Journal of Applied Science and Engineering

Published by Tamkang University Press

1.30

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2.10

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Dhanalakshmi R This email address is being protected from spambots. You need JavaScript enabled to view it.1, Kavisankar L2, and Balasubramani S3

1Department of Computer Science and Engineering, KCG College of Technology, Chennai, India
2School of Computing, College of Engineering and Technology, SRM Institute of Science and Technology, Chennai, India
3Department of Computer Science and Engineering, Hindustan Institute of Technology and Science, Chennai, India


 

Received: July 7, 2021
Accepted: November 17, 2021
Publication Date: November 1, 2021

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.


Download Citation: ||https://doi.org/10.6180/jase.202208_25(4).0009  


ABSTRACT


Human beings primary need is to have good quality food. The production of food and the consumption is the basic necessity of each individual. It is predicted that the world would need more supplies of food by the end of the 21st century. Thus smart farming is the need of the hour. The smart farming will be performed effectively using automation system. The cost is also reduced by optimal usage of supplies such as water and electrical energy. The goal is to provide long term sustainable solution via automation of agriculture process. The process of automation in agriculture is performed using several methods for getting data from the crop by the use of sensors. These sensors are useful in measuring the environment condition. A portable measurement technology including soil moisture, luminosity, air humidity and air temperature sensors are effectively utilized in this system.
These sensors are used to track the environmental information, this is very useful in controlling the automation of irrigation system. This system proves to be very successful since it interacts with the roots of the plant. The proposed system seems to be more efficient since the sensors are used in the most effective manner as compared to prevailing methodologies and the cost of production decreases with increase in productivity.


Keywords: IoT, Agriculture, Smart Farming, Sensor


REFERENCES


  1. [1] Q. Wang, A. Terzis, and A. Szalay. “A novel soil measuring wireless sensor network”. In: 2010 IEEE Instrumentation & Measurement Technology Conference Proceedings. IEEE. 2010, 412–415. DOI: 10.1109/IMTC.2010.5488224.
  2. [2] C. C. Castello, J. Fan, A. Davari, and R.-X. Chen. “Optimal sensor placement strategy for environmental monitoring using wireless sensor networks”. In: 2010 42nd Southeastern Symposium on System Theory (SSST). IEEE. 2010, 275–279. DOI: 10.1109/SSST.2010.5442825.
  3. [3] K. Tanaka, T. Suda, K. Hirai, K. Sako, and R. Fukagawa, (2009) “Monitoring of soil moisture and groundwater level using ultrasonic waves to predict slope failures" Japanese Journal of Applied Physics 48(9S1): 09KD12. DOI: 10.1143/JJAP.48.09KD12.
  4. [4] Y. Jiber, H. Harroud, and A. Karmouch. “Precision agriculture monitoring framework based on WSN”. In: 2011 7th International Wireless Communications and Mobile Computing Conference. IEEE. 2011, 2015–2020. DOI: 10.1109/IWCMC.2011.5982844.
  5. [5] L. Xiao and L. Guo. “The realization of precision agriculture monitoring system based on wireless sensor network”. In: 2010 international conference on computer and communication technologies in agriculture engineering. 3. IEEE. 2010, 89–92. DOI: 10.1109/CCTAE.2010.5544354.
  6. [6] E. D. Hunt, K. G. Hubbard, D. A.Wilhite, T. J. Arkebauer, and A. L. Dutcher, (2009) “The development and evaluation of a soil moisture index" International Journal of Climatology: A Journal of the Royal Meteorological Society 29(5): 747–759. DOI: 10.1002/joc.1749.
  7. [7] N. Kaewmard and S. Saiyod. “Sensor data collection and irrigation control on vegetable crop using smart phone and wireless sensor networks for smart farm”. In: 2014 IEEE Conference on Wireless Sensors (ICWiSE). IEEE. 2014, 106–112. DOI: 10.1109/ICWISE.2014.7042670.
  8. [8] W. Lin. “Real time monitoring of electrocardiogram through IEEE802. 15.4 network”. In: 2011 8th International Conference & Expo on Emerging Technologies for a Smarter World. IEEE. 2011, 1–6. DOI: 10.1109/CEWIT.2011.6135891.
  9. [9] Z. Liao, S. Dai, and C. Shen. “Precision agriculture monitoring system based on wireless sensor networks”. In: IET International Conference on Wireless Communications and Applications (ICWCA 2012). IET. 2012, 1–5. DOI: 10.1049/cp.2012.2107.
  10. [10] S. Singh, R. Jha, and M. K. Nandwana. “Optimal design of solar powered fuzzy control irrigation system for cultivation of green vegetable plants in Rural India”. In: 2012 1st International Conference on Recent Advances in Information Technology (RAIT). IEEE. 2012, 877–882. DOI: 10.1109/RAIT.2012.6194541.
  11. [11] J. G. Martin, C. L. Phillips, A. Schmidt, J. Irvine, and B. E. Law, (2012) “High-frequency analysis of the complex linkage between soil CO2 fluxes, photosynthesis and environmental variables" Tree physiology 32(1): 49–64.
  12. [12] R. Kays, S. Tilak, M. Crofoot, T. Fountain, D. Obando, A. Ortega, F. Kuemmeth, J. Mandel, G. Swenson, T. Lambert, et al., (2011) “Tracking animal location and activity with an automated radio telemetry system in a tropical rainforest" The Computer Journal 54(12): 1931–1948. DOI: 10.1093/comjnl/bxr072.
  13. [13] M. R. Joel, V. Ebenezer, N. Karthik, and K. Rajkumar, (2019) “Advance dynamic network system of internet of things" Int. J. Recent. Technol. Eng 8(3): 6209–6212. DOI: 10.35940/ijrte.C5657.098319.
  14. [14] R. Mittal and M. S. Bhatia. “Wireless sensor networks for monitoring the environmental activities”. In: 2010 IEEE International Conference on Computational Intelligence and Computing Research. IEEE. 2010, 1–5. DOI: 10.1109/ICCIC.2010.5705791.
  15. [15] S. E. Dıéaz, J. C. Pérez, A. C. Mateos, M.-C. Marinescu, and B. B. Guerra, (2011) “A novel methodology for the monitoring of the agricultural production process based on wireless sensor networks" Computers and electronics in agriculture 76(2): 252–265. DOI: 10.1016/j.compag.2011.02.004.
  16. [16] S. Ferdoush and X. Li, (2014) “Wireless sensor network system design using Raspberry Pi and Arduino for environmental monitoring applications" Procedia Computer Science 34: 103–110. DOI: 10.1016/j.procs.2014.07.059.
  17. [17] A. Kaloxylos, R. Eigenmann, F. Teye, Z. Politopoulou, S. Wolfert, C. Shrank, M. Dillinger, I. Lampropoulou, E. Antoniou, L. Pesonen, et al., (2012) “Farm management systems and the Future Internet era" Computers and electronics in agriculture 89: 130–144. DOI: 10.1016/j.compag.2012.09.002.
  18. [18] M. Gopinath, G. Tamizharasi, L. Kavisankar, R. Sathyaraj, S. Karthi, S. Aarthy, and B. Balamurugan, (2019) “A secure cloud-based solution for real-time monitoring and management of Internet of underwater things (IOUT)" Neural Computing and Applications 31(1): 293–308. DOI: 10.1007/s00521-018-3774-9.
  19. [19] M. S. Farooq, S. Riaz, A. Abid, K. Abid, and M. A. Naeem, (2019) “A Survey on the Role of IoT in Agriculture for the Implementation of Smart Farming" IEEE Access 7: 156237–156271. DOI: 10.1109/ACCESS.2019.2949703.
  20. [20] M. Saqib, T. A. Almohamad, and R. M. Mehmood, (2020) “A low-cost information monitoring system for smart farming applications" Sensors 20(8): 2367. DOI: 10.3390/s20082367.
  21. [21] N. K. Nawandar and V. R. Satpute, (2019) “IoT based low cost and intelligent module for smart irrigation system" Computers and electronics in agriculture 162: 979–990. DOI: :10.1016/J.COMPAG.2019.05.027.
  22. [22] F. Akhter, H. Siddiquei, M. E. E. Alahi, and S. Mukhopadhyay, (2021) “Design and Development of an IoT-enabled Portable Phosphate Detection System in Water for Smart Agriculture" Sensors and Actuators A: Physical: 112861. DOI: 10.1016/J.BIOSYSTEMSENG. 2018.10.014.
  23. [23] A. Dahane, R. Benameur, B. Kechar, and A. Benyamina. “An IoT Based Smart Farming System Using Machine Learning”. In: 2020 International Symposium on Networks, Computers and Communications (ISNCC). IEEE. 2020, 1–6. DOI: 10.1109/ISNCC49221.2020.9297341.
  24. [24] M. Maduranga and R. Abeysekera, (2020) “Machine learning applications in IoT based agriculture and smart farming: A review" International Journal of Engineering Applied Sciences and Technology 4(12): 24–27. DOI: 10.33564/ijeast.2020.v04i12.004.
  25. [25] P. Lavanya, A. Sangeetha, and K. R. KUMAR. “A secure data getting/transmitting protocol for WSN in IoT using revocable storage identity based cryptography”. In: 2018 3rd International Conference on Communication and Electronics Systems (ICCES). IEEE. 2018, 1164–1170. DOI: 10.1109/CESYS.2018.8724033.
  26. [26] S. Swetha, S. Suprajah, S. V. Kanna, and D. R, (2017) “An intelligent monitor system for home appliances using IoT" In 2017 International Conference on Technical Advancements in Computers and Communications (ICTACC).IEEE: 106–108. DOI: 10 .1109/ICTACC.2017.35.
  27. [27] J. Doshi, T. Patel, and S. kumar Bharti, (2019) “Smart Farming using IoT, a solution for optimally monitoring farming conditions" Procedia Computer Science 160: 746–751. DOI: :10.1016/j.procs.2019.11.016.
  28. [28] V. Moysiadis, P. Sarigiannidis, V. Vitsas, and A. Khelifi, (2021) “Smart farming in Europe" Computer Science Review 39: 100345.
  29. [29] H. B. Mahajan, A. Badarla, and A. A. Junnarkar, (2021) “CL-IoT: cross-layer Internet of Things protocol for intelligent manufacturing of smart farming" Journal of Ambient Intelligence and Humanized Computing 12(7): 7777–7791. DOI: 10.1007/s12652-020-02502-0.


    



 

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