The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A Systematic Review of IoT Solutions for Smart Farming
Open accessAbstract
The world population growth is increasing the demand for food production. Furthermore, the reduction of the workforce in rural areas and the increase in production costs are challenges for food production nowadays. Smart farming is a farm management concept that may use Internet of Things (IoT) to overcome the current challenges of food production. This work uses the preferred reporting items for systematic reviews (PRISMA) methodology to systematically review the existing literature on smart farming with IoT. The review aims to identify the main devices, platforms, network protocols, processing data technologies and the applicability of smart farming with IoT to agriculture. The review shows an evolution in the way data is processed in recent years. Traditional approaches mostly used data in a reactive manner. In more recent approaches, however, new technological developments allowed the use of data to prevent crop problems and to improve the accuracy of crop diagnosis.
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Cites
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2009.06.005 · Cited by 19,575
VineSens: An Eco-Smart Decision-Support Viticulture System
Pérez-Expósito, J., Fernández-Caramés, T., Fraga-Lamas, P., & Castedo, L. (2017) · Sensors · doi:10.3390/s17030465 · Cited by 86
Cited by
Internet of Things and smart sensors in agriculture: Scopes and challenges
Rajak, P., Ganguly, A., Adhikary, S., & Bhattacharya, S. (2023) · Journal of Agriculture and Food Research · doi:10.1016/j.jafr.2023.100776 · Cited by 355
A Systematic Survey on the Role of Cloud, Fog, and Edge Computing Combination in Smart Agriculture
Kalyani, Y., & Collier, R. (2021) · Sensors · doi:10.3390/s21175922 · Cited by 228
Application of Internet of Things (IoT) for Optimized Greenhouse Environments
Maraveas, C., & Bartzanas, T. (2021) · AgriEngineering · doi:10.3390/agriengineering3040060 · Cited by 106
Metadata
- Authors
- Navarro, E., Costa, N., & Pereira, A.
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2020-07-29
- Volume
- 20
- Issue
- 15
- Pages
- 4231
- ISSN
- 1424-8220 (ISSN-L)
- OpenAlex
- W3045788690
- Cited by
- 403
- References
- 2
- FWCI
- 5.84
- Type
- journal article
- Language
- en
- Open access
- gold
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
