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Wireless Soil Monitoring Sensor for Sprinkler Irrigation Automation System

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Abstract

In a developing country like India, there is an exponential rise in population nutrition requirement. To meet up with both the ends, the agricultural techniques should be perfected for optimal yield and quality. Irrigation and soil property monitoring system using sensors can be automated and operated wirelessly to achieve optimal water supply control and surveillance. The objective of this paper, is to automate the whole wireless sensor network (WSN) system with a control over water pumps and dripper valves. The humidity, temperature and pH sensor’s percepts provide a feedback, to control the water content of the soil. The system has an low-cost and energy reliable ZigBee for sensor data transformation, high-range GPRS system for data storing and analysis, and the whole system is powered by Solar panels which makes it self-sustainable. Customizable options for different crop with different requirements make it a versatile WSN system for automated irrigation based water management.

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References

  1. Doorenbos, J., & Kassam, A. H. (1979). Yield response to water. Irrigation and Drainage Paper, 33, 257.

    Google Scholar 

  2. Allen, R. G., Pereira, L. S., Raes, D., & Smith, M. (1998). Crop evapotranspiration-guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56. FAO, Rome, 300(9), D05109.

    Google Scholar 

  3. Tasumi, M., Allen, R. G., Trezza, R., & Wright, J. L. (2005). Satellite-based energy balance to assess within-population variance of crop coefficient curves. Journal of Irrigation and Drainage Engineering, 131(1), 94–109.

    Article  Google Scholar 

  4. He, W. Q., Cai, M. K., Wang, Y. B. & Wang, X. J. (2010). Automatic water supply control system of graded constant pressure by variable frequency speed and its application to pipeline irrigation. In 2010 Second WRI global congress on intelligent systems (GCIS) (Vol. 1, pp. 385–388). IEEE.

  5. Abuzar, M., Whitfield, D., McAllister, A., Lamb, G., Sheffield, K. & O’Connell, M. (2013). Satellite remote sensing of crop water use in an irrigation area of south-east Australia. In 2013 IEEE international on geoscience and remote sensing symposium (IGARSS) (pp. 3269–3272). IEEE.

  6. Reche, A., Sendra, S., Díaz, J. R. & Lloret, J. (2014). A smart M2M deployment to control the agriculture irrigation. In International conference on ad-hoc networks and wireless (pp. 139–151). Springer.

  7. Swamy, D. K., Rajesh, G., Pooja, M. J. K., & Krisha, A. R. (2013). Microcontroller based drip irrigation system. International Journal of Emerging Science and Engineering, 1, 2319–6378.

  8. Vellidis, G., Tucker, M., Perry, C., Reckford, D., Butts, C., & Henry, H. (2013). A soil moisture sensor-based variable rate irrigation scheduling system. In Precision Agriculture’13 (pp. 713–720). Wageningen Academic Publishers.

  9. Kim, Y., Evans, R. G., & Iversen, W. M. (2008). Remote sensing and control of an irrigation system using a distributed wireless sensor network. IEEE Transactions on Instrumentation and Measurement, 57(7), 1379–1387.

    Article  Google Scholar 

  10. Butterly, C. R., Baldock, J. A., & Tang, C. (2013). The contribution of crop residues to changes in soil pH under field conditions. Plant and Soil, 366(1–2), 185–198.

    Article  Google Scholar 

  11. Valente, A., Morais, R., Serodio, C., Mestre, P., Pinto, S. & Cabral, M. (2007). A zigbee sensor element for distributed monitoring of soil parameters in environmental monitoring. In Sensors, 2007 IEEE (pp. 135–138). IEEE.

  12. Ojha, T., Misra, S., & Raghuwanshi, N. S. (2015). Wireless sensor networks for agriculture: The state-of-the-art in practice and future challenges. Computers and Electronics in Agriculture, 118, 66–84.

    Article  Google Scholar 

  13. Gutiérrez, J., Villa-Medina, J. F., Nieto-Garibay, A., & Porta-Gándara, M. Á. (2014). Automated irrigation system using a wireless sensor network and GPRS module. IEEE Transactions on Instrumentation and Measurement, 63(1), 166–176.

    Article  Google Scholar 

  14. Faludi, R. (2010). Building wireless sensor networks: With ZigBee, XBee, arduino, and processing. Sebastopol: O’Reilly Media, Inc.

    Google Scholar 

  15. Jiang, P., Xia, H., He, Z., & Wang, Z. (2009). Design of a water environment monitoring system based on wireless sensor networks. Sensors, 9(8), 6411–6434.

    Article  Google Scholar 

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Correspondence to G. Nagarajan.

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Nagarajan, G., Minu, R.I. Wireless Soil Monitoring Sensor for Sprinkler Irrigation Automation System. Wireless Pers Commun 98, 1835–1851 (2018). https://doi.org/10.1007/s11277-017-4948-y

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  • DOI: https://doi.org/10.1007/s11277-017-4948-y

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