Smart irrigation using WSN based on IOT

  • Authors

    • VP Krishna Anne
    • Kuricheti R V Siva Naga Durg
    • Rama Krishna Muddineni
    • Surya Gowtham Peri
    https://doi.org/10.14419/ijet.v7i2.8.10435

    Received date: March 21, 2018

    Accepted date: March 21, 2018

    Published date: March 19, 2018

  • temp sensor, humidity, GPRS.

  • Abstract

    To set right the usage of water for crops of agriculture an automated irrigation system has been implemented. A moisture soil sensor; and a temperature measure sensor which is called as network of the distributed wireless is used at base of the plant. Along with these, we implemented a gateway unit. which gathers information and regulate it and by activating the triggers actuators, it can send and receive the transmits data to and from the web application. I proposed the algorithm which having the temperature and soil moisture threshold values that embedded in a gate way based on micro controller. It implemented panels of the photovoltaic; and having a duplex communication link; and works with the interface i.e. cellular-Internet which offers that data inspection & irrigation timing. All this can be programmed by using a web page. Implemented automated Crop water saving system tested for 136 days in sage crop field. It can be saved 90% water compared to others. The main 3 advantages of this automated system make it place successfully in any place for 18 months. As it is energy self-rule, cost less, so it can be efficiently useful in limited water geographical lands.

  • References

    1. W. A. Jury and H. J. Vaux, “The emerging global water crisis: Managing scarcity and conflict between water users,” Adv. Agronomy, vol. 95, pp. 1–76, Sep. 2007.
    2. X. Wang, W. Yang, A. Wheaton, N. Cooley, and B. Moran, “Efficient registration of optical and IR images for automatic plant water stress assessment,” Computer. Electron. Agriculture., vol. 74, no. 2, pp. 230–237, Nov. 2010.
    3. G. Yuan, Y. Luo, X. Sun, and D. Tang, “Evaluation of a crop water stress index for detecting water stress in winter wheat in the North China Plain,” Agriculture Water Management., vol. 64, no. 1, pp. 29–40, Jan. 2004.
    4. S. B. Idso, R. D. Jackson, P. J. Pinter, Jr., R. J. Reginato, and J. L. Hatfield, “Normalizing the stress-degree-day parameter for environmental variability,” Agricult. Meteorol., vol. 24, pp. 45–55, Jan. 1981.
    5. Y. Erdem, L. Arin, T. Erdem, S. Polat, M. Deveci, H. Okursoy, and H. T. Gültas, “Crop water stress index for assessing irrigation scheduling of drip irrigated broccoli (Brassica oleracea L. var. italica),” Agricult. Water Manag., vol. 98, no. 1, pp. 148–156, Dec. 2010.
    6. K. S. Nemali and M. W. Van Iersel, “An automated system for controlling drought stress and irrigation in potted plants,” Sci. Horticult., vol. 110, no. 3, pp. 292–297, Nov. 2006.
    7. S. A. O’Shaughnessy and S. R. Evett, “Canopy temperature based system effectively schedules and controls center pivot irrigation of cotton,” Agricult. Water Manag., vol. 97, no. 9, pp. 1310–1316, Apr. 2010.
    8. R. G. Allen, L. S. Pereira, D. Raes, and M. Smith, Crop Evapotranspiration-Guidelines for Computing Crop Water Requirements—FAO Irrigation and Drainage Paper 56. Rome, Italy:FAO, 1998.
    9. S. L. Davis and M. D. Dukes, “Irrigation scheduling performance by evapotranspiration-based controllers,” Agriculture. Water Management., vol. 98, no. 1, pp. 19–28, Dec. 2010.
    10. K. W. Migliaccio, B. Schaffer, J. H. Crane, and F. S. Davies, “Plant response to evapotranspiration and soil water sensor irrigation scheduling methods for papaya production in south Florida,” Agriculture. Water Management., vol. 97, no. 10, pp. 1452–1460, Oct. 2010.
    11. Dr. Seetaiah Kilaru, Hari Kishore K, Sravani T, Anvesh Chowdary L, Balaji T “Review and Analysis of Promising Technologies with Respect to fifth Generation Networks”, 2014 First International Conference on Networks & Soft Computing, ISSN:978-1-4799-3486-7/14,pp.270-273,August 2014.
    12. Meka Bharadwaj, Hari Kishore "Enhanced Launch-Off-Capture Testing Using BIST Designs” Journal of Engineering and Applied Sciences, ISSN No: 1816-949X, Vol No.12, Issue No.3, page: 636-643, April 2017.
    13. P Bala Gopal, K Hari Kishore, R.R Kalyan Venkatesh, P Harinath Mandalapu “An FPGA Implementation of On Chip UART Testing with BIST Techniques”, International Journal of Applied Engineering Research, ISSN 0973-4562, Volume 10, Number 14 , pp. 34047-34051, August 2015.
    14. T. Padmapriya, V.Saminadan, “Performance Improvement in long term Evolution-advanced network using multiple imput multiple output technique”, Journal of Advanced Research in Dynamical and Control Systems, Vol. 9, Sp-6, pp: 990-1010, 2017.
    15. S.V.Manikanthan and D.Sugandhi “ Interference Alignment Techniques For Mimo Multicell Based On Relay Interference Broadcast Channel ” International Journal of Emerging Technology in Computer Science & Electronics (IJETCSE) ISSN: 0976-1353 Volume- 7 ,Issue 1 –MARCH 2014.
    16. Dr. Seetaiah Kilaru, Hari Kishore K, Sravani T, Anvesh Chowdary L, Balaji T “Review and Analysis of Promising Technologies with Respect to fifth Generation Networks”, 2014 First International Conference on Networks & Soft Computing, ISSN:978-1-4799-3486-7/14,pp.270-273, August 2014.

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  • How to Cite

    Krishna Anne, V., R V Siva Naga Durg, K., Krishna Muddineni, R., & Gowtham Peri, S. (2018). Smart irrigation using WSN based on IOT. International Journal of Engineering and Technology, 7(2.8), 331-334. https://doi.org/10.14419/ijet.v7i2.8.10435