INCREASING THE PRODUCTIVITY OF THE AGRICULTURAL SECTOR USING NEW-GENERATION DRONES USING LIDAR AND GIS TECHNOLOGIES

Authors

DOI:

https://doi.org/10.30890/2567-5273.2025-42-03-110

Keywords:

drones, LiDAR, GIS, precision agriculture, agricultural sector productivity

Abstract

The article is devoted to the study of the possibilities of increasing the productivity of the agricultural sector through the use of new-generation drones and the integration of spatial digital technologies, in particular LiDAR and GIS, as a single intel

References

Farhan S.M., Yin J., Chen Z., Memon M.S. A comprehensive review of lidar applications in crop management for precision agriculture. Sensors, 2024, №16, 5409. URL: https://doi.org/10.3390/s24165409

Guebsi R., Mami S., Chokmani K. Drones in precision agriculture: a comprehensive review of applications, technologies, and challenges. Drones, 2024, №11, 686. URL: https://doi.org/10.3390/drones8110686

Melnychuk F. et al. The efficiency of unmanned aerial vehicles application for rapeseed productivity in ukraine. Research in agricultural engineering, 2024, №3, 167–173. URL: https://www.agriculturejournals.cz/artkey/rae-202403-0005_the-efficiency-of-unmanned-aerial-vehicles-application-for-rapeseed-productivity-in-ukraine.php

Miller T., Mikiciuk G., Durlik I., Mikiciuk M., Łobodzińska A., Śnieg M. The iot and ai in agriculture: the time is now—a systematic review of smart sensing technologies. Sensors, 2025, №12, 3583. URL: https://doi.org/10.3390/s25123583

Minaiev D., Radelytskyy Y. The concept of agricultural activity management – precision farming and the role of geoinformation technologies. Lnu, 2023, №65. URL: https://publications.lnu.edu.ua/bulletins/index.php/economics/article/view/12137

Precision agriculture & farm management. Esri, 2026. URL: https://www.esri.com/en-us/industries/agriculture/overview

Rivera-Zárate G. et al. Lidar applications in precision agriculture for cultivating crops. Computers and electronics in agriculture, elsevier, 2023, №207, 107737. URL: https://cathi.uacj.mx/bitstream/handle/20.500.11961/25581/CompAg%20207%20%28107737%29.pdf

Safaeinezhad M., Ghasemi-Nejad-Raeini M., Taki M. Performance evaluation of spraying drones compared to boom sprayers for spray applications. Scientific reports, 2025, №15, 41521. URL: https://doi.org/10.1038/s41598-025-25353-1

Sylvester G. E-agriculture in action: drones for agriculture. Food and agriculture organization of the united-nations, international telecommunication union, 2018. URL: https://openknowledge.fao.org/server/api/core/bitstreams/5d85a726-91df-47f2-b986-9970261a1ed4/content

ten Harkel J., Bartholomeus H., Kooistra L. Biomass and crop height estimation of different crops using uav-based lidar. Remote sensing, 2020, №1, 17. URL: https://doi.org/10.3390/rs12010017

Yee L., Chui M., Roberts R., Smit S. The top trends in tech (technology trends outlook 2025). Mckinsey, 2025. URL: https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/the-top-trends-in-tech

Zatserkovnyi V., Vorokh V., Hloba O., Mironchuk T., Plichko L. Features of gis, gps, remote sensing and ai application in the study of soil characteristics. Bulletin of taras shevchenko national university of kyiv. geology, 2025, №3(110), 98–107. URL: https://doi.org/10.17721/1728-2713.110.11

Kovalchuk A. Complex model of business consulting for small and medium-sized enterprises. Theory, methodology and practice of implementation. Internauka Publishing House, 2025, 98 р. URL: https://www.inter-nauka.com/uploads/public/1747985326472.pdf

Published

2025-12-30

How to Cite

Семіряков, О. (2025). INCREASING THE PRODUCTIVITY OF THE AGRICULTURAL SECTOR USING NEW-GENERATION DRONES USING LIDAR AND GIS TECHNOLOGIES. Modern Engineering and Innovative Technologies, 3(42-03), 288–299. https://doi.org/10.30890/2567-5273.2025-42-03-110

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Section

Articles