Current Science

Open Access Open Access  Restricted Access Subscription Access

Smart Automatic Irrigation Controller


Affiliations
1 University Institute of Technology, Golapbag (North), Burdwan 713 104, India
2 Electrical Engineering, Jadavpur University, Kolkata 700 032, India
 

Adherence to outdated irrigation techniques causes massive water wastage. In this article, a device is prototyped to curtail this wastage of water by optimizing the irrigation requirements. The design, named smart automatic irrigation controller (SAIC) measures the necessary parameters and determines evapotranspiration (ET) loss. The fuzzy rule based design, evaluates the process variables and generates an output regulation to compensate for the water loss due to ET. The model has two units, viz. wireless sensor unit (WSU) and wireless information processing unit (WIPU) to perform the stated operations. The device is connected to a cloud server for data repository and remote access and control. The novelty of the model is the design of the fuzzy rule base in the controller that dictates the regulation of the actuators. The prototype is handy and industry-ready for mass-scale application and usage as it has shown very high accuracy in both simulation and during dry-run.

Keywords

Agriculture, Automatic Controller, Evapo-Transpiration, Fuzzy Logic, Irrigation, Sensors, SIAC.
User
Notifications
Font Size

  • Poyen, F., Automated watering system for agricultural fields. Int. J. Adv. Electron. Eng., 2012, 2(3), 104–107.

  • Agropedia.iitk.ac.in, irrigation water management in paddy agropedia, 2018; http://agropedia.iitk.ac.in/content/irrigation-water-management-paddy

  • Irrigation.org, 2019; https://www.irrigation.org/IA/FileUploads/IA/Advocacy/Principles_of_Efficient_Agriculture_Irrigation_7-17.pdf

  • Allen, R., Crop evapotranspiration – guidelines for computing crop water requirements – FAO irrigation and drainage paper 56.Food and Agriculture Organization, United Nations, Rome, 1998, pp. 1–15.

  • Nemali, K. and van Iersel, M., An automated system for controlling drought stress and irrigation in potted plants. Sci. Hortic., 2006, 110(3), 292–297; doi:10.1016/j.scienta.2006.07.009.

  • O’Shaughnessy, S. and Evett, S., Canopy temperature-based system effectively schedulesand controls centre pivot irrigation of cotton. Agric. Water Manage., 2010, 97(9), 1310–1316; doi:10.1016/j.agwat.2010.03.012.

  • Feng, Z., Research on water-saving irrigation automatic control system based on internet of things. In International Conference on Electric Information and Control Engineering, Wuhan, China, 2011, pp. 2541–2544; doi:10.1109/iceice.2011.5778297.

  • IEEE Standard for Information Technology – telecommunications and information exchange between systems – local and metropolitan networks – specific requirements – Part 11: wireless LAN medium access control (MAC) and physical layer (PHY) specifications: higher speed physical layer (PHY) extension in the 2.4 GHz band, 2000; doi:10.1109/ieeestd.2000.90914.

  • IEEE Standard for Information Technology – local and metropolitan area networks – specific requirements – Part 15.4: wireless medium access control (MAC) and physical layer (PHY) specifications for low rate wireless personal area networks (WPANs), 2006; doi:10.1109/ieeestd.2006.232110.

  • Gutierrez, J., Villa-Medina, J., Nieto-Garibay, A. and Porta-Gandara, M., Automated irrigation system using a wireless sensor network and GPRS module. IEEE Trans. Instrum. Meas., 2014, 63(1), 166–176; doi:10.1109/tim.2013.2276487.

  • Parmenter, J., Jensen, A. and Chiu, S., Smart irrigation controller. In IEEE International Conference on Electro/Information Technology, Milwaukee, 2014, pp. 394–398; doi:10.1109/eit.2014.6871796.

  • Wang, N., Zhang, N. and Wang, M., Wireless sensors in agriculture and food industry – recent development and future perspective. Comput. Electron. Agric., 2006, 50(1), 1–14; doi:10.1016/j.compag.2005.09.003.

  • Chaudhary, D., Nayse, S. and Waghmare, L., Application of wire-less sensor networks for greenhouse parameter control in precision agriculture. Int. J. Wireless Mobile Networks, 2011, 3(1), 140– 149; doi:10.5121/ijwmn.2011.3113.

  • Marino, P., Fontan, F., Dominguez,M. and Otero, S., An experimental ad-hoc WSN for the instrumentation of biological models. IEEE Trans. Instrum. Meas., 2010, 59(11), 2936–2948; doi: 10.1109/tim.2010.2045970.

  • Kim, Y., Evans, R. and Iversen, W., Remote sensing and control of an irrigation system using a distributed wireless sensor network. IEEE Trans. Instrum. Meas., 2008, 57(7), 1379–1387; doi:10.1109/tim.2008.917198.

  • Fisher, D. and Kebede, H., A low-cost microcontroller-based system to monitor crop temperature and water status. Comput. Electron. Agric., 2010, 74(1), 168–173; doi:10.1016/j.compag.2010.07.006.

  • Kim, Y., Jabro, J. and Evans, R., Wireless lysimeters for real-time online soil water monitoring. Irrigation Sci., 2010, 29(5), 423– 430; doi:10.1007/s00271-010-0249-x.

  • Mirabella, O. and Brischetto, M., A hybrid wired/wireless networking infrastructure for greenhouse management. IEEE Trans. Instrum. Meas., 2011, 60(2), 398–407; doi:10.1109/tim.2010.2084250.

  • Akyildiz, I., Su, W., Sankarasubramaniam, Y. and Cayirci, E., A survey on sensor networks. IEEE Commun. Mag., 2002, 40(8), 102–114; doi:10.1109/mcom.2002.1024422.

  • Yick, J., Mukherjee, B. and Ghosal, D., Wireless sensor network survey. Comput. Networks, 2008, 52(12), 2292–2330; doi:10.1016/j.comnet.2008.04.002.

  • Felix, A., Orovwode, H., Awelewa, A., Wara, S. and Tobiloba, O., Design and implementation of an automatic irrigation system based on monitoring soil moisture. J. Electr. Eng., 2016, 16, 206– 215.

  • Marinescu, T. et al., Advanced control strategies for irrigation systems. In 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), Bucharest, 2017, pp. 843–848; doi:10.1109/idaacs.2017.8095206.

  • Avsar, E., Bulus, K., Saridas, M. and Kapur, B., Development of a cloud-based automatic irrigation system: A case study on strawberry cultivation. In 7th International Conference on Modern Circuits and Systems Technologies (MOCAST), Thessaloniki, 2018, pp. 1–4; doi:10.1109/mocast.2018.8376641.

  • Taş, İ. and Kirnak, H., Empirical models used in the estimation of crop evapotranspiration in semi-arid region of Turkey. ADU Ziraat Fakültesi Dergisi, 2011, 8(1), 57–66.

  • Romero, R., Muriel, J., García, I. and Muñoz de la Peña, D., Research on automatic irrigation control: state-of-the-art and recent results. Agric. Water Manage., 2012, 114, 59–66; doi:10.1016/j.agwat.2012.06.026.

  • Poyen, F., Kundu, P. and Ghosh, A., Temperature based ET method selection for Burdwan district in WB, India. Int. J. Appl. Eng. Res., 2018, 13(16), 12753–12763.

  • Poyen, F., Kundu, P. and Ghosh, A., pH control of untreated water for irrigation. J. Inst. Eng. (India): Series A, 2018, 99(3), 539– 546; doi:10.1007/s40030-018-0297-4.

  • Bardhaman.nic.in, Geography:Burdwan District, 2018; http://www.bardhaman.nic.in/geography.html


Abstract Views: 430

PDF Views: 119




  • Smart Automatic Irrigation Controller

Abstract Views: 430  |  PDF Views: 119

Authors

Faruk Poyen
University Institute of Technology, Golapbag (North), Burdwan 713 104, India
Sayan Hazra
University Institute of Technology, Golapbag (North), Burdwan 713 104, India
Nabarun Sengupta
University Institute of Technology, Golapbag (North), Burdwan 713 104, India
Apurba Ghosh
University Institute of Technology, Golapbag (North), Burdwan 713 104, India
Palash Kundu
Electrical Engineering, Jadavpur University, Kolkata 700 032, India

Abstract


Adherence to outdated irrigation techniques causes massive water wastage. In this article, a device is prototyped to curtail this wastage of water by optimizing the irrigation requirements. The design, named smart automatic irrigation controller (SAIC) measures the necessary parameters and determines evapotranspiration (ET) loss. The fuzzy rule based design, evaluates the process variables and generates an output regulation to compensate for the water loss due to ET. The model has two units, viz. wireless sensor unit (WSU) and wireless information processing unit (WIPU) to perform the stated operations. The device is connected to a cloud server for data repository and remote access and control. The novelty of the model is the design of the fuzzy rule base in the controller that dictates the regulation of the actuators. The prototype is handy and industry-ready for mass-scale application and usage as it has shown very high accuracy in both simulation and during dry-run.

Keywords


Agriculture, Automatic Controller, Evapo-Transpiration, Fuzzy Logic, Irrigation, Sensors, SIAC.

References





DOI: https://doi.org/10.18520/cs%2Fv118%2Fi6%2F969-976