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A Review of Wireless Sensor Networks in Automated Irrigation

Affiliations

  • SASTRA University, Thanjavur - 613401, Tamil Nadu, India
  • School of Computing, SASTRA University, Thanjavur - 613401, Tamil Nadu, India

Abstract


Objectives: The objective of making the irrigation system automated is not only to decrease the human intervention but also to irrigate optimal water to the crop without affecting its growth. The aim of this paper is to focus on existing technologies for making the irrigation process autonomous and effective use of wireless sensor networks. Method: Many existing methodologies use threshold based algorithm and fuzzy logic which lead to imprecise output. Findings: For the effective automated irrigation, the factors such as the algorithm for finding reference evapo-transpiration and the sensor node capabilities in terms of processing and communication unit and possible exceptions during the irrigation process all have to be considered to have a precise agriculture. Applications: Agriculture is an important area where sensors are deployed for providing abundant benefits like determining the water requirement of the crop, fertility of the soil, index of the leaf area, temperature of the leaf, data about local climate, water quality, water overflow, water continuity etc.

Keywords

Automated Irrigation, Fertility, Optimal Water, Wireless Sensor Networks.

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References


  • CDC - Types of Agricultural Water Use - Agricultural Water - Other Uses of Water - Healthy Water [Internet]. Cdc.gov. Available from: http://www.cdc.gov/healthywater/other/ agricultural/types.html
  • Rehat – Traditional Irrigation [Internet]. Available from: https://www.youtube.com/watch?v=VpLuCWB7siA
  • Google Search [Internet]. Available from: Books.google.co.in. Available from: https://books.google.co.in/ books?isbn=8132100182
  • Chapter 5. Sprinkler Irrigation [Internet]. Fao.org. Available from: http://www.fao.org/docrep/s8684e/s8684e06.htm
  • Chapter 6. Drip Irrigation [Internet]. Fao.org. Available from: http://www.fao.org/docrep/s8684e/s8684e07.htm
  • Kuzhalvaimozh CS. Irrigation and internet of things platform.IRJET. 2016; 3(3):1643-6.
  • Wireless Sensor Networks for Agricultural Applications [Internet]. Fraunhofer Food Chain Management Alliance.Available from: http://www.fcm.fraunhofer.de/en/ beispiele11/drahtlose_sensornetzeinderland-undforstwirtschaft.html
  • on o evapotranspiration [Internet]. Fao.org. Available from: http://www.fao.org/docrep/x0490e/x0490e04.htm
  • Pandey S, Kumar M, Chakraborty S, Mahanti NC. A statistical comparison of reference evapotranspiration methods: A case study from Jharkhand state of India. International Journal of Innovative Research in Science, Engineering and Technology. 2014; 3(1):8765-77.
  • Bausch WC. Crop coefficients for use in irrigation scheduling.Water Conservation Factsheet, Ministry of Agriculture, Food and Fisheries. 2001 Oct; 27(1):55-68.
  • Gutierrez J, Villa-Medina J, Nieto-Garibay A, Porta-Gandara M. Automated irrigation system using a Wireless Sensor Network and GPRS module. IEEE Transaction on Instrumentation and Measurements. 2014; 63(1):166-76.
  • Gutierrez Jaguey J, Villa-Medina J, Lopez-Guzman A, PortaGandara M. Smartphone Irrigation Sensor. IEEE Sensors Journal. 2015; 15(9):5122-7.
  • Coates R, Delwiche M, Broad A, Holler M. Wireless sensor network with irrigation valve control. Computers and Electronics in Agriculture. 2013; 96:13-22.
  • Nikolidakis S, Kandris D, Vergados D, Douligeris C. Energy efficient automated control of irrigation in agriculture by using wireless sensor network. Computers and Electronics in Agriculture. 2015; 113:154-63.
  • Goumopoulos C, O’Flynn B, Kameas A. Automated zone-specific irrigation with wireless sensor/actuator network and adaptable decision support. Computers and Electronics in Agriculture. 2014; 105:20-33.
  • Yu X, Han W, Zhang Z. Remote monitoring system for intelligent irrigation in hybrid wireless sensor networks.International Journal of Control and Automation. 2015; 8(3):185-96.
  • Merlin Suba G, Jagadeesh YM, Karthik S, Sampath ER.Smart irrigation system through wireless sensor networks.ARPN Journal of Engineering and Applied Sciences. 2015; 10(17):7452-5.
  • Mafuta M, Zennaro M, Bagula A, Ault G, Gombachika H, Chadza T. Successful deployment of a wireless sensor network for precision agriculture in Malawi. International Journal of Distributed Sensor Networks. 2013: 1-13.
  • Rahangadale VS, Choudhary DS. On fuzzy logic based model for irrigation controller using Penman-Monteith equation. 2nd National Conference on Information and Communication Technology, NCICT; 2011. p. 22-5.
  • Touati F, Al-Hitmi M, Benhmed K, Tabish R. A fuzzy logic based irrigation system enhanced with wireless data logging applied to the state of Qatar. Computers and Electronics in Agriculture. 2013; 98:233-41.
  • Nesa Sudha M, Valarmathi M, Babu A. Energy efficient data transmission in automatic irrigation system using wireless sensor networks. Computers and Electronics in Agriculture.2011; 78(2):215-21.
  • Mohapatra A, Lenka S. Neural network pattern classification and weather dependent fuzzy logic model for irrigation control in WSN based precision agriculture. Procedia Computer Science. 2016; 78:499-506.
  • Dong X, Vuran M, Irmak S. Autonomous precision agriculture through integration of wireless underground sensor networks with center pivot irrigation systems. Ad Hoc Networks.2013; 11(7):1975-87.
  • Salam Al-Ammri, Sherin Ridah. Smart irrigation system using wireless sensor network. International Journal of Engineering Research and Technology. 2014; 11(7):3204-9.
  • Gao L, Zhang M, Chen G. An intelligent irrigation system based on wireless sensor network and fuzzy control. Journal of Networks. 2013; 8(5):1080-7.
  • Nallani S, Berlin Hency V. Low power cost effective automatic irrigation system. Indian Journal of Science and Technology. 2015; 8(23):1-6.
  • Mamun AA, Ahmed N, Ahamed NU, Matiur Rahman SAM, Ahmad B, Sundaraj K. Use of wireless sensor and microcontroller to develop water-level monitoring system. Indian Journal of Science and Technology. 2014; 7(9):1321-6.

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