nach oben

Wireless Personal Communications

Erschienen in:

08.05.2019

Study of Wireless Communication Technologies on Internet of Things for Precision Agriculture

verfasst von: Xiang Feng, Fang Yan, Xiaoyu Liu

Erschienen in: Wireless Personal Communications | Ausgabe 3/2019

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Precision agriculture is a suitable solution to these challenges such as shortage of food, deterioration of soil properties and water scarcity. The developments of modern information technologies and wireless communication technologies are the foundations for the realization of precision agriculture. This paper attempts to find suitable, feasible and practical wireless communication technologies for precision agriculture by analyzing the agricultural application scenarios and experimental tests. Three kinds of Wireless Sensor Networks (WSN) architecture, which is based on narrowband internet of things (NB-IoT), Long Range (LoRa) and ZigBee wireless communication technologies respectively, are presented for precision agriculture applications. The feasibility of three WSN architectures is verified by corresponding tests. By measuring the normal communication time, the power consumption of three wireless communication technologies is compared. Field tests and comprehensive analysis show that ZigBee is a better choice for monitoring facility agriculture, while LoRa and NB-IoT were identified as two suitable wireless communication technologies for field agriculture scenarios.

Vorheriger Artikel A Review on Training and Blind Equalization Algorithms for Wireless Communications

Nächster Artikel A Novel Energy-Aware Clustering Method via Lion Pride Optimizer Algorithm (LPO) and Fuzzy Logic in Wireless Sensor Networks (WSNs)

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Navarro-Hellín, H., Martínez-del-Rincon, J., Domingo-Miguel, R., Soto-Valles, F., & Torres-Sánchez, R. (2016). A decision support system for managing irrigation in agriculture. Computers and Electronics in Agriculture, 124, 121–131.CrossRef

Ojha, T., Misra, S., & Raghuwanshi, N. S. (2015). Wireless sensor networks for agriculture: The state-of-the-art in practice and future challenges. Computers and Electronics in Agriculture, 118, 66–84.CrossRef

Ferrández-Pastor, F. J., García-Chamizo, J. M., Nieto-Hidalgo, M., & Mora-Martínez, J. (2018). Precision agriculture design method using a distributed computing architecture on internet of things context. Sensors, 18, 1731.CrossRef

Martínez, R., Pastor, J. Á., Álvarez, B., & Iborra, A. (1979). A testbed to evaluate the FIWARE-based IoT platform in the domain of precision agriculture. Sensors, 2016, 16.

Pratim, R. P. (2017). Internet of things for smart agriculture: Technologies, practices and future direction. Journal of Ambient Intelligence and Smart Environments, 9, 395–420.CrossRef

Ferrandez-Pastor, F. J., Garcia-Chamizo, J. M., Nieto-Hidalgo, M., Mora-Pascual, J., & Mora-Martinez, J. (2016). Developing ubiquitous sensor network platform using internet of things: Application in precision agriculture. Sensors, 16, 1141.CrossRef

Jawad, H. M., Nordin, R., & Gharghan, S. K. (2017). Energy-efficient wireless sensor networks for precision agriculture: A review. Sensors, 17, 1781. https://doi.org/10.3390/s17081781.CrossRef

Sabri, N., Aljunid, S. A., Ahmad, R., Malek, M., Yahya, A., Kamaruddin, R., et al. (2012). Smart prolong fuzzy wireless sensor-actor network for agricultural application. Journal of Information Science and Engineering, 28(2), 295–316.

Ilie-Ablachim, D., Pătru, G. C., Florea, I. M., & Rosner, D. (2016). Monitoring device for culture substrate growth parameters for precision agriculture. In Proceedings of the 15th RoEduNet conference: Networking in education and research, Bucharest, Romania, 7–9 September 2016 (pp. 1–7).

10.

Raza, U., Kulkarni, P., & Sooriyabandara, M. (2017). Low power wide area networks: An overview. IEEE Communications Surveys & Tutorials, 19(2), 855–873. https://doi.org/10.1109/COMST.2017.2652320.CrossRef

11.

Chen, J., Hu, K., Wang, Q., Sun, Y., & Shi, Z. G. (2017). Narrow-band internet of things: Implementations and applications. IEEE Internet of Things Journal, 4(6), 2309–2314.CrossRef

12.

Bluetooth-technology, topology-options. Available online: https://www.bluetooth.com/bluetooth-technology/topology-options. Accessed 21 Oct 2018.

13.

Wi-Fi Alliance. Available online: https://www.wi-fi.org/. Accessed 21 Oct 2018.

14.

IEEE 802.15.4v-2017. Available online: https://standards.ieee.org/standard/802_15_4v-2017.html. Accessed 21 Oct 2018.

15.

Alliance, Lo Ra. (2015). White Paper: A Technical Overview of Lora and Lorawan. San Ramon: The LoRa Alliance.

16.

NB-IoT wide range of opportunities. Available online: http://www.huawei.com/minisite/4-5g/img/NB-IOT.pdf. Accessed 21 Oct 2018.

17.

Sigfox-the global communications service provider for IoT. Available online: http://www.sigfox.com. Accessed 21 Oct 2018.

18.

Li, L., & Liu, G. (2006). Design of greenhouse environment monitoring and controlling system based on bluetooth technology. Transactions of the Chinese Society for Agricultural Machinery, 10, 97–100.

19.

Hong, G. Z., & Hsieh, C. L. (2016). Application of integrated control strategy and bluetooth for irrigating romaine lettuce in greenhouse. IFAC Papers On-Line, 49, 381–386.CrossRef

20.

Kim, Y., Evans, R. G., & Iversen, W. M. (2008). Remote sensing and control of an irrigation system using a distributed wireless sensor network. IEEE Transactions on Instrumentation and Measurement, 57, 1379–1387.CrossRef

21.

Bartlett, A. C., Andales, A. A., Arabi, M., & Bauder, T. A. (2015). A smartphone APP to extend use of a cloud-based irrigation scheduling tool. Computers and Electronics in Agriculture, 111, 127–130.CrossRef

22.

Vellidis, G., Liakos, V., Andreis, J. H., Perry, C. D., Porter, W. M., Barnes, E. M., et al. (2016). Development and assessment of a smartphone application for irrigation scheduling in cotton. Computers and Electronics in Agriculture, 127, 249–259.CrossRef

23.

Yeng, C., Yuling, S., & Zhongyi, W. (2016). Connectivity of wireless sensor networks for plant growth in greenhouse. International Journal of Agricultural and Biological Engineering, 9, 89–98.

24.

Cambra, C., Sendra, S., Jimenez, J. M., Lloret, J. (2017). Wireless network of sensors of low energy consumption in hydroponic agriculture. In Proceedings of the WSN & WLAN conference on JITEL, Valencia, Spain, 27–29 May 2017.

25.

Alvino, A., & Marino, S. (2017). remote sensing for irrigation of horticultural crops. Horticulturae, 3, 40.CrossRef

26.

Voulodimos, Athanasios S., Patrikakis, Charalampos Z., Sideridis, Alexander B., Ntafis, Vasileios A., & Xylouri, Eftychia M. (2010). A complete farm management system based on animal identification using RFID technology. Computers and Electronics in Agriculture, 70, 380–388.CrossRef

27.

Ruiz, G. L., & Lunadei, L. (2011). The role of RFID in agriculture: Applications, limitations and challenges. Computers and Electronics in Agriculture, 79, 42–50.CrossRef

28.

Gabriel, V., Juan, F. D., Daniel, H. D. I., & Javier, B. (2017). Combining multi-agent systems and wireless sensor networks for monitoring crop irrigation. Sensors, 17, 1775. https://doi.org/10.3390/s17081775.CrossRef

29.

Zhurong, C., Chao, H., Jingsheng, L., Shoubin, L. (2008). Protocol architecture for wireless body area network based on nRF24L01. In Proceedings of the 2008 IEEE international conference on automation and logistics (ICAL 2008), Qingdao, China, 1–3 September 2008 (pp. 3050–3054).

30.

Mendez, G. R., Yunus, M. A. M, & Mukhopadhyay, S. C. (2012). A WiFi based smart wireless sensor network for an agricultural environment. In IEEE international instrumentation and measurement technology conference proceedings, Graz, Austria, 2012 (pp. 2640–2645).

31.

Mohapatra, A. G., & Lenka, S. K. (2016). Neural network pattern classification and weather dependent fuzzy logic model for irrigation control in WSN based precision agriculture. Procedia Computer Science, 78, 499–506.CrossRef

32.

Nagarajan, G., & Minu, R. I. (2018). Wireless soil monitoring sensor for sprinkler irrigation automation system. Wireless Personal Communications, 98, 1835–1851. https://doi.org/10.1007/s11277-017-4948-y.CrossRef

33.

Jinbo, C., Yu, Z., & Lam, A. (2018). Research on monitoring platform of agricultural product circulation efficiency supported by cloud computing. Wireless Personal Communications. https://doi.org/10.1007/s11277-018-5392-3.

34.

Guo, J., Ma, X. M., Guo, W., & Sun, Z. F. (2013). Design of farmland environment remote monitoring system based on ZigBee network. Journal of Agricultural Mechanization Research, 11, 65–70.

35.

Zhang, Q., Yang, X. L., Zhou, Y. M., Wang, L. R., & Guo, X. S. (2007). A wireless solution for greenhouse monitoring and control system based on ZigBee technology. Journal of Zhejiang University-Science A, 8, 1584–1587.CrossRef

36.

Srbinovska, M., Gavrovski, C., Dimcev, V., Krkoleva, A., & Borozan, V. (2015). Environmental parameters monitoring in precision agriculture using wireless sensor networks. Journal of Cleaner Production, 88, 297–307.CrossRef

37.

Huircán, J. I., Muñoz, C., Young, H., Von Dossow, L., Bustos, J., Vivallo, G., et al. (2010). Zigbee-based wireless sensor network localization for cattle monitoring in grazing fields. Computers and Electronics in Agriculture, 74(2), 258–264.CrossRef

38.

Nadimi, E. S., Jorgensen, R. N., Blanes-Vidal, V., & Christensen, S. (2012). Monitoring and classifying animal behavior using zigbee-based mobile ad hoc wireless sensor networks and artificial neural networks. Computers and Electronics in Agriculture, 82, 44–54.CrossRef

39.

Zhang, J., Hu, J., Huang, L., Zhang, Z., & Ma, Y. M. (2016). A portable farmland information collection system with multiple sensors. Sensors, 16, 1762. https://doi.org/10.3390/s16101762.CrossRef

40.

Gutiérrez, J., Villa-Medina, J. F., Nieto-Garibay, A., & Porta-Gándara, M. Á. (2014). Automated irrigation system using a wireless sensor network and GPRS module. IEEE Transactions on Instrumentation and Measurement, 63, 166–176.CrossRef

41.

Navarro-Hellín, H., Torres-Sánchez, R., Soto-Valles, F., Albaladejo-Pérez, C., López-Riquelme, J., & Domingo-Miguel, R. (2015). A wireless sensors architecture for efficient irrigation water management. Agricultural Water Management, 151, 64–74.CrossRef

42.

Kontogiannis, S., Kokkonis, G., Ellinidou, S., & Valsamidis, S. (2017). Proposed fuzzy-NN algorithm with LoRa communication protocol for clustered irrigation systems. Future Internet, 9, 78. https://doi.org/10.3390/fi9040078.CrossRef

43.

Gil-Lebrero, S., Quiles-Latorre, F. J., Ortiz-López, M., Sánchez-Ruiz, V., Gámiz-López, V., & Luna-Rodríguez, J. J. (2017). Honey bee colonies remote monitoring system. Sensors, 17(1), 55. https://doi.org/10.3390/s17010055.

Titel: Study of Wireless Communication Technologies on Internet of Things for Precision Agriculture
verfasst von: Xiang Feng
Fang Yan
Xiaoyu Liu
Publikationsdatum: 08.05.2019
Verlag: Springer US
Erschienen in: Wireless Personal Communications / Ausgabe 3/2019
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI: https://doi.org/10.1007/s11277-019-06496-7

Neuer Inhalt

Bildnachweise

VDI-Icon, Profil Icon, inhalt2, Springer Professional Modul/© Springer Fachmedien Wiesbaden GmbH, Nachhaltigkeitsaward Key Visual/© Cometis AG/Global ESG Monitor | Daniel Rupp | Generiert mit KI, Search Icon, Banner Hanser, Frank Urbansky/© Peter Eichler / Leipzig, CO2-Fußabdruck/© Jenny Sturm / stock.adobe.com, Interview Entropie Bild 1/© Bernhard Weßling, Zeitschrift Wissensmanagement Cover, PatentFit-Logo/© Springer Fachmedien Wiesbaden GmbH, Sustainibility Finance/© Robert Kneschke / stock.adobe.com / Springer Fachmedien Wiesbaden GmbH, Zukunftswerkstatt Sales Excellence 2024/© AndreyPopov / Getty Images / iStock, 2023_Antrieb/© supervisuell

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Technik"

Springer Professional "Wirtschaft+Technik"

Springer Professional "Wirtschaft"

Weitere Artikel der Ausgabe 3/2019

A Priority-Based MAC Protocol for Energy Consumption and Delay Guaranteed in Wireless Body Area Networks

Hybrid Artificial Bee Colony Algorithm for Improving the Coverage and Connectivity of Wireless Sensor Networks

Practical Multiple User System Using Heterogeneous Frequency Modulation for High Data Rate in Underwater Sensor Network

Steps Towards Redesigning Cryptosystems by a Non-associative Algebra of IP-Loops

Applicability of Cavity Modeling Technique to Analyze Complex Waveguide Structures Involving Cavity Cross Couplings

Evaluation of Network Intrusion Detection Systems for RPL Based 6LoWPAN Networks in IoT

Neuer Inhalt

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.