV digital images. Developed method minimizes the resources needed for a harvesting campaign and reduces the costs of fuel consumption.


Cite This Article

V. Mezhuyev, Y. Gunchenko, S. Shvorov and D. Chyrchenko, "A method for planning the routes of harvesting equipment using unmanned aerial vehicles," Intelligent Automation & Soft Computing, vol. 26, no.1, pp. 121–132, 2020.

This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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