Development of road graphs based on geodata to support decision- making on the order of processing fields within the farm with certain agricultural machinery

  • Anton A. Petrov Kuban state agrarian University, named after I. T. Trubilin
  • Elena V. Popova Kuban state agrarian University, named after I. T. Trubilin
  • Bozhena M. Balzhanova Kuban state agrarian University, named after I. T. Trubilin
  • Polina I. Maslackova Kuban state agrarian University, named after I. T. Trubilin
Keywords: agriculture, algorithm, roads, routes, agricultural machinery

Abstract

Purpose: the article is devoted to the issues of automation and digitalization of agricultural problems, the problem of collecting disordered geo-tags of agricultural machinery, the study and implementation of an algorithm for generating road graphs in the agricultural sector. Discussion: the research is carried out in the field of navigation data processing, collection of geo-tags from agricultural machinery by obtaining data from a satellite. A method for processing disordered geo-data and extraction of agricultural machinery routes from geographical points is proposed. The urgency of solving this problem lies in the subsequent use of the algorithm for generating a road graph by geotags to solve problems such as identifying and building optimal routes with sufficient accuracy, monitoring and analyzing cultivated areas, and creating a digital map of the area. Results: the authors developed an algorithm for generating road graphs, considered the problems of collecting and processing geographical points of coordinates, proposed a method for solving the identified problems, with a detailed description of all steps of the algorithm, presented the successful results of its application.

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Published
2022-01-10
How to Cite
Petrov, A. A., Popova , E. V., Balzhanova, B. M., & Maslackova, P. I. (2022). Development of road graphs based on geodata to support decision- making on the order of processing fields within the farm with certain agricultural machinery. Modern Economics: Problems and Solutions, 12, 24-35. https://doi.org/10.17308/meps.2021.12/2728
Section
Mathematical Methods in Economics