The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
IoT in Agriculture: Designing a Europe-Wide Large-Scale Pilot
Abstract
The technologies associated with the Internet of Things have great potential for application in the domain of food and agriculture, especially in view of the societal and environmental challenges faced by this sector. From farm to fork, IoT technologies could transform the sector, contributing to food safety, and the reduction of agricultural inputs and food waste. A major step toward greater uptake of these technologies will be the execution of IoT-based large-scale pilots (LSPs) in the entire supply chain. This article outlines the challenges and constraints that an LSP deployment of IoT in this domain must consider. Sectoral and technological challenges are described in order to identify a set of technological and agrifood requirements. An architecture based on a system of systems approach is briefly presented, the importance of addressing the interoperability challenges faced by this sector is highlighted, and we elaborate on requirements for new business models, security, privacy, and data governance. A description of the technologies and solutions involved in designing pilots for four agrifood domains (dairy, fruit, arable, meat and vegetable supply chain) is eventually provided. In conclusion, it is noted that for IoT to be successful in this domain, a significant change of culture is needed.
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Citations
Cites
Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications
Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2444095 · Cited by 8,630
Internet of Things in industries: A survey
Xu, L. D., He, W., & Li, S. (2014) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2014.2300753 · Cited by 5,172
Long-Range IoT Technologies: The Dawn of LoRa™
Vangelista, L., Zanella, A., & Zorzi, M. (2015) · Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-319-27072-2_7 · Cited by 262
Cited by
Blockchain-based traceability in Agri-Food supply chain management: A practical implementation
Caro, M. P., Ali, M. S., Vecchio, M., & Giaffreda, R. (2018) · 2018 IoT Vertical and Topical Summit on Agriculture - Tuscany (IOT Tuscany) · doi:10.1109/iot-tuscany.2018.8373021 · Cited by 861
Smart Water Management Platform: IoT-Based Precision Irrigation for Agriculture
Kamienski, C., Soininen, J.-P., Taumberger, M., Dantas, R., Toscano, A., Salmon Cinotti, T., Filev Maia, R., & Torre Neto, A. (2019) · Sensors · doi:10.3390/s19020276 · Cited by 523
On a Novel Deep-Learning-Based Intelligent Partially Overlapping Channel Assignment in SDN-IoT
Tang, F., Mao, B., Fadlullah, Z. M., & Kato, N. (2018) · IEEE Communications Magazine · doi:10.1109/mcom.2018.1701227 · Cited by 123
Toward Secure Data Fusion in Industrial IoT Using Transfer Learning
Lin, H., Hu, J., Wang, X., Alhamid, M. F., & Piran, M. J. (2021) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2020.3038780 · Cited by 53
Metadata
- Authors
- Brewster, C., Roussaki, I., Kalatzis, N., Doolin, K., & Ellis, K.
- Venue
- IEEE Communications Magazine
- Published
- 2017
- Volume
- 55
- Issue
- 9
- Pages
- 26-33
- ISSN
- 0163-6804 (ISSN-L)
- OpenAlex
- W2751567280
- Cited by
- 364
- References
- 3
- FWCI
- 23.43
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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