Open Access
ARTICLE
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. https://doi.org/10.31209/2019.100000133
Abstract
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.
Keywords
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. https://doi.org/10.31209/2019.100000133