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IoT Sensor-Based Smart Agricultural System

  • J. MahalakshmiEmail author
  • K. Kuppusamy
  • C. Kaleeswari
  • P. Maheswari
Conference paper
Part of the Lecture Notes on Multidisciplinary Industrial Engineering book series (LNMUINEN)

Abstract

IoT is a reflective system of connecting the real-world objects that are accessed via the network. Sensors are involved for the data collection, in which the objects are having their own IP address and having the ability to access and transmit the resources through the Internet without manual performance. It is an architectural framework that offers integration and transfers the information between the computational devices. Its application areas are wide spread across smart homes, wearables, automation of vehicles, industrial Internet, smart cities, smart agriculture, smart retail, energy engagement, poultry and farming. In intelligent agriculture circumstances, to control the progress and to attain better yield in harvests are the primary focuses of this research work. The objective is to present new methodologies for the smart agricultural system, for monitoring and tracking, manufacturing of crops, import and export process, sales details, etc. By implementing the IoT-based smart sensors for the crop management, one can efficiently conquer the impulse of difficult and changing climate, the geographical disability, natural calamity, plagues and ailments about the crop. This research work proposes a cloud platform for smart agriculture data with wireless sensor network based on IOT. In cloud, intelligent production information is stored securely and made open for the authorized users.

Keywords

Cultivation management Cloud computing Smart agriculture Wireless sensor network Internet of things 

References

  1. 1.
    Vu, Q.H., Colombo, M., Asal, R., Sajjad, A., El-Moussa, F.A., Dimitrakos, T.: Secure cloud storage: a framework for data protection as a service in the multi-cloud environment. In: IEEE Conference on Communications and Network Security (CNS), Florence, Italy, 28–30 September, pp. 1–6 (2015). https://kar.kent.ac.uk/id/eprint/50845
  2. 2.
  3. 3.
  4. 4.
    Itani, W., Kayssi, A., Chehab, A.: Privacy as a service: privacy-aware data storage and processing in cloud computing architectures. In: Proceedings of the 8th IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC), pp. 711–716 (2009).  https://doi.org/10.1109/dasc.2009.139
  5. 5.
    Kakkar, A., Singh, M.L., Bansal, P.K.: Mathematical analysis and simulation of multiple keys and S-boxes in a multinode network for secure transmission. Int. J. Comput. Math. 89(16), 2123–2142 (2012).  https://doi.org/10.1080/00207160.2012.704022
  6. 6.
    Ray, P.P.: A survey on internet of things architectures. J. King Saud Uni.-Comput. Info. Sci. 30(3), 291–319 (2018)Google Scholar
  7. 7.
    Srinivasan, G., Vishnu Kumar, N., Shafeer Ahamed, Y., Jagadeesan S.: Providing smart agricultural solution to farmers for better yielding using IoT. Int. J. Adv. Sci. Eng. Res. 2(1) (2017)Google Scholar
  8. 8.
    TongKe, F.: Smart agriculture based on cloud computing and IOT. J. Convergence Info. Technol. 8(2) (2013).  https://doi.org/10.4156/jcit.vol8.issue2.26
  9. 9.
    Channe, H., Kothari, S., Kadam, D.: Multidisciplinary model for smart agriculture using internet-of-things (IoT), sensors, cloud-computing, mobile-computing & big-data analysis. Int. J. Comput. Technol. Appl. 6(3), 374–382 (2015)Google Scholar
  10. 10.
    Li, X., Li, W., Shi, D.: Enterprise private cloud file encryption system based on tripartite secret key protocol. In: International Industrial Informatics and Computer Engineering Conference, Published by Atlantis Press, pp. 166–169 (2015)Google Scholar
  11. 11.
    Vu, Q H., Colombo, M., Asal, R., Sajjad, A., El-Moussa, F.A., Dimitrakos, T.: Secure cloud storage: a framework for data protection as a service in the multi-cloud environment. In: 2015 IEEE Conference on Communications and Network Security (CNS), pp. 1–6 (2015).  https://doi.org/10.1109/cns.2015.7346879
  12. 12.
    Thamizhselvan, M., Raghuraman, R., Manoj, S.G., Paul, P.V.: Data security model for Cloud Computing using V-GRT methodology. In: Intelligent System and Control ISCO 8th IEEE Conference, pp. 224–228 (2014)Google Scholar
  13. 13.
    Liu, J., Wang, H., Xian, M., Rong, H., Huang, K.: Reliable and confidential cloud storage with efficient data forwarding functionality. IET Commun. 10(6), 661–668 (2016).  https://doi.org/10.1049/iet-com.2015.0608
  14. 14.
    Nafi, K.W., Kar, T.S., Hoque, S.A., Hashem, M. M.A.: A newer user authentication, file encryption and distributed server based cloud computing security architecture. Int. J. Adv. Comput. Sci. Appl. 3(10), 181–186 (2012)Google Scholar
  15. 15.
    Siddagangaiah, S.: A novel approach to IoT based plant health monitoring system. Int. Res. J. Eng. Technol. 3(11), 880–886 (2016)Google Scholar
  16. 16.
    Sujatha, R., Nithya, R.A.: A survey on soil monitoring and testing in smart farming using IoT and cloud platform. Int. J. Eng. Res. Appl. 7(11), 55–59 (2017)Google Scholar
  17. 17.
    Aliev, K., Pasero, E., Jawaid, M.M., Narejo, S., Pulatov, A.: Internet of plants application for smart agriculture. Int. J. Adv. Comput. Sci. Appl. 9(4), 421–429 (2018)Google Scholar
  18. 18.
    Uchiyama, H.: AgriBase: status labeling for IoT systems. In: CIDR ’17 Chaminade, California ACM (2017). ISBN 123-4567-24-567/08/06Google Scholar
  19. 19.
    Kirkpatrick, S., Gelatt Jr., C.D., Vecchi, M.P.: Optimization by simulated annealing. Science 220, 671 (1983)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • J. Mahalakshmi
    • 1
    Email author
  • K. Kuppusamy
    • 1
  • C. Kaleeswari
    • 2
  • P. Maheswari
    • 1
  1. 1.Department of Computer ScienceAlagappa UniversityKaraikudiIndia
  2. 2.Department of Computational LogisticsAlagappa UniversityKaraikudiIndia

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