«Development of Intelligent Data Processing and Flight Planning Models for Precision Farming Tasks Using UAVs» (IRN AP08856412)

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. 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/app11125541
  2. 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.
  3. 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.
  • 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) – https://www.dropbox.com/s/5kiex8t1cb6krkn/paper_84%2B.pdf?dl=0
  • 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.
  • 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.eu/download.php?file=2020_02_01.pdf

Working group of the project

Ravil Mukhamedyev Principal invistegator
Scopus ➔ ORCID ➔ Publications ➔
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 ➔
  Marina Yelis
Junior research scientist
Scopus ➔
ORCID ➔
Publications ➔
      Ilyas Assanov
Junior research scientist
ORCID ➔
Publications ➔