Automatic IoT Based Plant Monitoring and Watering System using Raspberry Pi

Full Text (PDF, 604KB), PP.55-67

Views: 0 Downloads: 0


Anusha k 1 U.B. Mahadevaswamy 1

1. Department of Electronics and Communication Sri Jayachamarajendra College of Engineering, Mysuru-570006, Karnataka, India

* Corresponding author.


Received: 28 Jul. 2018 / Revised: 23 Aug. 2018 / Accepted: 7 Oct. 2018 / Published: 8 Nov. 2018

Index Terms

Internet of Things, sensors, Raspberry Pi and motor


The main objective of this proposed work is to develop an Embedded System for plant monitoring and watering system using Internet of Things, Raspberry Pi as Processor, and sensors for sensing environmental conditions. In this work, IoT concept is introduced to connect devices through Internet and facilitate information access by the users. The system can obtain accurate perception of Environmental information in agriculture field and then transmit the same to users. The system monitors different parameters like Temperature, Humidity, Soil Moisture and Intensity of light. IR sensor is fixed to check any external object entry into the field, in case of intruder detection buzzer will turn on for few seconds. The Motor fixed in the field operates both manually and automatically depending upon Moisture sensor results in soil. Motor automatically switches between on and off stage of pumping action. Results are observed either in web app and monitor.

Cite This Paper

Anusha k, U B Mahadevaswamy,"Automatic IoT Based Plant Monitoring and Watering System using Raspberry Pi", International Journal of Engineering and Manufacturing(IJEM), Vol.8, No.6, pp.55-67, 2018. DOI: 10.5815/ijem.2018.06.05


[1]Joaquin Gutierez, Juan Francisco viva-medina, Alejandra Nieto-Garibay,and Miquel Angel porta-Gandara “Automated Iriigation System using a Wireless sensor Network and GPRS Module”, IEEE Transactions on Instrumentation and measurement,Vol.63,No.1,January 2014.

[2]Kaushik Bhagawati, Rupankar Bhagawati and Doni Jini ICAR Research Complex for NEH Region, Arunachal Pradesh Centre, Basar-791101, India.”Intelligence and its Application in Agriculture: Techniques to Deal with Variations and Uncertainties”, I.J. Intelligent Systems and Applications, 2016, 9, 56-61. Published Online September 2016 in MECS ( DOI: 10.5815/ijisa.2016.09.07

[3]Ibrahim Mat, Mohamed Rawidean Mohd Kassim, Ahmad Nizar Harun, Ismail Mat Yusoff  MIMOS, Ministry of Science, Technology and Innovation,  Kuala Lumpur, MALAYSIA, “IoT in Precision Agruculture applications Using Wireless Mositure Network” IEEE 2016 Conference on open systems(ICOS),October 10-12,2016,Langkawi,Malaysia.

[4]Tanmay Baranwal, Nitika, Pushpendra kumar Pateriya, Department of Computer Science, Lovely professional university, phagwara, Punjab.”Development of IoT based Smart Security and Monitoring Devices for Agriculture”.978-1-4673-8203-8/16/$31.00 ©2016 IEEE.

[5]Mohamed Rawidean Mohd Kassim, Ibrahim Mat Ahmad Nizar Harun MIMOS, Ministry of Science, Technology and Innovation Kuala Lumpur, MALAYSIA.”Wireless Sensor Network in Precision Agriculture Application”. 978-1-4799-4383-8/14/$31.00©2014 IEEE.

[6]Kerry Taylor, Colin Griffith, Laurent Lefort, Raj Gaire, Michael Compton, and Tim Wark, CSIRO David Lamb, Greg Falzon, and Mark Trotter, University of New England, New South Wales “Farming the web of things” IEEE INTELLIGENT SYSTEMS on 2013.

[7]Shruti A Jaishetty, Rekha patil M.Tech department   of   computer science and engineering, poojya doddappa appa college of engg, kalaburgi ,Karnataka “IOT sensor approach network based approach for agricultural field monitoring and control”,Journel of Research in Engineering and technology, vol-05 issue 06 June 2016. 

[8]Silke migdall, Philipp Klug, Denis, Heike Bach VISTA Remote Sensing in Geosciences GmbH, Gabelsbergerstr.51, 80333 Munchen, Germany. University of Leige,water, environment and development unit, arlon campus environment Belgium “the additional valve of hyper spectral data for smart farming” @2012, IEEE.

[9]Gao Junxiang, Du Haiqing, School of science Huazhang agriculture university, Wuhan 430070,china , school of information and communication engineering Beijing university of posts and telecommunication, 100876, ..China” Design of green house surveillance system based on embedded web server technology” procedia engineering 23(2011 374-379).

[10]Tusher H.Gore, Mayuri p.kote,parameshwari B. varpe, Prof. M.T.Jagtap BE computer PVG COE Nausik, Maharashtra,HOD computer PVG COE Nausik, Maharashtra  “Crop monitoring.. Analysis and controlling system”, Journal of Advanced research in computer science and software engineering, volume-6, issue 2, February 2016.

[11]Zhao Liqiang, yin shouyi, Liu .Leibo, Zhang Zhen, Wei shaojun “A crop monitoring system based on wireless sensor network” 1878-0296 © 2011 published by Elsevier .Ltd.

[12]Keerthi.V. V. V, Dr. G.N.Kodandaramaiah, Department of embedded systems, kuppam engineering college, JNT University, AP, Department of ECE ,kuppam engineering college, JNT University, AP. “cloud IoT Based Greenhouse monitoring system” Journal of Engineering Research and Applications, vol.5, issue 10,(part-3) October 2015.

[13]Purnima, S.R.N.Reddy, PhD “Design of Remote monitoring system with automatic irrigation system using GSM-Bluetooth” Journal of computer applications, vol 47-No.12, June 2012.

[14]Shwetha S. Patil, Ashwini V. Malviya “agricultural field monitoring system using ARM” Journal of advanced research in electrical, electronics and instrumentation engineering, Vol-3, issue 4, April 2014.

[15]Kirankumar Y.Bendigeri, Jayashree D.Mallapur “Advanced remote monitoring of a crop in agriculture using wireless sensor network topologies”, Journal of electronics and communication engineering and technology,  Volume 6, Issue 9, Sep 2015, pp. 30-38.

[16]Vipin k yedewar, Supriya. N. Kokate, prof.Mayur D.Ghatole “Review on crop monitoring system using GSM Technology”, Journal of Engineering and technology, vol 04 issue 01 Jan 2017.

[17]Jaideep Kaur, Kamaljit Kaur “Internet of Things: A Review on Technologies, Architecture, Challenges, Applications, and Future Trends”. I. J. Computer Network and Information Security, 2017, 4, 57-70 Published Online April 2017 in MECS ( DOI: 10.5815/ijcnis.2017.04.07.