Development of Intelligent Data Processing and Flight Planning Models for Precision Farming Tasks Using UAVs (IRN AP08856412 – IUAVT)
The aim of the project
Development of models of data processing and flight planning of technically heterogeneous UAVs for the decision of problems of precision farming on the basis of methods of artificial intelligence.
Relevance
Application of the UAV for solving a wide range of monitoring and control tasks in the sectors of management of Kazakhstan is limited not only by individual technical features of this mobile platform but also by insufficient development of practically applicable intelligent methods, algorithms, and systems of motion control and analysis of data coming from the UAV. Aim of the projects is the development of practically applicable methods, providing the solution of flight control tasks (including a group of vehicles), identification, and classification of objects of observation, with the help of modern methods of machine learning to solve the problems of precision agriculture. The expected results are also applicable in other branches of production for solving monitoring tasks.
Expected results
The project will result in
- Published at least 3 (three) articles and/or reviews in peer-reviewed scientific publications on the scientific direction of the project, included in 1 (first), 2 (second) or 3 (third) quartile in the Web of Science and (or) having a percentage of CiteScore in the Scopus database at least 50 (fifty);
- Published at least 1 (one) article in a peer-reviewed foreign and/or domestic publication with non-zero impact factor (recommended by Committee on Control in Education and Science of the Ministry of Education and Science of the Republic of Kazakhstan);
- Certificate of implementation received or recommendations on implementation developed;
- The scientific and technical documentation for the software will be developed;
- Certificates of intellectual property registration for software will be obtained.
Scientific results can be applied or commercialized as part of the final product in the tasks of management and monitoring in agriculture and other areas of economic application UAV
Results achieved
The first phase (tasks 1.1, 2.1, 3.1, 4.1, 5.1, 6.1) of the project was completed.
Publications
1. Ravil I. Mukhamediev , Adilkhan Symagulov , Yan Kuchin , Elena Zaitseva, Alma Bekbotayeva, Kirill Yakunin , Ilyas Assanov , Vitaly Levashenko, Yelena Popova , Assel Akzhalova, Sholpan Bastaubayeva and Laila Tabynbaeva. Review of Some Applications of Unmanned Aerial Vehicles Technology in the Resource-Rich Country //Applied Sciences. – 2021. – Т. 11. – №. 21. – С. 10171. https://doi.org/10.
Abstract
2. Mukhamediev RI, Symagulov A, Kuchin Y, Yakunin K, Yelis M. From Classical Machine Learning to Deep Neural Networks: A Simplified Scientometric Review//Applied Sciences. – 2021. – Т. 11. – №. 12. – P. 5541. – https://doi.org/10.3390/
Abstract
3. Ravil Mukhamedyev, Yan Kuchin, Kirill Yakunin, Adilkhan Symagulov, Maryam Ospanova, Ilyas Assanov, Marina Yelis. Intelligent unmanned aerial vehicle technology in urban environments//International Conference on Digital Transformation and Global Society. – Springer, Cham, 2020. – 16 p. (publication process), (in Communications in Computer and Information Science, Q3, Scopus Cite Score = 32%) https://www.dropbox.com/s/
Abstract
Sustainable development of megacities requires a transition to the new management methods and technologies, based on the wide use of a large amount of heterogeneous data. Managing the urban economy needs to consider environmental restrictions, environmental monitoring tasks, engineering facilities, and transport. Operational control over the urban environment and the surrounding area can be produced using unmanned aerial vehicles (UAVs), and the collected data can be processed using a wide range of software and hardware technologies related to the field of artificial intelligence. However, along with any fairly new technology, intelligent unmanned technologies have both advantages and disadvantages. Strengths are mobility and efficiency, relative cheapness, the possibility of a high degree of automation, whereas weaknesses are short flight time, dependence on weather conditions, the certain outstanding tasks of data management and processing. This paper considers the possibilities of using intelligent unmanned technologies based on UAVs for solving the problems of monitoring the urban environment of the Kazakhstan megalopolises. Consideration is also being given to the scope for extending possibilities of applying these technologies to the field of environmental monitoring, monitoring of hazardous geological processes, technical constructions and vehicles. Furthermore, technological and economic issues, as well as necessary data processing technologies, are discussed. The economic effect of the use of IUVAT is estimated at $ 70-200 million, but it requires solving a set of data processing, control and technical problems.
4. P. Sedlacek, M Ospanova, M Yelis. Sensitivity analysis of MVL Systems by the Logic Derivatives of MVL Functions //CERes Journal.- 2021.- Vol.6.- Issue 2.- 2020. P.1-7 – http://ceres-journal.
5. Mukhamediev R. I. et al. Rapid bibliometric analysis in deep learning domain //2021 International Conference on Information and Digital Technologies (IDT). – IEEE, 2021. – С. 206-211. – https://ieeexplore.ieee.org/
6. R Muhamedyev, K Yakunin, Y Kuchin, A Symagulov, S Murzakhmetov, M Ospanova, I Assanov, M Yelis. Intelligent unmanned aerial vehicle technologies // The 18th INTERNATIONAL CONFERENCE INFORMATION TECHNOLOGIES AND MANAGEMENT 2020 April 23-24, 2020, ISMA University of Applied Science, Riga, Latvia.- c. 21-22.
7. Assanov I. Multi UAV simulator in Unity // The 19th INTERNATIONAL SCIENTIFIC CONFERENCE INFORMATION TECHNOLOGIES AND MANAGEMENT 2021 April 22-23, 2021, ISMA University of Applied Science, Riga, Latvia.- c. 46-47.
8. A Bekbaganbetov, M Ospanova, M Yelis, J Rabcan, R Muhamedyev. Experiments to identify changes in synthesized images // The 19th INTERNATIONAL SCIENTIFIC CONFERENCE INFORMATION TECHNOLOGIES AND MANAGEMENT 2021 April 22-23, 2021, ISMA University of Applied Science, Riga.- c. 54-55.
9. M Ospanova, M Yelis, A Bekbaganbetov, J Rabcan, R Muhamedyev Image generation for solving problems of precision farming // The 19th INTERNATIONAL SCIENTIFIC CONFERENCE INFORMATION TECHNOLOGIES AND MANAGEMENT 2021 April 22-23, 2021, ISMA University of Applied Science, Riga.- c. 64-65.
10. R Muhamedyev, K Yakunin, Y Kuchin, A Symagulov, S Murzakhmetov, M Ospanova, I Assanov, M Yelis. Intelligent unmanned aerial vehicle technologies // The 18th INTERNATIONAL CONFERENCE INFORMATION TECHNOLOGIES AND MANAGEMENT 2020 April 23-24, 2020, ISMA University of Applied Science, Riga, Latvia.- c. 21-22
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Ravil Mukhamedyev Principal invistegator mukhamediev.ravil <Ω> gmail.com |
Yan Kuchin Senior research scientist Scopus ➔ ORCID ➔ Publications ➔ |
Kirill Yakunin Senior research scientist Scopus ➔ ORCID ➔ Publications ➔ |
| Sanzhar Murzakhmetov Software engineer ORCID ➔ Publications ➔ |
Adilkhan Symagulov Engineer Scopus ➔ ORCID ➔ Publications ➔ |
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| Marina Yelis Junior research scientist Scopus ➔ ORCID ➔ Publications ➔ |
Ilyas Assanov Junior research scientist ORCID ➔ Publications ➔ |