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WIRELESS SENSOR NETWORK BASED REMOTE DRIP IRRIGATION SYSTEM

Year 2018, Volume: 6 Issue: 4, 554 - 563, 11.12.2018
https://doi.org/10.21923/jesd.443576

Abstract

From past to present, different methods have been used
for agricultural irrigation systems. Among these, drip irrigation system is
more efficient than the others. In drip irrigation system, wireless sensor
network is proposed to provide optimized water supply. On the other hand,
zigbee has been recently used for remote irrigation systems. In irrigation
system, majority of electrical energy is consumed by the pump motors.
Therefore, electricity derived from solar energy is important for the economy
of our country for the evaluation of cultivated land in settlements where there
are no electricity transmission and distribution and far from the city center.
In this study, remote controlled and solar powered based drip irrigation system
with using wireless sensor network is carried out. In the system, there are two
dripping system line and each dripping system line has a sensor and a valve
module. These modules and system are controlled by a main module. Moreover,
energy of these modules are provided by solar panels and they are communicated
with each other via wireless sensor network. The control of the drip irrigation
system is provided by the Android interface. Also, the system can be controlled
manually or automatically with android interface via SMS.  

References

  • Agrawal, N., & Singhal, S., 2015. Smart drip irrigation system using raspberry pi and arduino. In Computing, Communication & Automation (ICCCA), 2015 International Conference on IEEE, 928-932.
  • Akyildiz, I. F., & Vuran, M. C., 2010. Wireless sensor networks, John Wiley & Sons, 4.
  • Bayram, M. Remote Controlled Wireless Networks with Irrigation Management System for Agricultural Lands. Bachelor Thesis, Suleyman Demirel University, Electrical-Electronics Engineering Department, Isparta, Turkey, 2016.
  • Bingöl, O., & Özkaya, B. 2018. Analysis and comparison of different PV array configurations under partial shading conditions. Solar Energy, 160, 336-343.
  • Dursun, M., & Ozden, S., 2011. A wireless application of drip irrigation automation supported by soil moisture sensors. Scientific Research and Essays, 6(7), 1573-1582.
  • Dursun, M., & Özden, S., 2014. An efficient improved photovoltaic irrigation system with artificial neural network based modeling of soil moisture distribution–A case study in Turkey. Computers and electronics in agriculture, 102, 120-126.
  • Dursun, M., & Özden, S., 2015. Control of soil moisture with radio frequency in a photovoltaic-powered drip irrigation system. Turkish Journal of Electrical Engineering & Computer Sciences, 23(2), 447-458.
  • 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.
  • Kalaivani, T., Allirani, A., & Priya, P., 2011. A survey on Zigbee based wireless sensor networks in agriculture. In Trendz in Information Sciences and Computing (TISC), 2011 3rd International Conference on IEEE, 85-89.
  • 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.
  • Kiriş, B., Bingöl, O., Şenol, R., & Altintaş, A., 2016. Solar Array System Layout Optimization for Reducing Partial Shading Effect. Acta Physica Polonica A, 130(1), 55-59.
  • Lee, J. S., Su, Y. W., & Shen, C. C., 2007. A comparative study of wireless protocols: Bluetooth, UWB, ZigBee, and Wi-Fi. In Industrial Electronics Society, 2007. IECON 2007. 33rd Annual Conference of the IEEE, 46-51.
  • Navarro-Hellín, H., Torres-Sánchez, R., Soto-Valles, F., Albaladejo-Pérez, C., López-Riquelme, J. A., & Domingo-Miguel, R., 2015. A wireless sensors architecture for efficient irrigation water management. Agricultural Water Management, 151, 64-74.
  • Nikolidakis, S. A., Kandris, D., Vergados, D. D., & Douligeris, C., 2015. Energy efficient automated control of irrigation in agriculture by using wireless sensor networks. Computers and Electronics in Agriculture, 113, 154-163.
  • Nisha, G., & Megala, J., 2014. Wireless sensor Network based automated irrigation and crop field monitoring system. In Advanced Computing (ICoAC), 2014 Sixth International Conference on IEEE, 189-194.
  • Patel, J. B., Bhatt, C. B., Patel, B., Parwani, K., & Sohaliya, C., 2011. Field irrigation management system using wireless sensor network. In Engineering (NUiCONE), 2011 Nirma University International Conference on IEEE, 1-4.
  • Rahim, N. A., Ping, H. W., & Selvaraj, J., 2013. Photovoltaic module modeling using Simulink/Matlab. Procedia Environmental Sciences, 17, 537-546.
  • Rasin, Z., Hamzah, H., & Aras, M. S. M., 2009. Application and evaluation of high power zigbee based wireless sensor network in water irrigation control monitoring system. In Industrial Electronics & Applications, 2009. ISIEA 2009. IEEE Symposium on IEEE, 2, 548-551.
  • Shuwen, W., & Changli, Z., 2015. Study on farmland irrigation remote monitoring system based on ZigBee. In Computer and Computational Sciences (ICCCS), 2015 International Conference on IEEE, 193-197.
  • Tsai, H. L., Tu, C. S., & Su, Y. J., 2008. Development of generalized photovoltaic model using MATLAB/SIMULINK. In Proceedings of the world congress on Engineering and computer science, 1-6.

KABLOSUZ SENSÖR AĞ TABANLI UZAKTAN DAMLAMA SULAMA SİSTEMİ

Year 2018, Volume: 6 Issue: 4, 554 - 563, 11.12.2018
https://doi.org/10.21923/jesd.443576

Abstract

Geçmişten günümüze tarımsal sulama sistemlerinde farklı yöntemler
kullanılmıştır. Bunların arasında, damlama sulama sistemi diğer yöntemlere göre
daha etkili ve verimlidir. Damlama sulama sisteminde, kablosuz sensör ağları
optimize su temini için kullanılırken, zigbee teknolojisi uzaktan damlama
sulama sistemleri için kullanılmaktadır. Ayrıca, sulama sistemlerinde pompa
motorları elektriğin büyük bir çoğunluğunu tüketmektedir. Bu nedenle, güneş
enerjisi ile elde edilen elektrik, elektrik iletim ve dağıtımının olmadığı ve
şehir merkezine uzak olan yerleşim yerleri için önemlidir. Yapılan çalışmada,
uzaktan kontrollü, güneş enerjisi tabanlı ve kablosuz sensör ağlarının
kullanıldığı damlama sulama sistemi uygulaması gerçekleştirilmiştir. Sistemde,
iki damlama hattı olup, her bir hat sensör ve valf modülün sahiptir. Bu
modüller ve sistem bir ana modül tarafından kontrol edilmektedir. Ayrıca, bu
modüllerin enerjisi güneş enerjisi kullanılarak elde edilmekte olup, birbirleri
ile kablosuz sensör ağı üzerinden haberleşmektedir. Damlama sulama sisteminin
kontrolü Android arayüz üzerinden sağlanmaktadır ve sistem manuel ve otomatik
olarak kontrol edilebilmektedir.

References

  • Agrawal, N., & Singhal, S., 2015. Smart drip irrigation system using raspberry pi and arduino. In Computing, Communication & Automation (ICCCA), 2015 International Conference on IEEE, 928-932.
  • Akyildiz, I. F., & Vuran, M. C., 2010. Wireless sensor networks, John Wiley & Sons, 4.
  • Bayram, M. Remote Controlled Wireless Networks with Irrigation Management System for Agricultural Lands. Bachelor Thesis, Suleyman Demirel University, Electrical-Electronics Engineering Department, Isparta, Turkey, 2016.
  • Bingöl, O., & Özkaya, B. 2018. Analysis and comparison of different PV array configurations under partial shading conditions. Solar Energy, 160, 336-343.
  • Dursun, M., & Ozden, S., 2011. A wireless application of drip irrigation automation supported by soil moisture sensors. Scientific Research and Essays, 6(7), 1573-1582.
  • Dursun, M., & Özden, S., 2014. An efficient improved photovoltaic irrigation system with artificial neural network based modeling of soil moisture distribution–A case study in Turkey. Computers and electronics in agriculture, 102, 120-126.
  • Dursun, M., & Özden, S., 2015. Control of soil moisture with radio frequency in a photovoltaic-powered drip irrigation system. Turkish Journal of Electrical Engineering & Computer Sciences, 23(2), 447-458.
  • 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.
  • Kalaivani, T., Allirani, A., & Priya, P., 2011. A survey on Zigbee based wireless sensor networks in agriculture. In Trendz in Information Sciences and Computing (TISC), 2011 3rd International Conference on IEEE, 85-89.
  • 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.
  • Kiriş, B., Bingöl, O., Şenol, R., & Altintaş, A., 2016. Solar Array System Layout Optimization for Reducing Partial Shading Effect. Acta Physica Polonica A, 130(1), 55-59.
  • Lee, J. S., Su, Y. W., & Shen, C. C., 2007. A comparative study of wireless protocols: Bluetooth, UWB, ZigBee, and Wi-Fi. In Industrial Electronics Society, 2007. IECON 2007. 33rd Annual Conference of the IEEE, 46-51.
  • Navarro-Hellín, H., Torres-Sánchez, R., Soto-Valles, F., Albaladejo-Pérez, C., López-Riquelme, J. A., & Domingo-Miguel, R., 2015. A wireless sensors architecture for efficient irrigation water management. Agricultural Water Management, 151, 64-74.
  • Nikolidakis, S. A., Kandris, D., Vergados, D. D., & Douligeris, C., 2015. Energy efficient automated control of irrigation in agriculture by using wireless sensor networks. Computers and Electronics in Agriculture, 113, 154-163.
  • Nisha, G., & Megala, J., 2014. Wireless sensor Network based automated irrigation and crop field monitoring system. In Advanced Computing (ICoAC), 2014 Sixth International Conference on IEEE, 189-194.
  • Patel, J. B., Bhatt, C. B., Patel, B., Parwani, K., & Sohaliya, C., 2011. Field irrigation management system using wireless sensor network. In Engineering (NUiCONE), 2011 Nirma University International Conference on IEEE, 1-4.
  • Rahim, N. A., Ping, H. W., & Selvaraj, J., 2013. Photovoltaic module modeling using Simulink/Matlab. Procedia Environmental Sciences, 17, 537-546.
  • Rasin, Z., Hamzah, H., & Aras, M. S. M., 2009. Application and evaluation of high power zigbee based wireless sensor network in water irrigation control monitoring system. In Industrial Electronics & Applications, 2009. ISIEA 2009. IEEE Symposium on IEEE, 2, 548-551.
  • Shuwen, W., & Changli, Z., 2015. Study on farmland irrigation remote monitoring system based on ZigBee. In Computer and Computational Sciences (ICCCS), 2015 International Conference on IEEE, 193-197.
  • Tsai, H. L., Tu, C. S., & Su, Y. J., 2008. Development of generalized photovoltaic model using MATLAB/SIMULINK. In Proceedings of the world congress on Engineering and computer science, 1-6.
There are 20 citations in total.

Details

Primary Language English
Subjects Electrical Engineering
Journal Section Research Articles
Authors

Okan Bingöl 0000-0001-9817-7266

Burçin Özkaya 0000-0002-9858-3982

Mustafa Bayram This is me 0000-0003-2179-0374

Publication Date December 11, 2018
Submission Date July 16, 2018
Acceptance Date September 27, 2018
Published in Issue Year 2018 Volume: 6 Issue: 4

Cite

APA Bingöl, O., Özkaya, B., & Bayram, M. (2018). WIRELESS SENSOR NETWORK BASED REMOTE DRIP IRRIGATION SYSTEM. Mühendislik Bilimleri Ve Tasarım Dergisi, 6(4), 554-563. https://doi.org/10.21923/jesd.443576