Abstract
The current level of development of unmanned transport aviation makes it possible to use it widely for the automation and robotization of many processes in agriculture. One of the promising applications of unmanned aerial vehicles is the delivery of essential supplies to remote areas cut off from land transportation routes. The urgent task here is the creation of mobile solutions that enable to quickly organize transportation of cargo, including heterogeneous ones, under conditions of shortage of certain types of cargo and the need to prioritize requests for delivery. The paper proposes a model for creating an optimal transportation plan of heterogeneous cargo between sources and destinations for the route network of arbitrary structure. The model contains mechanisms for formalizing and taking into account the priority of cargo delivery tasks for the different types of priority, as well as a mechanism for balancing the priority of delivery tasks and the transportation cost. The results of testing the proposed optimization model for planning the process of cargo delivery to remote areas, with visualization of the transportation plan based on a digital terrain model are presented. The directions for further development and improvement of the proposed approach are discussed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Altukhov, A.I., Dudin, M.N., Anishchenko, A.N.: Digital transformation as a technological breakthrough and transition to a new level of development of the agro-industrial sector of Russia. Food Policy Secur. 7(2), 81–95 (2020). https://doi.org/10.18334/ppib.7.2.100923
Jha, K., Doshi, A., Patel, P., Shah, M.: A comprehensive review on automation in agriculture using artificial intelligence. Artif. Intell. Agric. 2, 1–12 (2019). https://doi.org/10.1016/j.aiia.2019.05.004
Perov, I.: Robotic dairy systems–change in management paradigm. In: Ronzhin, A., Berns, K., Kostyaev, A. (eds.) Agriculture Digitalization and Organic Production. Smart Innovation, Systems and Technologies, vol. 245, pp. 15–25. Springer, Singapore (2022). https://doi.org/10.1007/978-981-16-3349-2_2
Anokhina, M.Y.: Strategy of managing growth of agricultural production in Russia. J. Exp. Biol. Agric. Sci. 5(6), 793–805 (2022). https://doi.org/10.18006/2017.5(6).793.805
Kholodova, M., Isaev, R., Podvesovskii, A.: Modeling strategies for state regulation of the agri-food market based on the cognitive approach. In: Ronzhin, A., Kostyaev, A. (eds.) Agriculture Digitalization and Organic Production. Smart Innovation, Systems and Technologies, vol. 331, pp. 399–410. Springer, Singapore (2022). https://doi.org/10.1007/978-981-19-7780-0_35
Pavlovskaya, E., Zakharova, A., Titarev, D.: Algorithm for calculating doses of mineral fertilizers based on linear optimization model. In: Ronzhin, A., Berns, K., Kostyaev, A. (eds.) Agriculture Digitalization and Organic Production. Smart Innovation, Systems and Technologies, vol. 245, pp. 371–381 (2022). Springer, Singapore. https://doi.org/10.1007/978-981-16-3349-2_31
Hussain, Y., Schlögel, R., Innocenti, A., Hamza, O., Iannucci, R., Martino, S., Havenith, H.B.: Review on the geophysical and UAV-based methods applied to landslides. Remote Sens. 14, 45–64 (2022). https://doi.org/10.3390/rs14184564
Kurbanov, R.K.: Zakharova, N.I.: Determination of spring barley lodging area with help of UAV. In: Ronzhin, A., Berns, K., Kostyaev, A. (eds.) Agriculture Digitalization and Organic Production. Smart Innovation, Systems and Technologies, vol. 245, pp. 247–257. Springer, Singapore (2022). https://doi.org/10.1007/978-981-16-3349-2_21
Wei, Z., Han, Y., Li, M., Yang, K., Yang, Y., Luo, Y., Ong, S.H.: Small UAV based multi-temporal registration for dynamic agricultural terrace monitoring. Remote Sens. 9, 904–913 (2017). https://doi.org/10.3390/rs9090904
Tevyashov, G.K., Mamchenko, M.V., Migachev, A.N., Galin, R.R., Kulagin, K.A., Trefilov, P.M., Onisimov, R.O., Goloburdin, N.V.: Algorithm for multi-drone path planning and coverage of agricultural field. In: Ronzhin, A., Berns, K., Kostyaev, A. (eds.) Agriculture Digitalization and Organic Production. Smart Innovation, Systems and Technologies, vol. 245, pp. 299–310. Springer, Singapore (2022). https://doi.org/10.1007/978-981-16-3349-2_25
Martinez, A., Mosquera, L., Jatsun, S. Emelyanova, O.: UAV soil sampling in Andean highlands for precision agriculture. In: Ronzhin, A., Kostyaev, A. (eds.) Agriculture Digitalization and Organic Production. Smart Innovation, Systems and Technologies, vol. 331, pp. 375–387. Springer, Singapore (2022). https://doi.org/10.1007/978-981-19-7780-0_33
Meshcheryakov, R., Salomatin, A., Senchuk, D., Shirokov, A.: Scenario of search, detection, and control of invasive plant species using unmanned aircraft systems. In: Ronzhin, A., Berns, K., Kostyaev, A. (eds.) Agriculture Digitalization and Organic Production. Smart Innovation, Systems and Technologies, vol. 245, pp. 259–270. Springer, Singapore (2022). https://doi.org/10.1007/978-981-16-3349-2_22
del Cerro, J., Cruz Ulloa, C., Barrientos, A., de León Rivas, J.: Unmanned aerial vehicles in agriculture: a survey. Agronomy 11, 203 (2021). https://doi.org/10.3390/agronomy11020203
Park, S., Choi, Y.: Applications of unmanned aerial vehicles in mining from exploration to reclamation: a review. Minerals 10, 663 (2020). https://doi.org/10.3390/min10080663
Güzey, A., Akıncı, M.M., Mehmet Güzey, H.: Optimal energy consuming on spraying an agricultural field by using multiple UAVs. In: Ronzhin, A., Berns, K., Kostyaev, A. (eds.) Agriculture Digitalization and Organic Production. Smart Innovation, Systems and Technologies, vol. 245, pp. 259–270. Springer, Singapore (2022). https://doi.org/10.1007/978-981-16-3349-2_24
Matyukha, S.: Unmanned aerial systems in cargo transportation. Transp. Bus. Russ. 1, 141–143 (2022). https://doi.org/10.52375/20728689_2022_1_141
Budarina, N.A., Kazakova, A.Y.: Current state of the international aviation services market. J. Econ. Bus. 5–1(75), 64–67 (2022). https://doi.org/10.24412/2411-0450-2021-5-1-64-67
Phillips, D.T., Garcia-Diaz, A.: Fundamentals of Network Analysis. Prentice Hall, Englewood Cliffs, NJ (1981)
Taha, H.A.: Operations Research: An Introduction, 10th ed. Pearson (2017)
Acknowledgements
The study was supported by the Russian Science Foundation, project No. 23-19-00342, https://rscf.ru/en/project/23-19-00342/.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Zakharova, A., Podvesovskii, A. (2023). Model for Optimization of Heterogeneous Cargo Transportation Using UAVs, Taking into Account the Priority of Delivery Tasks. In: Ronzhin, A., Kostyaev, A. (eds) Agriculture Digitalization and Organic Production. ADOP 2023. Smart Innovation, Systems and Technologies, vol 362. Springer, Singapore. https://doi.org/10.1007/978-981-99-4165-0_24
Download citation
DOI: https://doi.org/10.1007/978-981-99-4165-0_24
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-4164-3
Online ISBN: 978-981-99-4165-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)