| Issue |
BIO Web Conf.
Volume 145, 2024
International Scientific Forestry Forum 2024: Forest Ecosystems as Global Resource of the Biosphere: Calls, Threats, Solutions (Forestry Forum 2024)
|
|
|---|---|---|
| Article Number | 04030 | |
| Number of page(s) | 9 | |
| Section | Forest Monitoring, Conservation and Protection of Forests | |
| DOI | https://doi.org/10.1051/bioconf/202414504030 | |
| Published online | 28 November 2024 | |
Optimizing planting schedules and land use through advanced weather monitoring systems
1 Reshetnev Siberian State University of Science and Technology, 660037, Krasnoyarsk, Russia
2 Bauman Moscow State Technical University, 105005 Moscow, Russia
3 RSAU-MAA Named after K.A. Timiryazev, 127434 Moscow, Russia
* Corresponding author: rhfdwjdr1@gmail.com
This article explores the development of an information system (IS) designed to monitor weather conditions and optimize planting schedules and land use for agricultural activities. Leveraging advanced modeling techniques, the system’s architecture and processes are meticulously mapped out to ensure clarity and efficiency. The system collects weather data from ground-based sensors, satellite imagery, and drones, which is then analyzed to provide actionable insights. Key components include the WeatherDataCollector, WeatherAnalyzer, PlantingScheduleOptimizer, and NotificationManager. Sequence diagrams illustrate the interactions between these components, from data collection to analysis and dissemination of recommendations. The system enhances decision-making for farmers, improving crop yields and optimizing land use while mitigating risks associated with adverse weather conditions. By integrating robust data management and analytical capabilities, the IS provides a scalable and reliable solution for modern agriculture, driving innovation and sustainability in the sector. This work underscores the transformative potential of technology in optimizing agricultural practices and land management.
© 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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