Application of multi-agent robotic systems in agriculture
M.I. Anchekov, Zh.Kh. Kurashev, A.M. Leshckenov
Abstract. The article is devoted to the application of multi-agent robotic systems in agriculture. The article considers various examples of the application of multi-agent systems, such as route optimization, mechanical weeding, weed mapping and harvesting. It also considers the issue of the economic feasibility of using robot teams, provides a comparison with existing systems on the market.
Keywords: artificial intelligence, robots, multi-agent systems, precision agriculture
For citation. Anchekov M.I., Kurashev Zh.Kh., Leshckenov A.M. Application of multi-agent robotic systems in agriculture. News of the Kabardino-Balkarian Scientific Center of RAS. 2024. Vol. 26. No. 6. Pp. 158–164. DOI: 10.35330/1991-6639-2024-26-6-158-164
References
- Ota J. Multi-agent robot systems as distributed autonomous systems. Advanced Engineering Informatics. 2006. Vol. 20. No. 1. Pp. 59–70. DOI: 10.1016/j.aei.2005.06.002
- Ju C., Kim J., Seol J., Son H.Il. A review on multirobot systems in agriculture. Computers and Electronics in Agriculture. 2022. Vol. 202. P. 107336. DOI: 10.1016/j.compag.2022.107336
- Russell S., Norvig P. Iskusstvennyy intellekt: sovremennyy podkhod [Artificial Intelligence: A Modern Approach]. Moscow: I.D. Vil’yams, 2016. 1408 p. (In Russian)
- Nagoev Z.V. Intellektika, ili Myshleniye v zhivykh i iskusstvennykh sistemakh [Intellectics, or Thinking in Living and Artificial Systems]. Nalchik: Izdatel’stvo KBNTS RAN, 2013. 213 p. (In Russian)
- Chevalier A., Copot C., Keyser R.D., Hernandez A. A multi agent system for precision agriculture. Studies in Systems, Decision and Control. 2015. Pp. 361–386. DOI: 10.1007/978-3-319-26327-4_15
- Botteghi N. et al. Multi-agent path planning of robotic swarms in agricultural fields. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci. 2020. Vol. 1. 2020. Pp. 361–368.
- Laporte G. The traveling salesman problem: An overview of exact and approximate algorithms. European Journal of Operational Research. 1992. Vol. 59. No. 2. Pp. 231–247. DOI: 10.1016/0377-2217(92)90138-Y
- Christofides N. Worst-case analysis of a new heuristic for the travelling salesman problem. Operations Research Forum. 2022. Vol. 3(1). Pp. 1–4. DOI: 10.1007/s43069-021-00101-z
- Dorigo M., Maniezzo V., Colorni A. Ant system: optimization by a colony of cooperating agents. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics). 1996. Vol. 26. No. 1. Pp. 29–41. DOI: 10.1109/3477.484436
- Held M., Karp R.M. A dynamic programming approach to sequencing problems. Journal of the Society for Industrial and Applied Mathematics. 1962. Vol. 10. No. 1. Pp. 196–210. DOI: 10.1137/011001
- McAllister W., Osipychev D., Davis A., Chowdhary G. Agbots: Weeding a field with a team of autonomous robots. Computers and Electronics in Agriculture. 2019. Vol. 163. P. 104827. DOI: 10.1016/j.compag.2019.05.036
- Albani D., Haken R., Ijsselmuiden J., Trianni V. Monitoring and mapping with robot swarms for agricultural applications. XIV IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS). 2017. Pp. 1–6. DOI: 10.1109/AVSS.2017.8078478
- Pripotnev M.S., Diane S.A.K., Akulovsky D.V. Models and algorithms for controlling a group of mobile robots in the problem of harvesting. Mashinostroyeniye: setevoy elektronnyy nauchnyy zhurnal [Mechanical Engineering: a network electronic scientific journal]. 2023. Vol. 10. No. 4. Pp. 32–37. DOI: 10.24892/RIJIE/20230407. (In Russian)
- Meshcheryakov R.V., Shirokov A.S. Statement of the problem of heterogeneous group interaction of robots in solving smart garden problems. Bulletin of the South Ural State University. Series: Mathematics. Mechanics. Physics. 2024. No. 2. Pp. 41–49. DOI: 10.14529/mmph240204. (In Russian)
- Albiero D., Garcia A.P., Umezu C.K., Leme de Paulo R. Swarm robots in mechanized agricultural operations: A review about challenges for research. Computers and Electronics in Agriculture. 2022. Vol. 193. P. 106608. DOI: 10.1016/j.compag.2021.106608
- Guo H., Miao Zh., Ji J.C., Pan Q. An effective collaboration evolutionary algorithm for multi-robot task allocation and scheduling in a smart farm. Knowledge-Based Systems. 2024. Vol. P. 111474. DOI: 10.1016/j.knosys.2024.111474
Information about the author
Murat I. Anchekov, Researcher of the Department of Multiagent Systems of the Institute of Computer
Science and Problems of Regional Management of KBSC of the Russian Academy of Sciences;
360000, Russia, Nalchik, 37-a I. Armand street;
murat.antchok@gmail.com, ORCID: https://orcid.org/0000-0002-8977-797X, SPIN-code: 3299-0927
Zhiraslan Kh. Kurashev, Head of the Laboratory of Molecular Breeding and Biotechnology,
Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
360010, Russia, Nalchik, 2 Balkarov street;
ORCID: https://orcid.org/0000-0001-9442-6122, SPIN-code: 8549-2620
Aslan M. Leshckenov, Head of the Laboratory of Agricultural robotics of the Kabardino-Balkarian
Scientific Center of the Russian Academy of Sciences;
360010, Russia, Nalchik, 2 Balkarov street;
aslan.leshckenov@yandex.ru, ORCID: https://orcid.org/0000-0001-9516-3213, SPIN-code: 7494-4370