An IOT Based Automatic Agricultural Monitoring and Irrigation System

Authors(2) :-Dr. M.Yuvaraju, K. J. Priyanga

Agriculture is the basic source of food supply for all countries in the world. Water is the Essential resources for agriculture. The automated irrigation and crop field monitoring system is used to optimize the use of water resource for agriculture. The system consists of sensor network for humidity, temperature, soil moisture, colour and water level sensors. soil moisture, temperature, water level ,colour sensor are placed in the root zone of the crops. The microcontroller of the controller unit is programmed with threshold values of the temperature and moisture content. The controller unit is used to control the irrigation motor thereby controlling the water flow to the field. In addition to that water level sensor is placed in this field, if it is excess water the motor gets automatically pumps the water into the outer area. Colour sensor provide the appropriate colour of leaf and the user give the pesticide before destroying plants. Field measure data about paddy plants. Raspberry pi is used in the controller mode. Internet of the things(IOT) is an ecosystem of connected physical objects that are accessible through the internet. Real time monitoring data can be utilized and the performance can be tracked. Hence high yield can be achieved. This project is mainly focused on improving the agricultural fields yield by providing a monitoring system with effective and efficient usage of water resource. Thus further development in this project will lead to a greater efficiency in the field of agriculture.

Authors and Affiliations

Dr. M.Yuvaraju
Electrical & Electronics Engineering, Anna University Regional Campus, Coimbatore, India
K. J. Priyanga
Electrical & Electronics Engineering, Anna University Regional Campus, Coimbatore, India

Internet of things, water level, temperature, humidity, soil moisture, colour sensor.

(1) “A Crop Water Stress Index For Accessing Irrigation Scheduling Of Drip Irrigation Brocoli” by Erdem,L.Arin,T.Erdem,S.Polat in the year 2013.
(2) “A Comparative Study Of Wireless Protocols : Bluetooth, Zigbee and WIFI” by J.S. Lee, Y.W.Su, and C.C. Shen in the year 2007.
(3) “A Survey Of MAC Protocols For Mission-Critical Applications In Wireless Sensor Networks” by P. Suriyachai, U. Roedig and A. Scott in the year 2012.
(4) “Automatic Irrigation System Using a Wireless Sensor Network and GPRS Module” by Joaquin G2utierrez, Juan Francisco Villa –Medina , Alejandra Nieto- Garibay in the year 2014.
(5) “Energy Management is Wireless sensor Networks with Energy-Hungrysensor” by C. Alippi, G. Anastasi, D. Francesco in the year 2010.
(6) “Irrigation scheduling and Irrigation system: Optimising Irrigation container Ornamentalshrubs” by O.M. Grant,.M.J. Davies, H.I. ongbottom in the year 2009.
(7) “Microcontroller Based Drip Irrigation System Using Smart Sensor” by Nilesh, R. Patel, Rahul B. Lanjewar in the year 2013.
(8) “PC-Based Automatic Drip Irrigation System” by M. Guerbaoui in the year 2013.
(9) “Remote Sensing And Control of An Irrigation System Using a Distributed Wireless Sensor Network” by Y. Kim, R.G. Evans, and W.M.Iversen in the year 2008.
(10) “Wireless Sensor Network for Conservation And Monitoring Cultural Assets” by M.C. Redriguez, S. Borromeo and J.A. Hernandez - Tamames in the year 2011.
(11) “Wireless sensor Forin-Site Monitoring of Debris Flows” by H.C. Lee, Y-M. Fang, B-J Lee and C-T. King in the year 2012.

Publication Details

Published in : Volume 4 | Issue 5 | March-April 2018
Date of Publication : 2018-04-14
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 66-72
Manuscript Number : CSEIT184507
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Dr. M.Yuvaraju, K. J. Priyanga, "An IOT Based Automatic Agricultural Monitoring and Irrigation System", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 5, pp.66-72, March-April-2018.
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