Climate-Aware and IoT-Enabled Selection of the Most Suitable Stone Fruit Tree Variety
The application of new technologies such as the Internet of Things offers the opportunity to improve current agricultural development, facilitate daily tasks, and turn farms into efficient and sustainable production systems. The use of these new technologies enables the digital transformation proces...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-06-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/11/3867 |
| _version_ | 1797531440200548352 |
|---|---|
| author | Juan A. López-Morales Juan A. Martínez Manuel Caro Manuel Erena Antonio F. Skarmeta |
| author_facet | Juan A. López-Morales Juan A. Martínez Manuel Caro Manuel Erena Antonio F. Skarmeta |
| author_sort | Juan A. López-Morales |
| collection | DOAJ |
| description | The application of new technologies such as the Internet of Things offers the opportunity to improve current agricultural development, facilitate daily tasks, and turn farms into efficient and sustainable production systems. The use of these new technologies enables the digital transformation process demanded by the sector and provides agricultural collectives with more optimized analysis and prediction tools. Due to climate change, one of the farm industry’s problems is the advance or decay in the cycle of stone fruit trees. The objective is to recommend whether a specific area meets the minimum climatic requirements for planting certain stone fruit trees based on climatic data and bioclimatic indicators. The methodology used implements a large amount of meteorological data to generate information on specific climatic conditions and interactions on crops. In this work, a pilot study has been carried out in the Region of Murcia using an IoT platform. We simulate scenarios for the development of stone fruit varieties better adapted to the environment. Based on the standard, open interfaces, and protocols, the platform integrates heterogeneous information sources and interoperability with other third-party solutions to exchange and exploit such information. |
| first_indexed | 2024-03-10T10:43:50Z |
| format | Article |
| id | doaj.art-4522c0468ca74d36b13b59493de4ae4e |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T10:43:50Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-4522c0468ca74d36b13b59493de4ae4e2023-11-21T22:42:49ZengMDPI AGSensors1424-82202021-06-012111386710.3390/s21113867Climate-Aware and IoT-Enabled Selection of the Most Suitable Stone Fruit Tree VarietyJuan A. López-Morales0Juan A. Martínez1Manuel Caro2Manuel Erena3Antonio F. Skarmeta4Department of Information and Communications Engineering, Computer Science Faculty, University of Murcia, 30100 Murcia, SpainOdin Solutions S.L., Polígono Industrial Oeste C/ Perú, 5, 3º, Oficina 12, 30820 Alcantarilla, SpainInstitute of Agricultural and Food Research and Development of Murcia-IMIDA, Mayor Street, 30150 La Alberca, SpainInstitute of Agricultural and Food Research and Development of Murcia-IMIDA, Mayor Street, 30150 La Alberca, SpainDepartment of Information and Communications Engineering, Computer Science Faculty, University of Murcia, 30100 Murcia, SpainThe application of new technologies such as the Internet of Things offers the opportunity to improve current agricultural development, facilitate daily tasks, and turn farms into efficient and sustainable production systems. The use of these new technologies enables the digital transformation process demanded by the sector and provides agricultural collectives with more optimized analysis and prediction tools. Due to climate change, one of the farm industry’s problems is the advance or decay in the cycle of stone fruit trees. The objective is to recommend whether a specific area meets the minimum climatic requirements for planting certain stone fruit trees based on climatic data and bioclimatic indicators. The methodology used implements a large amount of meteorological data to generate information on specific climatic conditions and interactions on crops. In this work, a pilot study has been carried out in the Region of Murcia using an IoT platform. We simulate scenarios for the development of stone fruit varieties better adapted to the environment. Based on the standard, open interfaces, and protocols, the platform integrates heterogeneous information sources and interoperability with other third-party solutions to exchange and exploit such information.https://www.mdpi.com/1424-8220/21/11/3867cold unitsinteroperabilityIoT platformsmart agriculturestone fruitsweather |
| spellingShingle | Juan A. López-Morales Juan A. Martínez Manuel Caro Manuel Erena Antonio F. Skarmeta Climate-Aware and IoT-Enabled Selection of the Most Suitable Stone Fruit Tree Variety Sensors cold units interoperability IoT platform smart agriculture stone fruits weather |
| title | Climate-Aware and IoT-Enabled Selection of the Most Suitable Stone Fruit Tree Variety |
| title_full | Climate-Aware and IoT-Enabled Selection of the Most Suitable Stone Fruit Tree Variety |
| title_fullStr | Climate-Aware and IoT-Enabled Selection of the Most Suitable Stone Fruit Tree Variety |
| title_full_unstemmed | Climate-Aware and IoT-Enabled Selection of the Most Suitable Stone Fruit Tree Variety |
| title_short | Climate-Aware and IoT-Enabled Selection of the Most Suitable Stone Fruit Tree Variety |
| title_sort | climate aware and iot enabled selection of the most suitable stone fruit tree variety |
| topic | cold units interoperability IoT platform smart agriculture stone fruits weather |
| url | https://www.mdpi.com/1424-8220/21/11/3867 |
| work_keys_str_mv | AT juanalopezmorales climateawareandiotenabledselectionofthemostsuitablestonefruittreevariety AT juanamartinez climateawareandiotenabledselectionofthemostsuitablestonefruittreevariety AT manuelcaro climateawareandiotenabledselectionofthemostsuitablestonefruittreevariety AT manuelerena climateawareandiotenabledselectionofthemostsuitablestonefruittreevariety AT antoniofskarmeta climateawareandiotenabledselectionofthemostsuitablestonefruittreevariety |