The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Applications of Smartphone-Based Sensors in Agriculture: A Systematic Review of Research
Open accessAbstract
Smartphones have become a useful tool in agriculture because their mobility matches the nature of farming, the cost of the device is highly accessible, and their computing power allows a variety of practical applications to be created. Moreover, smartphones are nowadays equipped with various types of physical sensors which make them a promising tool to assist diverse farming tasks. This paper systematically reviews smartphone applications mentioned in research literature that utilize smartphone built-in sensors to provide agricultural solutions. The initial 1,500 articles identified through database search were screened based on exclusion criteria and then reviewed thoroughly in full text, resulting in 22 articles included in this review. The applications are categorized according to their agricultural functions. Those articles reviewed describe 12 farming applications, 6 farm management applications, 3 information system applications, and 4 extension service applications. GPS and cameras are the most popular sensors used in the reviewed papers. This shows an opportunity for future applications to utilize other sensors such as accelerometer to provide advanced agricultural solutions.
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Cites
A Systematic Review of Healthcare Applications for Smartphones
Mosa, A. S. M., Yoo, I., & Sheets, L. (2012) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-12-67 · Cited by 1,184
Moher, D. (2009) · Journal of Chinese Integrative Medicine · doi:10.3736/jcim20090918 · Cited by 909
A GPS/GIS method for travel mode detection in New York City
Gong, H., Chen, C., Bialostozky, E., & Lawson, C. T. (2012) · Computers, Environment and Urban Systems · doi:10.1016/j.compenvurbsys.2011.05.003 · Cited by 292 · cited 1×
“, maps), GPS data have also been used to infer transportation modes [35].”
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Cited by
Fuzzy Logic based Smart Irrigation System using Internet of Things
Krishnan, R. S., Julie, E. G., Robinson, Y. H., Raja, S., Kumar, R., Thong, P. H., & Son, L. H. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.119902 · Cited by 269
Metadata
- Authors
- Pongnumkul, S., Chaovalit, P., & Surasvadi, N.
- Venue
- Journal of Sensors
- Publisher
- Hindawi Limited
- Published
- 2015
- Volume
- 2015
- Pages
- 1-18
- ISSN
- 1687-725X (ISSN-L)
- 1687-7268
- OpenAlex
- W1537226067
- Cited by
- 223
- References
- 3
- FWCI
- 1.29
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.