Challenges and Applications of Wireless Sensor Networks in Smart Farming—A Survey

  • T. RajasekaranEmail author
  • S. Anandamurugan
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 750)


Human survival is a huge task of their lives in the society. Agriculture is the most important role played by the survival of human civilization. The technological advancement in wireless communication and reduction in size of sensor is innovatively projects in the various fields such as environmental monitoring, precision farming, health care, military, smart home, etc. This paper provides an insight into various needs of wireless sensor technologies, wireless sensor motes used in agriculture and challenges involved in deployment of Wireless Sensor Network (WSN). Smart Farming (SF) has been played a major role to enhance more production in the field of agriculture. This article not only focuses on smart farming but also compared with traditional methods in agriculture.


WSN Motes Irrigation Agriculture Smart farming Traditional farming 


  1. 1.
    Maohua, W.: Possible adoption of precision agriculture for developing countries at the threshold of the new millennium. Comput. Electron. Agric. 30, 45–50 (2001)CrossRefGoogle Scholar
  2. 2.
    O’Grady, M.J., O’Hare, G.M.P.: Modeling the smart farm. Inf. Process. Agric. 4, 179–187 (2017)Google Scholar
  3. 3.
    Nikolidakis, S.A., Kandris, D., Vergados, D.D., Douligeris, C.: Energy efficient automated control of irrigation in agriculture by using wireless sensor networks. Comput. Electron. Agric. 113, 154–163 (2015)CrossRefGoogle Scholar
  4. 4.
    Yick, J., Mukherjee, B., Ghosal, D.: Wireless sensor network survey. Comput. Netw. 52, 2292–2330 (2008)CrossRefGoogle Scholar
  5. 5.
    Ruiz-Garcia, L., Lunadei, L., Barreiro, P., Robla, J.I.: A review of wireless sensor technologies and applications in agriculture and food industry: state of the art and current trends. Sensors 9(6), 4728–4750 (2009)CrossRefGoogle Scholar
  6. 6.
    Ojha, T., Misra, S., Raghuwanshi, N.S.: Wireless sensor networks for agriculture: the state-of-the-art in practice and future challenges. Comput. Electron. Agric. 118, 66–84 (2015)CrossRefGoogle Scholar
  7. 7.
    Aqeel-ur-Rehman, Abbasi, A.Z., Islam, N., Shaikh, Z.A.: A review of wireless sensors and networks applications in agriculture. Comput. Stand. Interfaces 36, 263–270 (2014)Google Scholar
  8. 8.
    Jawad, H.M., Nordin, R., Gharghan, S.K., Jawad, A.M., Ismail, M.: Energy-efficient wireless sensor networks for precision agriculture: a review. Sensors 17(8), 1781 (2017)CrossRefGoogle Scholar
  9. 9.
    Misra, S., Kumar, M.P., Obaidat, M.S.: Connectivity preserving localized coverage algorithm for area monitoring using wireless sensor networks. Comput. Commun. 34(12), 1484–1496 (2011)CrossRefGoogle Scholar
  10. 10.
    Misra, S., Vaish, A.: Reputation-based role assignment for role-based access control in wireless sensor networks. Comput. Commun. 34(3), 281–294 (2011)CrossRefGoogle Scholar
  11. 11.
    Karapistoli, E., Sarigiannidis, P., Economides, A.A.: SRNET: a real-time, cross-based anomaly detection and visualization system for wireless sensor networks. In: Proceedings of the Tenth Workshop on Visualization for Cyber Security, pp. 49–56 (2013)Google Scholar
  12. 12.
    Chouikhi, S., Elkorbi, I., Ghamri-Doudane, Y., Saidane, L.A.: A survey on fault tolerance in small and large scale wireless sensor networks. Comput. Commun. 69, 22–37 (2015)CrossRefGoogle Scholar
  13. 13.
    Corke, P., Hrabar, S., Peterson, R., Saripalli, D., Rus, S., Sukhatme, G.: Autonomous deployment and repair of a sensor network using an unmanned aerial vehicle. In: IEEE international conference on robotics and automation, pp. 3602–3608 (2004)Google Scholar
  14. 14.
    Chang, C.-Y., Chen, Y.-C., Chang, H.-R.: Obstacle-resistant deployment algorithms for wireless sensor networks. IEEE Trans. Veh. Technol. 58(6), 2925–2941 (2009)CrossRefGoogle Scholar
  15. 15.
    Baggio, A.: Wireless sensor networks in precision agriculture. In: ACM Workshop on Real-World Wireless Sensor Networks (REALWSN2005), Stockholm, Sweden, (2005)Google Scholar
  16. 16.
    Nanda, K., Babu, H., Selvakumar, D.: Smartmote—an innovative autonomous wireless sensor node architecture. In: 2014 IEEE International Conference on Electronics, Computing and Communication Technologies (IEEE CONECCT), pp. 1–6 (2014)Google Scholar
  17. 17.
    Li, Z., Wang, N., Franzen, A., Godsey, C., Zhang, H., Li, X.: Practical deployment of an in-field soil property wireless sensor network. Comput. Stand. Interfaces 36(2), 278–287 (2014)CrossRefGoogle Scholar
  18. 18.
    Xiang, X.: Design of fuzzy drip irrigation control system based on ZigBee wireless sensor network. In: International (CCTA 2010), pp. 495–501Google Scholar
  19. 19.
    Dursun, M., Ozden, S.: A wireless application of drip irrigation automation supported by soil moisture sensors. Sci. Res. Essays 6(7), pp. 1573–1582 (2011)Google Scholar
  20. 20.
    Liang, R., Ding, Y., Zhang, X.: A real-time prediction system of soil moisture content using genetic neural network based on annealing algorithm. In: IEEE International Conference on Automation and Logistics (ICAL), pp. 2781–2785 (2008)Google Scholar
  21. 21.
    Goumopoulos, C., O’Flynn, B., Kameas, A.: Automated zone-specific irrigation with wireless sensor/actuator network and adaptable decision support. Comput. Electron. Agric. 105, 20–33 (2014)CrossRefGoogle Scholar
  22. 22.
    Xiang, X.: Design of fuzzy drip irrigation control system based on ZigBee wireless sensor network. In: International (CCTA 2010), pp. 495–501 (2010)Google Scholar
  23. 23.
    Gutierrez, J., Villa-Medina, J.F., Nieto-Garibay, A., Porta-Gandara, M.A.: Automated Irrigation System Using a Wireless Sensor Network and GPRS Module. IEEE Trans. Instrum. Meas. 63, 166–176 (2013)CrossRefGoogle Scholar
  24. 24.
    Giusti, E., Marsili-Libelli, S.: A fuzzy decision support system for irrigation and water conservation in agriculture. Environ. Model. Softw. 63, 73–86 (2015)CrossRefGoogle Scholar

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© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Computer Science EngineeringKPR Institute of Engineering and TechnologyCoimbatoreIndia
  2. 2.Department of Information TechnologyKongu Engineering CollegeErodeIndia

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