The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Internet of things for smart agriculture: Technologies, practices and future direction
Abstract
The advent of Internet of Things (IoT) has shown a new direction of innovative research in agricultural domain. Being at nascent stage, IoT needs to be widely experimented so as to get widely applied in various agricultural applications. In this pape
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Cites
The Internet of Things: A survey
Atzori, L., Iera, A., & Morabito, G. (2010) · Computer Networks · doi:10.1016/j.comnet.2010.05.010 · Cited by 15,613
Internet of Things (IoT): A vision, architectural elements, and future directions
Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013) · Future Generation Computer Systems · doi:10.1016/j.future.2013.01.010 · Cited by 12,293
Internet of Things: Applications and Challenges in Technology and Standardization
Bandyopadhyay, D., & Sen, J. (2011) · Wireless Personal Communications · doi:10.1007/s11277-011-0288-5 · Cited by 1,507
Wireless sensor networks for agriculture: The state-of-the-art in practice and future challenges
Ojha, T., Misra, S., & Raghuwanshi, N. S. (2015) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2015.08.011 · Cited by 894
Environmental Sensor Networks: A revolution in the earth system science?
Hart, J. K., & Martinez, K. (2006) · Earth-Science Reviews · doi:10.1016/j.earscirev.2006.05.001 · Cited by 778
Big-data applications in the government sector
Kim, G.-H., Trimi, S., & Chung, J.-H. (2014) · Communications of the ACM · doi:10.1145/2500873 · Cited by 632
Environmental Wireless Sensor Networks
Corke, P., Wark, T., Jurdak, R., et al. (2010) · Proceedings of the IEEE · doi:10.1109/jproc.2010.2068530 · Cited by 507
Environmental parameters monitoring in precision agriculture using wireless sensor networks
Srbinovska, M., Gavrovski, C., Dimcev, V., Krkoleva, A., & Borozan, V. (2015) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2014.04.036 · Cited by 473
The Emerging Global Water Crisis: Managing Scarcity and Conflict Between Water Users
Jury, W. A., & Vaux, H. J. (2007) · Advances in Agronomy · doi:10.1016/s0065-2113(07)95001-4 · Cited by 457
The role of RFID in agriculture: Applications, limitations and challenges
Ruiz-Garcia, L., & Lunadei, L. (2011) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2011.08.010 · Cited by 385
Cited by
Survey, comparison and research challenges of IoT application protocols for smart farming
Glaroudis, D., Iossifides, A., & Chatzimisios, P. (2020) · Computer Networks · doi:10.1016/j.comnet.2019.107037 · Cited by 253
Edge computing for Internet of Things: a survey, e-healthcare case study and future direction
Ray, P. P., Dash, D., & De, D. (2019) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2019.05.005 · Cited by 241
Analyzing and assessing explainable AI models for smart agriculture environments
Cartolano, A., Cuzzocrea, A., & Pilato, G. (2024) · Multimedia Tools and Applications · doi:10.1007/s11042-023-17978-z · Cited by 92
Metadata
- Authors
- Ray, P. P.
- Venue
- Journal of Ambient Intelligence and Smart Environments
- Publisher
- SAGE Publications
- Published
- 2017-06-19
- Volume
- 9
- Issue
- 4
- Pages
- 395-420
- ISSN
- 1876-1364 (ISSN-L)
- 1876-1372
- OpenAlex
- W2662576920
- Cited by
- 532
- References
- 31
- FWCI
- 25.90
- Type
- journal article
- Language
- en
- Open access
- closed
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
