Optimizing planting schedules and land use through advanced weather monitoring systems
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...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2024-01-01
|
| Series: | BIO Web of Conferences |
| Online Access: | https://www.bio-conferences.org/articles/bioconf/pdf/2024/64/bioconf_ForestryForum2024_04030.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846139556542283776 |
|---|---|
| author | Kravtsov Kirill Kukartsev Vladislav |
| author_facet | Kravtsov Kirill Kukartsev Vladislav |
| author_sort | Kravtsov Kirill |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-712a0f39e8ac40dcb95aafba35a14a3c |
| institution | Kabale University |
| issn | 2117-4458 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | BIO Web of Conferences |
| spelling | doaj-art-712a0f39e8ac40dcb95aafba35a14a3c2024-12-06T09:33:26ZengEDP SciencesBIO Web of Conferences2117-44582024-01-011450403010.1051/bioconf/202414504030bioconf_ForestryForum2024_04030Optimizing planting schedules and land use through advanced weather monitoring systemsKravtsov Kirill0Kukartsev Vladislav1Reshetnev Siberian State University of Science and TechnologyReshetnev Siberian State University of Science and TechnologyThis 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.https://www.bio-conferences.org/articles/bioconf/pdf/2024/64/bioconf_ForestryForum2024_04030.pdf |
| spellingShingle | Kravtsov Kirill Kukartsev Vladislav Optimizing planting schedules and land use through advanced weather monitoring systems BIO Web of Conferences |
| title | Optimizing planting schedules and land use through advanced weather monitoring systems |
| title_full | Optimizing planting schedules and land use through advanced weather monitoring systems |
| title_fullStr | Optimizing planting schedules and land use through advanced weather monitoring systems |
| title_full_unstemmed | Optimizing planting schedules and land use through advanced weather monitoring systems |
| title_short | Optimizing planting schedules and land use through advanced weather monitoring systems |
| title_sort | optimizing planting schedules and land use through advanced weather monitoring systems |
| url | https://www.bio-conferences.org/articles/bioconf/pdf/2024/64/bioconf_ForestryForum2024_04030.pdf |
| work_keys_str_mv | AT kravtsovkirill optimizingplantingschedulesandlandusethroughadvancedweathermonitoringsystems AT kukartsevvladislav optimizingplantingschedulesandlandusethroughadvancedweathermonitoringsystems |