The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Smart Water Management Platform: IoT-Based Precision Irrigation for Agriculture
Open accessAbstract
The smart management of freshwater for precision irrigation in agriculture is essential for increasing crop yield and decreasing costs, while contributing to environmental sustainability. The intense use of technologies offers a means for providing the exact amount of water needed by plants. The Internet of Things (IoT) is the natural choice for smart water management applications, even though the integration of different technologies required for making it work seamlessly in practice is still not fully accomplished. The SWAMP project develops an IoT-based smart water management platform for precision irrigation in agriculture with a hands-on approach based on four pilots in Brazil and Europe. This paper presents the SWAMP architecture, platform, and system deployments that highlight the replicability of the platform, and, as scalability is a major concern for IoT applications, it includes a performance analysis of FIWARE components used in the Platform. Results show that it is able to provide adequate performance for the SWAMP pilots, but requires specially designed configurations and the re-engineering of some components to provide higher scalability using less computational resources.
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Cites
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Cited by
Kanellopoulos, D., Sharma, V. K., Panagiotakopoulos, T., & Kameas, A. (2023) · Electronics · doi:10.3390/electronics12112490 · Cited by 120
Digital twin-based intelligent fish farming with Artificial Intelligence Internet of Things (AIoT)
Ubina, N. A., Lan, H.-Y., Cheng, S.-C., Chang, C.-C., Lin, S.-S., Zhang, K.-X., Lu, H.-Y., Cheng, C.-Y., & Hsieh, Y.-Z. (2023) · Smart Agricultural Technology · doi:10.1016/j.atech.2023.100285 · Cited by 82
Metadata
- Authors
- Kamienski, C., Soininen, J.-P., Taumberger, M., Dantas, R., Toscano, A., Salmon Cinotti, T., Filev Maia, R., & Torre Neto, A.
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2019-01-11
- Volume
- 19
- Issue
- 2
- Pages
- 276
- ISSN
- 1424-8220 (ISSN-L)
- OpenAlex
- W2908948085
- Cited by
- 523
- References
- 22
- FWCI
- 40.17
- Type
- journal article
- Language
- en
- Open access
- gold
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- Kamienski, C., Soininen, J.-P., Taumberger, M., Dantas, R., Toscano, A., Salmon Cinotti, T., Filev Maia, R., & Torre Neto, A. (2019). Smart Water Management Platform: IoT-Based Precision Irrigation for Agriculture. Sensors. https://doi.org/10.3390/s19020276
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
