International Journal of Scientific & Technology Research

Home About Us Scope Editorial Board Blog/Latest News Contact Us
10th percentile
Powered by  Scopus
Scopus coverage:
Nov 2018 to May 2020


IJSTR >> Volume 8 - Issue 10, October 2019 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Lora-Iot Based Self-Powered Multi-Sensors Wireless Network For Next Generation Integrated Farming

[Full Text]



K.S.Balamurugan, A.Sivakami



Farmer, Cost, IoT, LoRa, Network, WAN, Farmhouse.



The agriculture sector, which is directly or indirectly serves about 7.5 billion people globally is being threatened by the overexploitation of resources, increasing pollution, migration of people from rural to urban, water scarcity, lesser in profit and climate change. This has inflicted damage to the environment, the life cycles of both plants and animals, land and crops, which has in turn create obstruction in the agriculture sector. To overcome the above issues, we proposed the Next Generation Integrated Farming (NGIF) using Long Range -Internet of Things (LoRa-IOT)instead of traditional techniques to improve the productivity, yield better crops and minimize manual labor by proper monitoring of Livestock health, soil health, air temperature, humidity, proper irrigation at correct time, protecting crops from birds and animals. Simulation result shows that hybrid Wi-Fi &LoRaWAN network to support the different IoT connectivity technologies, reduce the complexity and minimize the delays in end-customer decision-making process. Also it suggested that one moveable gateway is well because of lesser deployment cost and more than adequate DER value even though vast farm house.It is predicted that suggested work will be most suitable for integrated farming to develop the rural area and welfare of the farmer by improving the productivity, income and lesser maintaining cost.



[1] Dragomir, C., & Surugiu, F. Implementing Lean in a Higher Education University. Constanta Maritime University's Annals, 18 , pp.279–282, 2013.
[2] T. D. Soedjana and A. Priyanti, “Competitiveness of Indonesian Livestock Production among ASEAN Countries,” Wartazoa, vol. 27, no. 1, pp. 1–14, 2017.
[3] Bhisham Sharma1 , Deepika Koundal” Cattle health monitoring system using wireless sensor network: a survey from innovation perspective”, Vol. 8 Iss. 4, pp. 143-151, IET Wirel. Sens. Syst., 2018.
[4] HeeJin Kim, Seeun Oh, SehyeokAhn, and Byoungju Choi, "Development of IoT-based Mobile Application for Livestock Healthcare and Breeding Management in real time", In Proceedings of the KCSE, Vol. 19, No. 1, pp. 262-263, Feb. 2017.
[5] LoRa Alliance, https://www.lora-alliance.org/, [Accessed: Feb. 15, 2018]
[6] R. Harwahyu, R. G. Cheng, C. H. Wei, and R. F. Sari, “Optimization of Random Access Channel in NB-IoT,” IEEE Internet Things J., vol. 5, no. 1, pp. 391–402, 2018.
[7] K. Mekki, E. Bajic, F. Chaxel, and F. Meyer, “A comparative study of LPWAN technologies for largescale IoT deployment,” ICT Express, 2018.
[8] Semtech-Corporation, “What is LoRa© ?,” 2016. [Online]. Available: https://www.semtech.com/technology/lora/what-is-lora. [Accessed: 20-Mar-2018].
[9] K. H. Coble, A. K. Mishra, S. Ferrell, and T. Griffin, “Big data in agriculture: A challenge for the future,” Appl. Econ. Perspect. Policy, vol. 40, no. 1, pp. 79–96, 2018.
[10] Math, Rajinder Kumar, and Nagaraj V. Dharwadkar. "A wireless sensor network based low cost and energy efficient frame work for precision agriculture." Nascent Technologies in Engineering (ICNTE), 2017 International Conference on. IEEE, 2017.
[11] Lottes, Philipp, et al. "UAV-Based Crop and Weed Classification for Smart Farming.” IEEE International Conference on Robotics and Automation (ICRA) Singapore, May 29 - June 3, 2017, ©2017 IEEE
[12] Ball, David, et al. "Farm Workers of the Future: Vision-Based Robotics for Broad-Acre Agriculture." IEEE Robotics & Automation Magazine (2017). [
[13] Sreekantha, D. K., and A. M. Kavya. "Agricultural crop monitoring using IOT-a study." Intelligent Systems and Control (ISCO), 2017 11th International Conference on. IEEE, 2017
[14] S. Qaboos and A. Khoudh, “Improving The Resilience of Wireless Sensor Networks Against Security Threats: A Survey and Open Research Issues,” Int. J. Technol., no. 2018, pp. 828–839, 2018.
[15] T. A. Shinde and J. R. Prasad, “IoT based animal health monitoring with naive Bayes classification,” Int. J. Emerg. Trends Technol., vol. 1, no. 2, pp. 252–257, 2017.
[16] S. Benaissa et al., “Internet of animals: Characterisation of LoRasubGHz off-body wireless channel in dairy barns,” Electron. Lett., vol. 53, no. 18, pp. 1281–1283, Aug. 2017.
[17] D. García-Lesta, D. Cabello, E. Ferro, P. López, and V. M. Brea, “Wireless sensor network with perpetual motes for terrestrial snail activity monitoring,” IEEE Sensors J., vol. 17, no. 15, pp. 5008–5015, Aug. 2017.