The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
An Overview of Internet of Things (IoT) and Data Analytics in Agriculture: Benefits and Challenges
Abstract
The surge in global population is compelling a shift toward smart agriculture practices. This coupled with the diminishing natural resources, limited availability of arable land, increase in unpredictable weather conditions makes food security a major concern for most countries. As a result, the use of Internet of Things (IoT) and data analytics (DA) are employed to enhance the operational efficiency and productivity in the agriculture sector. There is a paradigm shift from use of wireless sensor network (WSN) as a major driver of smart agriculture to the use of IoT and DA. The IoT integrates several existing technologies, such as WSN, radio frequency identification, cloud computing, middleware systems, and end-user applications. In this paper, several benefits and challenges of IoT have been identified. We present the IoT ecosystem and how the combination of IoT and DA is enabling smart agriculture. Furthermore, we provide future trends and opportunities which are categorized into technological innovations, application scenarios, business, and marketability.
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Cites
Food Security: The Challenge of Feeding 9 Billion People
Godfray, H. C. J., Beddington, J. R., Crute, I. R., Haddad, L., Lawrence, D., Muir, J. F., Pretty, J., Robinson, S., Thomas, S. M., & Toulmin, C. (2010) · Science · doi:10.1126/science.1185383 · Cited by 11,943
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
Low power wide area networks: an overview
Raza, U., Kulkarni, P., & Sooriyabandara, M. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2652320 · Cited by 2,047
A survey on LPWA technology: LoRa and NB-IoT
Sinha, R. S., Wei, Y., & Hwang, S.-H. (2017) · ICT Express · doi:10.1016/j.icte.2017.03.004 · Cited by 1,020 · cited 6×
“1) Interference: The deployment of massive IoT devices for agricultural and other purposes will cause interference problems especially with the IoT devices using the unlicensed spectrum, such as ZigBee, Wi-Fi, Sigfox, and LoRa (see Table II).”
BackgroundInfluentialBig IoT data analytics: Architecture, opportunities, and open research challenges
(2017) · IEEE Access · doi:10.1109/access.2017.2689040 · Cited by 980
An energy-efficient architecture for the Internet of Things (IoT)
Kaur, N., & Sood, S. K. (2017) · IEEE Systems Journal · doi:10.1109/jsyst.2015.2469676 · Cited by 282
sharma (2018) · doi:10.1109/mic.2018.112102519 · Cited by 220
Cited by
Digital twin: Enabling technologies, challenges and open research
Fuller, A., Fan, Z., Day, C., & Barlow, C. (2020) · IEEE Access · doi:10.1109/access.2020.2998358 · Cited by 2,965
Zhang, J., & Tao, D. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3039359 · Cited by 774
IoT-Enabled Smart Agriculture: Architecture, Applications, and Challenges
Quy, V. K., Hau, N. V., Anh, D. V., Quy, N. M., Ban, N. T., Lanza, S., Randazzo, G., & Muzirafuti, A. (2022) · Applied Sciences · doi:10.3390/app12073396 · Cited by 458
Machine learning and data analytics for the IoT
Adi, E., Anwar, A., Baig, Z., & Zeadally, S. (2020) · Neural Computing and Applications · doi:10.1007/s00521-020-04874-y · Cited by 279
Internet of Ships: A Survey on Architectures, Emerging Applications, and Challenges
Aslam, S., Michaelides, M. P., & Herodotou, H. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.2993411 · Cited by 261
Metadata
- Authors
- Elijah, O., Rahman, T. A., Orikumhi, I., Leow, C. Y., & Hindia, M. H. D. N.
- Venue
- IEEE Internet of Things Journal
- Published
- 2018-10
- Volume
- 5
- Issue
- 5
- Pages
- 3758-3773
- ISSN
- 2327-4662 (ISSN-L)
- 2372-2541
- OpenAlex
- W2806576037
- Cited by
- 1,467
- References
- 7
- FWCI
- 97.71
- Type
- journal article
- Language
- en
- Open access
- closed
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- Elijah, O., Rahman, T. A., Orikumhi, I., Leow, C. Y., & Hindia, M. H. D. N. (2018). An Overview of Internet of Things (IoT) and Data Analytics in Agriculture: Benefits and Challenges. IEEE Internet of Things Journal. https://doi.org/10.1109/jiot.2018.2844296
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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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