| Issue |
BIO Web Conf.
Volume 105, 2024
IV International Conference on Agricultural Engineering and Green Infrastructure for Sustainable Development (AEGISD-IV 2024)
|
|
|---|---|---|
| Article Number | 03009 | |
| Number of page(s) | 5 | |
| Section | Digital Technologies and Automation in Agriculture | |
| DOI | https://doi.org/10.1051/bioconf/202410503009 | |
| Published online | 26 April 2024 | |
Navigation systems for agricultural machinery for adaptive-landscape farming
1 “Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, Tashkent, 100000, Uzbekistan
2 Chirchik State Pedagogical University, st. Amir Temur, street house 104, Chirchik city, Uzbekistan
* Corresponding author: jaxongirqosimov7@gmail.com
The GLONASS navigator is a versatile tool with diverse applications spanning air, sea, and land navigation. In agriculture, it facilitates adaptive-landscape farming by tailoring practices to specific soil and climate conditions, reducing search costs, and enhancing accuracy for surveyors and farmers. Beyond agriculture, GLONASS technology revolutionizes transportation by enabling shorter flight times, optimizing traffic flow, and even supporting aircraft control with autonomous landing prototypes. Its integration into various devices like watches, mobile phones, cars, and GPS-equipped dog collars further extends its utility. The widespread adoption of GLONASS in navigation and traffic management promises enhanced efficiency and safety across industries, including agriculture. As this technology evolves and becomes more accessible, its potential applications are poised to expand, offering exciting prospects for the future of adaptive-landscape farming and navigation across land, water, and air. While GLONASS is a powerful tool for navigation globally, it may face limitations in signal reception in underground areas like parking lots, caves, and chambers.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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