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IOT and Raspberry-Pi Based Smart Irrigation System

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Raja, C.K., 2021. IOT and Raspberry-Pi Based Smart Irrigation System. United International Journal for Research & Technology (UIJRT), 2(7), pp.33-38.


Agriculture is an important factor especially for developing countries like India. Issues related to agriculture have been always hindering the county’s growth. The solution for this problem is using smart agriculture by modernizing the traditional methods of agriculture. Hence the proposed system aims to make agriculture smart using automation and IoT technologies. Internet of Things(IoT) based proposed system helps to check crop growth and irrigation support. A Raspberry Pi used automatic irrigation IoT system is proposed to improves the productivity of the crop. The main aim of this work is to provide crop development at less water consumption, To provide water to the plants at the required time, farmers waste a lot of time in the fields. So for efficient management of water the proposed system developed on the information sent from the sensors and estimate the quantity of water needed. Sensors are used to get the data to the base station, the humidity and the temperature of the soil, and the duration of sunshine per day. Based on these values the proposed system will calculate the water quantity for irrigation when it is required. Implementation of Precision Agriculture (PA) with cloud computing, will reduce the usage of water fertilizers and maximize the production of the crops and also will help in analyzing the weather conditions of the field.

Keywords: Smart farming, Irrigation system, IoT, Raspberry-pi, cloud computing.


  1. Vigneshwarane, S. muthunpandian, R.C Ranjitsabarinath, Y. Manoj Kumar reddy “IOT Based Crop-Field Monitoring and Irrigation Automation” Vol. 4, Special Issue 19, April 2017
  2. Juaa Francisco Villa-Medina, Joaquín Gutiérrez, Alejandra Nieto-Garibay, and Miguel Ángel Porta-Gándara” Automated Irrigation System Using a Wireless Sensor Network and GPRS Module” IEEE Transactions On Instrumentation And Measurement,Vol 17, 2017
  3. Ashok Kumar b, Mohanraj Krithika, Nare J” Fiel Monitoring And Automation using IOT in Agriculture Domain” IJCSNS, VOL. !5, NO. 6, June 2015
  4. Michael G Williams “A Risk Assessment on Raspberry PI using NIST Standards “Version 1.0 December 2012.
  5. Hands-on Python by Dr. Andrew N. Harrington K. Lakshmi Sudha, Swathi Hegde, Neha Kale, Shruti Iyer,” Smart Precision Based Agriculture Using Sensors”, International Journal Of Computer Application (0975-8887), Volume 146-NO.11, July 2011
  6. Nikesh Gondchawar, Dr. R.S. Kawitkar, “IoT Based Smart Agriculture”, IJARCCE, Vol.5, Issue 6, June 2016
  7. K Gayatri, J Jayasakthi, Dr. G.S. Anandhamala,” Providing Smart Agriculture Solutions to Farmers for Better Yielding Using IOT”, IEEE International Conference On Technological Innovations in ICT for Agriculture and Rural Development (TIAR 2015).
  8. Chetan Dwarkani M, Ganesh Ram R, Jagannathan S, R. Priyadarshni,” Smart Farming System Using Sensors for agriculture Task Automation”, IEEE International Conference on Technological Innovations in ICT for Agriculture And Rural Development (TIAR 2015)
  9. R Nandukar, V.R Thool, R.C Thool,” Design and Development of Precision Agriculture System Using Wireless Sensor Network”, IEEE International Conference on Automation, Control, Energy and System (ACES),2014
  10. Joaquin Gutierrez, Juan Francisco Villa -Medina, Alejandra Nieto-Garibay, and Miguel Angel Porta-Gandara,” Automated Irrigation System Using Wireless Sensor Network and GPRS Module”, IEEE Transactions on Instrumentation and Measurements,0018-9456,2013
  11. Vidya Devi, G. Meena Kumari,” Real-Time Automation and Monitoring System for Modernized Agriculture”, IJRRASE, Vol3 NO.1.pp7-12,2013
  12. Meonghun Lee, Jeonghwan Kwang, Hyun Yoe.” Agriculture Protection System Based on IoT”, IEEE 16th International Conference on Computational Science and Engineering
  13. Monika Jhuria, Ashwani Kumar, Rushikesh Borse “ImageProcessing for Smart Farming: Detection of Disease and Fruit Grading”, IEEE Second International Conference on Image Information Processing(ICIIP),2013.

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