CultivData: Application of IoT to the Cultivation of Agricultural Data
CultivData proposes the convergence of technologies, such as IoT, big data, HPC, open data and artificial intelligence, to apply HPDA (High Performance Data Analytics) to the cultivation of agricultural data and improve the efficiency and effectiveness of farms. An information system has been develo...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-09-01
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| Series: | IoT |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2624-831X/2/4/29 |
| _version_ | 1797503557321097216 |
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| author | Felipe Lemus-Prieto Juan Francisco Bermejo Martín José-Luis Gónzalez-Sánchez Enrique Moreno Sánchez |
| author_facet | Felipe Lemus-Prieto Juan Francisco Bermejo Martín José-Luis Gónzalez-Sánchez Enrique Moreno Sánchez |
| author_sort | Felipe Lemus-Prieto |
| collection | DOAJ |
| description | CultivData proposes the convergence of technologies, such as IoT, big data, HPC, open data and artificial intelligence, to apply HPDA (High Performance Data Analytics) to the cultivation of agricultural data and improve the efficiency and effectiveness of farms. An information system has been developed as an IT platform for the cultivation of open data to extract knowledge and to support the decision making of stakeholders in the agricultural sector, so that it is possible to improve product quality and farm productivity. The resulting system integrates access to data provided by IoT devices that sensorize farms and public and open data sources (Open Data). The platform was designed to make precision agriculture a reality and to be useful not only to farmers, but also to agricultural decision-makers who plan species and crops based on data such as available water; expected weather; prices and market demands, and so forth. In addition, the platform provides to agricultural producers access to historical climate data; climate forecasts to anticipate times of drought or disasters; pest situations or monitoring of their plantations with sensorization and orthophotographs. |
| first_indexed | 2024-03-10T03:52:22Z |
| format | Article |
| id | doaj.art-0f3f64ae42324d5ab8b2fdf5f59a403d |
| institution | Directory Open Access Journal |
| issn | 2624-831X |
| language | English |
| last_indexed | 2024-03-10T03:52:22Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | IoT |
| spelling | doaj.art-0f3f64ae42324d5ab8b2fdf5f59a403d2023-11-23T08:54:14ZengMDPI AGIoT2624-831X2021-09-012456458910.3390/iot2040029CultivData: Application of IoT to the Cultivation of Agricultural DataFelipe Lemus-Prieto0Juan Francisco Bermejo Martín1José-Luis Gónzalez-Sánchez2Enrique Moreno Sánchez3CénitS–COMPUTAEX, Extremadura Supercomputing, Technological Innovation and Research Center, 10071 Cáceres, SpainCénitS–COMPUTAEX, Extremadura Supercomputing, Technological Innovation and Research Center, 10071 Cáceres, SpainCénitS–COMPUTAEX, Extremadura Supercomputing, Technological Innovation and Research Center, 10071 Cáceres, SpainCénitS–COMPUTAEX, Extremadura Supercomputing, Technological Innovation and Research Center, 10071 Cáceres, SpainCultivData proposes the convergence of technologies, such as IoT, big data, HPC, open data and artificial intelligence, to apply HPDA (High Performance Data Analytics) to the cultivation of agricultural data and improve the efficiency and effectiveness of farms. An information system has been developed as an IT platform for the cultivation of open data to extract knowledge and to support the decision making of stakeholders in the agricultural sector, so that it is possible to improve product quality and farm productivity. The resulting system integrates access to data provided by IoT devices that sensorize farms and public and open data sources (Open Data). The platform was designed to make precision agriculture a reality and to be useful not only to farmers, but also to agricultural decision-makers who plan species and crops based on data such as available water; expected weather; prices and market demands, and so forth. In addition, the platform provides to agricultural producers access to historical climate data; climate forecasts to anticipate times of drought or disasters; pest situations or monitoring of their plantations with sensorization and orthophotographs.https://www.mdpi.com/2624-831X/2/4/29IoTbig dataopen datasupercomputingartificial intelligencehigh performance computing |
| spellingShingle | Felipe Lemus-Prieto Juan Francisco Bermejo Martín José-Luis Gónzalez-Sánchez Enrique Moreno Sánchez CultivData: Application of IoT to the Cultivation of Agricultural Data IoT IoT big data open data supercomputing artificial intelligence high performance computing |
| title | CultivData: Application of IoT to the Cultivation of Agricultural Data |
| title_full | CultivData: Application of IoT to the Cultivation of Agricultural Data |
| title_fullStr | CultivData: Application of IoT to the Cultivation of Agricultural Data |
| title_full_unstemmed | CultivData: Application of IoT to the Cultivation of Agricultural Data |
| title_short | CultivData: Application of IoT to the Cultivation of Agricultural Data |
| title_sort | cultivdata application of iot to the cultivation of agricultural data |
| topic | IoT big data open data supercomputing artificial intelligence high performance computing |
| url | https://www.mdpi.com/2624-831X/2/4/29 |
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