The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Automated Irrigation System Using a Wireless Sensor Network and GPRS Module
Abstract
An automated irrigation system was developed to optimize water use for agricultural crops. The system has a distributed wireless network of soil-moisture and temperature sensors placed in the root zone of the plants. In addition, a gateway unit handles sensor information, triggers actuators, and transmits data to a web application. An algorithm was developed with threshold values of temperature and soil moisture that was programmed into a microcontroller-based gateway to control water quantity. The system was powered by photovoltaic panels and had a duplex communication link based on a cellular-Internet interface that allowed for data inspection and irrigation scheduling to be programmed through a web page. The automated system was tested in a sage crop field for 136 days and water savings of up to 90% compared with traditional irrigation practices of the agricultural zone were achieved. Three replicas of the automated system have been used successfully in other places for 18 months. Because of its energy autonomy and low cost, the system has the potential to be useful in water limited geographically isolated areas.
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Cites
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Cited by
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
Energy-Efficient Wireless Sensor Networks for Precision Agriculture: A Review
Jawad, H., Nordin, R., Gharghan, S., Jawad, A., & Ismail, M. (2017) · Sensors · doi:10.3390/s17081781 · Cited by 710
The digitization of agricultural industry – a systematic literature review on agriculture 4.0
Abbasi, R., Martinez, P., & Ahmad, R. (2022) · Smart Agricultural Technology · doi:10.1016/j.atech.2022.100042 · Cited by 531
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
Sengupta, A., Gill, S. S., Das, A., & De, D. (2021) · Mobile Edge Computing · doi:10.1007/978-3-030-69893-5_17 · Cited by 22
Metadata
- Authors
- Gutierrez, J., Villa-Medina, J. F., Nieto-Garibay, A., & Porta-Gandara, M. A.
- Venue
- IEEE Transactions on Instrumentation and Measurement
- Published
- 2014-01
- Volume
- 63
- Issue
- 1
- Pages
- 166-176
- ISSN
- 0018-9456 (ISSN-L)
- 1557-9662
- OpenAlex
- W1975940050
- Cited by
- 914
- References
- 35
- FWCI
- 34.03
- Type
- journal article
- Language
- en
- Open access
- closed
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- Gutierrez, J., Villa-Medina, J. F., Nieto-Garibay, A., & Porta-Gandara, M. A. (2014). Automated Irrigation System Using a Wireless Sensor Network and GPRS Module. IEEE Transactions on Instrumentation and Measurement. https://doi.org/10.1109/tim.2013.2276487
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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.
