Integration of UAVs into precision seeding systems: promising approaches to improving seeders in smart farming
Year: 2025
Type: conference-paper
Abstract: The paper considers promising methods for improving precision seeders, taking into account the integration of unmanned aerial vehicles (UAVs) and intelligent technologies. It is shown that modern precision seeding systems, supplemented by UAV capabilities for field mapping, crop monitoring and real-time data analysis, contribute to increasing the efficiency of agricultural operations, optimize UAV transport and technological cycles and resource use, and, accordingly, increase crop yields. Despite additional investments in technical equipment, the integration of UAVs into precision seeding systems reduces production costs and increases the yield of major agricultural crops. This confirms the economic feasibility of such integration for medium and large agricultural enterprises. The environmental benefits of the proposed solutions are associated with the optimization of land use, reduced impact on the soil and reduced consumption of agrochemicals. Further prospects for improving integrated UAV systems and precision seeders are associated with the development of machine learning algorithms for predicting optimal seeding parameters, the creation of fully autonomous monitoring and seeding systems, and the development of cloud platforms for data management in large-scale agricultural ecosystems.
Author: D.I. Kovalev
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: gold
OpenAlex ID: W4409482726