@Article{2019.100000133,
AUTHOR = {Vitaliy Mezhuyev, Yurii Gunchenko, Sergey Shvorov, Dmitry Chyrchenko},
TITLE = {A Method for Planning the Routes of Harvesting Equipment using Unmanned Aerial Vehicles},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {26},
YEAR = {2020},
NUMBER = {1},
PAGES = {121--132},
URL = {http://www.techscience.com/iasc/v26n1/39848},
ISSN = {2326-005X},
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.},
DOI = {10.31209/2019.100000133}
}