IMPROVING AGRICULTURAL PRODUCTIVITY USING MODERN DRONE TECHNOLOGIES WITH INTEGRATED LIDAR AND GIS

Oleksandr Semiriakov

doi:10.36074/logos-06.02.2026.032

IMPROVING AGRICULTURAL PRODUCTIVITY USING MODERN DRONE TECHNOLOGIES WITH INTEGRATED LIDAR AND GIS

Oleksandr Semiriakov

Conference proceedings: Sammlung wissenschaftlicher Arbeiten «ΛΌГOΣ» zu den Materialien der IX internationalen wissenschaftlich-praktischen Konferenz «Grundlagen der modernen wissenschaftlichen Forschung» (Zürich, Schweizerische Eidgenossenschaft; 6. Februar, 2026)

Section: Information technologies and systems

Publication date: 2026/02/06

Pages: 182-188

DOI: 10.36074/logos-06.02.2026.032

ISBN: 978-617-8440-87-9

Publisher: BOLESWA Publishers

Language: en

PDF for indexing Original PDF in OJS archive DOI

Abstract

Global agriculture is currently operating under severe pressure, as the population is growing, climate change is intensifying, and natural resource degradation is deepening, which directly increases the risks to the stability of food systems. The problem of water resources is becoming particularly acute, as the areas with water shortages for agricultural production are predicted to expand, and therefore there is a need for more water-saving technologies and intelligent irrigation management.

Author affiliations

Oleksandr Semiriakov: Podilskyi State Agrarian and Technical University, UKRAINE; ORCID

References

Farhan, S. M., Yin, J., Chen, Z., & Memon, M. S. (2024). A comprehensive review of lidar applications in crop management for precision agriculture. Sensors, 16, 5409. https://doi.org/10.3390/s24165409
Guebsi, R., Mami, S., & Chokmani, K. (2024). Drones in precision agriculture: A comprehensive review of applications, technologies, and challenges. Drones, 11, 686. https://doi.org/10.3390/drones8110686
Minaiev, D., & Radelytskyy, Y. (2023). The concept of agricultural activity management – precision farming and the role of geoinformation technologies. LNU Bulletin, 65. https://publications.lnu.edu.ua/bulletins/index.php/economics/article/view/12137
ten Harkel, J., Bartholomeus, H., & Kooistra, L. (2020). Biomass and crop height estimation of different crops using UAV‑based lidar. Remote Sensing, 12(1), 17. https://doi.org/10.3390/rs12010017
Yee, L., Chui, M., Roberts, R., & Smit, S. (2025). The top trends in tech (Technology trends outlook 2025). McKinsey & Company. 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. (2025). Features of GIS, GPS, remote sensing and AI application in the study of soil characteristics. Bulletin of Taras Shevchenko National University of Kyiv. Geology, 3(110), 98–107. https://doi.org/10.17721/1728-2713.110.11

[1] Farhan, S. M., Yin, J., Chen, Z., & Memon, M. S. (2024). A comprehensive review of lidar applications in crop management for precision agriculture. Sensors, 16, 5409. https://doi.org/10.3390/s24165409

[2] Guebsi, R., Mami, S., & Chokmani, K. (2024). Drones in precision agriculture: A comprehensive review of applications, technologies, and challenges. Drones, 11, 686. https://doi.org/10.3390/drones8110686

[3] Minaiev, D., & Radelytskyy, Y. (2023). The concept of agricultural activity management – precision farming and the role of geoinformation technologies. LNU Bulletin, 65. https://publications.lnu.edu.ua/bulletins/index.php/economics/article/view/12137

[4] ten Harkel, J., Bartholomeus, H., & Kooistra, L. (2020). Biomass and crop height estimation of different crops using UAV‑based lidar. Remote Sensing, 12(1), 17. https://doi.org/10.3390/rs12010017

[5] Yee, L., Chui, M., Roberts, R., & Smit, S. (2025). The top trends in tech (Technology trends outlook 2025). McKinsey & Company. https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/the-top-trends-in-tech

[6] Zatserkovnyi, V., Vorokh, V., Hloba, O., Mironchuk, T., & Plichko, L. (2025). Features of GIS, GPS, remote sensing and AI application in the study of soil characteristics. Bulletin of Taras Shevchenko National University of Kyiv. Geology, 3(110), 98–107. https://doi.org/10.17721/1728-2713.110.11