Recommending software system for estimating the composition of heterogeneous robots for performance of agricultural operations

Authors

  • Quoc Tien Ngo St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences
  • Van Vinh Nguyen St. Petersburg State University of Aerospace Instrumentation
  • Андрей Леонидович Ронжин St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences and the St. Petersburg State University of Aerospace Instrumentation

DOI:

https://doi.org/10.17308/sait.2019.4/2689

Keywords:

UAV, robotic service platform, farmland processing, UAV service, interaction of heterogeneous robots

Abstract

An analytical review of the work aimed at increasing the battery life of UAVs and their maintenance on service ground robotic platforms, including in the field of agricultural robotics, is given. Moreover, the number of involved robots depends on the size of the cultivated area, the required speed of the task and other factors. Therefore, the aim of this study was to develop the formal approach and software for recommending system that provides an assessment of the composition of heterogeneous robotic tools for agricultural operations. The method of multicriteria estimation of the quantity and composition of heterogeneous agricultural robotic complexes required for processing a given area of a field, weather conditions and other aspects affecting the cost and speed of work is described. The recommending AgrobotModeling software system used to modeling and visualization of the interaction process of several ground service platforms and unmanned aerial vehicles during the processing of agricultural objects is presented. The user interface, containing 4 main blocks, reflecting the parameters of the land, platform and UAVs, as well as controls and indicators of elapsed time, provides visualization and modeling of the processing of agricultural land with a different number of platforms and UAVs.

Author Biographies

  • Quoc Tien Ngo, St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences

    Postgraduate student of the St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences

  • Van Vinh Nguyen, St. Petersburg State University of Aerospace Instrumentation

    Postgraduate student of the St. Petersburg State University of Aerospace Instrumentation

  • Андрей Леонидович Ронжин, St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences and the St. Petersburg State University of Aerospace Instrumentation

    Doctor of technical sciences, Professor of the St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences and the St. Petersburg State University of Aerospace Instrumentation

References

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Published

2019-09-23

Issue

Section

Intelligent Information Systems

How to Cite

Recommending software system for estimating the composition of heterogeneous robots for performance of agricultural operations. (2019). Proceedings of Voronezh State University. Series: Systems Analysis and Information Technologies, 4, 141-149. https://doi.org/10.17308/sait.2019.4/2689