In agriculture, despite large-scale funding with extension of irrigation services and it is a major concern that many sectors are facing deficits in management of water. Irrigation system is one of the major aspects to be enriched meeting the economic and sustainable challenges of the farmers. Recent trends in the area of Wireless Sensor Networks (WSN) have influenced a wide implementation of various applications in the area of precise agriculture. WSNs for environmental condition monitoring with defined knowledge are used for estimating crop growth and yield properties. The proposed system automates the irrigation and fertigation using WSN to make comparatively high yield than the traditional methods. Irrigation scheduling is estimated by use of WSNs real time monitoring of weather and soil properties. The exigent need for solving the constraints, Evapotranspiration (ET) system is integrated with irrigation module which uses Penman-Monteith FAO-56 model for calculating crop water need. The disadvantages of traditional agricultural systems remove by utilizing water resource efficiently. As a result, the proposed system helps in water conservation to a great extent and also reduces soil erosion as only the required fertilizers are injected via the drip system. The paper also includes the implementation and results of surface drip irrigation and sub-surface drip irrigation are implemented in maize and sugarcane field respectively.

irrigation System, WSN, Crop Selection

[1] N Seenu Manju Mohan Jeevanath V S, “Android Based Intelligent Irrigation System”, International Journal of Pure and Applied Mathematics Volume 119 No. 7 2018, 67-71
[2] Akshay Atole, Apurva Asmar, Amar Biradar, Nikhil Kothawade, Sambhaji Sarode Rajendra G. Khope “Iot Based Smart Farming System” Journal of Emerging Technologies and Innovative Research (JETIR) April 2017, Volume 4, Issue 04.
[3] Nikesh Gondchawar1, Prof. Dr. R. S. Kawitkar “IoT based Smart Agriculture” International Journal of Advanced Research in Computer and Communication Engineering IJARCCE Vol. 5, Issue 6, June 2016.
[4] Drishti Kanjilal, Divyata Singh, Rakhi Reddy, and Prof Jimmy Mathew “Smart Farm: Extending Automation to The Farm Level” International Journal Of Scientific & Technology Research Volume 3, Issue 7, July 2014.
[5] 1 Dr.N.Suma,2 Sandra Rhea Samson,3 S.Saranya, 4 G.Shanmugapriya,5 R. Subhashri “IOT Based Smart Agriculture Monitoring System” International Journal on Recent and Innovation Trends in Computing and Communication IJRITCC | February 2017 Volume: 5 Issue: 2 177 – 181, 177.
[6] Vaishali S, Suraj S, Vignesh G, Dhivya S and Udhayakumar S “Mobile Integrated Smart Irrigation Management and Monitoring System Using IOT” International Conference on Communication and Signal Processing, April 6-8, 2017, India.
[7] Prathibha S R1, Anupama Hongal 2, Jyothi M P, “IOT BASED MONITORING SYSTEM IN SMART AGRICULTURE” 2017 International Conference on Recent Advances in Electronics and Communication Technology IEEE2017.
[8] Mrs.S.Devi Mahalakshmi, Rajalakshmi.P “IOT Based Crop-Field Monitoring and Irrigation Automation”.
[9] Jason Parmenter, Alex N. Jensen, and Steve Chiu “Smart Irrigation Controller” 978-1-4799-4774-4/14 ©2014 IEEE.
[10] Ramkumar.R#1 Kaliappan.S*2 Vignesh.L#3 “IoT Based Smart Irrigation System using Image Processing” SSRG International Journal of Electrical and Electronics Engineering (SSRG-IJEEE) – volume 4 Issue 3 – March 2017 Page 5.
[11] John A. Stankovic, Life Fellow, “Research direction for the Internet of Things”IEEE, 2014.
[12] C.Zhu, V.Leung, L. Shu and E. C. H Ngai, “Green Internet of Things for smart world”IEEE, 2015, vol. 3, pp.2151-2162.
[13] Prathibha S R1, Anupama Hongal 2, Jyothi M “Iot based monitoring system in Smart agriculture”, IEEE, 2017.
[14] Carlos cambra et al., “An IoT service oriented system for agriculture monitoring” IEEE ICC 2017. [20] R. Nageswara Rao et al., “Iot Based Smart Crop-Field Monitoring And Automation Irrigation System” IEEE, ICISC 2018.