DISSEMINATING AN AUTOMATED IRRIGATION SYSTEM USING SOLAR ENERGY IN PERSPECTIVE OF BANGLADESH

Authors

  • Md. Shawkut Ali Khan City University, Bangladesh
  • Md. Iftakharul Muhib City University, Bangladesh
  • Md. Kawsar Sajib City University, Bangladesh

DOI:

https://doi.org/10.46545/aijser.v4i1.181

Keywords:

Solar Panel, Pump, Soil Moisture Sensor, Battery, Boost Module, Relay Module.

Abstract

Bangladesh is mainly an agricultural country. Agriculture is the most important occupation for the most of the Bangladeshi families. This study is conducted to develop an automated irrigation mechanism which turns the pumping motor ON and OFF by detecting the moisture content of the earth using the soil moisture sensor without the intervention of human. This Smart irrigation system project is using an Arduino Uno micro-controller, Solar Panel, Battery, Boost module, Relay Module, Soil Moisture Sensor, DC Motor etc. Arduino Uno that is programmed to collect the input signal according to moisture content of the soil and its output is given to the op-amp that will operate the pump. The benefit of employing this technique is to decrease human interference and it is quite feasible and affordable.

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Author Biographies

  • Md. Shawkut Ali Khan, City University, Bangladesh

    Professor & Head

    Department of Mechanical Engineering, City University, Dhaka, Bangladesh

  • Md. Iftakharul Muhib, City University, Bangladesh

    Assistant Professor

    General Education Department, City University, Dhaka, Bangladesh

  • Md. Kawsar Sajib, City University, Bangladesh

    Lecturer

    Department of Mechanical Engineering, City University, Dhaka, Bangladesh

References

Badescu, V. (2008). Modeling Solar Radiation at the Earth’s Surface Recent Advances. Springer Verlag.

Kanojia, C. (2019). Solar Power to Revolutionize Bangladesh Irrigation. The Financial Express. Retrieved from https://thefinancialexpress.com.bd/views/solar-power-to-revolutionise-bangladesh-irrigation-1552917511

Perlin, J. (2004). Silicon Solar-Cell Turns 50. NREL Report No. BR-520–33947.

Marion, B., Anderberg M., and Gray-Hann P. (2006). Recent Upgrades and Revisions to PVWATTS. In: Campbell-Howe, R. (Ed.), Proceedings of the Solar-2006 Conference, Denver.

Shafiqul, M. I. (2014). Prediction of Solar Irradiance for Bangladesh Using Neural Network. Thesis Report. Dhaka University of Engineering and Technology, Gazipur, 1700, Bangladesh. Retrieved from https://www.duet.ac.bd/wp-content/uploads/2019/09/Thesis_092231P.pdf

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Published

2021-09-04

Issue

Vol. 4 No. 1 (2021)

Section

Original Articles/Review Articles/Case Reports/Short Communications

License

Copyright (c) 2021 Md. Shawkut Ali Khan, Md. Iftakharul Muhib, Md. Kawsar Sajib

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

DISSEMINATING AN AUTOMATED IRRIGATION SYSTEM USING SOLAR ENERGY IN PERSPECTIVE OF BANGLADESH. (2021). American International Journal of Sciences and Engineering Research , 4(1), 14-25. https://doi.org/10.46545/aijser.v4i1.181