Design and Implementation of an Energy-Efficient Weather Station for Wind Data Collection
Agriculture faces critical challenges caused by changing climatic factors and weather patterns with random distribution. This has increased the need for accurate local weather predictions and weather data collection to support precision agriculture. The demand for uninterrupted weather stations is o...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-06-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/11/3831 |
| _version_ | 1827690855955169280 |
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| author | Padma Balaji Leelavinodhan Massimo Vecchio Fabio Antonelli Andrea Maestrini Davide Brunelli |
| author_facet | Padma Balaji Leelavinodhan Massimo Vecchio Fabio Antonelli Andrea Maestrini Davide Brunelli |
| author_sort | Padma Balaji Leelavinodhan |
| collection | DOAJ |
| description | Agriculture faces critical challenges caused by changing climatic factors and weather patterns with random distribution. This has increased the need for accurate local weather predictions and weather data collection to support precision agriculture. The demand for uninterrupted weather stations is overwhelming, and the Internet of Things (IoT) has the potential to address this demand. One major challenge of energy constraint in remotely deployed IoT devices can be resolved using weather stations that are energy neutral. This paper focuses on optimizing the energy consumption of a weather station by optimizing the data collected and sent from the sensor deployed in remote locations. An asynchronous optimization algorithm for wind data collection has been successfully developed, using the development lifecyle specifically designed for weather stations and focused on achieving energy neutrality. The developed IoT weather station was deployed in the field, and it has the potential to reduce the power consumption of the weather station by more than 60%. |
| first_indexed | 2024-03-10T10:48:52Z |
| format | Article |
| id | doaj.art-751c2554edac4dd88884c3474ce4d86a |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T10:48:52Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-751c2554edac4dd88884c3474ce4d86a2023-11-21T22:23:05ZengMDPI AGSensors1424-82202021-06-012111383110.3390/s21113831Design and Implementation of an Energy-Efficient Weather Station for Wind Data CollectionPadma Balaji Leelavinodhan0Massimo Vecchio1Fabio Antonelli2Andrea Maestrini3Davide Brunelli4OpenIoT Research Unit, Fondazione Bruno Kessler, 38123 Trento, ItalyOpenIoT Research Unit, Fondazione Bruno Kessler, 38123 Trento, ItalyOpenIoT Research Unit, Fondazione Bruno Kessler, 38123 Trento, ItalyOpenIoT Research Unit, Fondazione Bruno Kessler, 38123 Trento, ItalyDepartment of Industrial Engineering, University of Trento, 38122 Trento, ItalyAgriculture faces critical challenges caused by changing climatic factors and weather patterns with random distribution. This has increased the need for accurate local weather predictions and weather data collection to support precision agriculture. The demand for uninterrupted weather stations is overwhelming, and the Internet of Things (IoT) has the potential to address this demand. One major challenge of energy constraint in remotely deployed IoT devices can be resolved using weather stations that are energy neutral. This paper focuses on optimizing the energy consumption of a weather station by optimizing the data collected and sent from the sensor deployed in remote locations. An asynchronous optimization algorithm for wind data collection has been successfully developed, using the development lifecyle specifically designed for weather stations and focused on achieving energy neutrality. The developed IoT weather station was deployed in the field, and it has the potential to reduce the power consumption of the weather station by more than 60%.https://www.mdpi.com/1424-8220/21/11/3831weather stationwind dataenergy neutralityprecision agriculturemeteorology |
| spellingShingle | Padma Balaji Leelavinodhan Massimo Vecchio Fabio Antonelli Andrea Maestrini Davide Brunelli Design and Implementation of an Energy-Efficient Weather Station for Wind Data Collection Sensors weather station wind data energy neutrality precision agriculture meteorology |
| title | Design and Implementation of an Energy-Efficient Weather Station for Wind Data Collection |
| title_full | Design and Implementation of an Energy-Efficient Weather Station for Wind Data Collection |
| title_fullStr | Design and Implementation of an Energy-Efficient Weather Station for Wind Data Collection |
| title_full_unstemmed | Design and Implementation of an Energy-Efficient Weather Station for Wind Data Collection |
| title_short | Design and Implementation of an Energy-Efficient Weather Station for Wind Data Collection |
| title_sort | design and implementation of an energy efficient weather station for wind data collection |
| topic | weather station wind data energy neutrality precision agriculture meteorology |
| url | https://www.mdpi.com/1424-8220/21/11/3831 |
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