Cloud based agricultural field parameters monitoring using ESP8266 and ZigBee

  • Authors

    • Rohit Samkaria
    • Rajesh Singh
    • Anita Gehlot
    • Sushabhan Choudhary
    2018-09-22
    https://doi.org/10.14419/ijet.v7i4.5.21156
  • IOT, WSN, ZigBee, Cloud Computing

  • Abstract

    To improve the production of agricultural, monitoring of the different parameters in the field has been proven to be the powerful tool. With the advent of technology crop monitoring may be achieved at very precise level; however Wireless Sensor Area Network result in low power and low cost deployments and Cloud based field monitoring is becoming a dominant option. So a method has been developed for agricultural systems that act as phonological indicators of various seasonal developments in the field and number of climate effect upon the regional growth over the crop for a broad region using (IoT) Internet of Things. The developed platform has been evaluated for various field parameters, creating a WSAN with a base station to record various parameters and finally uploaded this parameter to the Internet server. The performance result of the developed system has shown the feasibility and confirms its future aspects in broad sense.

     

     


     

  • References

    1. [1] Ye, Jiuyan, et al. "A precision agriculture management system based on Internet of Things and WebGIS." Geoinformatics (GEOINFORMATICS), 2013 21st International Conference on. IEEE, 2013.

      [2] .Patil, V. C., et al. "Internet of things (Iot) and cloud computing for agriculture: An overview." Proceedings of Agro-Informatics and Precision Agriculture (AIPA 2012), India (2012): 292-296.

      [3] Al Rasyid, M. Udin Harun, et al. "Pollution Monitoring System Using Gas Sensor Based On Wireless Sensor Network." Inter- national Journal of Engineering and Technology Innovation 6.1 (2016): 79-91.

      [4] Shenoy, Jeetendra, and Yogesh Pingle. "IOT in agriculture." Computing for Sustainable Global Development (INDIACom), 2016 3rd International Conference on. IEEE, 2016.

      [5] Shifeng, Yao, et al. "Application of IOT in Agriculture [J]." Journal of Agricultural Mechanization Research 7 (2011): 190- 193.

      [6] Stoces, M., et al. "Internet of Things (IoT) in Agriculture- Selected Aspects." AGRIS on-line Papers in Economics and in- formatics 8.1 (2016): 83.

      [7] Zhao, Ji-chun, et al. "The study and application of the IOT technology in agriculture." Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on. Vol. 2. IEEE, 2010.

      [8] Pau, Giovanni. "Power consumption reduction for wireless sen- sor networks using a fuzzy approach." International Journal of Engineering and Technology Innovation 6.1 (2016): 55-67.

      [9] TongKe, Fan. "Smart agriculture based on cloud computing and IOT." Journal of Convergence Information Technology 8.2 (2013).

      [10] Dlodlo, Nomusa, and Josephat Kalezhi. "The internet of things in agriculture for sustainable rural development." Emerging Trends in Networks and Computer Communications (ETNCC), 2015 International Conference on. IEEE, 2015.

      [11] Yan-e, Duan. "Design of intelligent agriculture management in- formation system based on IoT." Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on. Vol. 1. IEEE, 2011.

      [12] Li, Sanbo. "Application of the internet of things technology in precision agriculture irrigation systems." Computer Science & Service System (CSSS), 2012 International Conference on. IEEE, 2012.

      [13] Lianguang, Mo. "Study on Supply-Chain of Agricultural Prod- ucts based on IOT." Measuring Technology and Mechatronics Automation (ICMTMA), 2014 Sixth International Conference on. IEEE, 2014.

      [14] Gehlot, Anita, et al. "WPAN and PSO based Water Quality Monitoring with LabVIEW as data logger." International Jour- nal of Engineering and Technology (IJET) 7.5 (2015).

      [15] Agarwal, Ateev, et al. "WPAN Based Cattle Health Monitoring With Labview as a Data Logger." International Journal of Fu- ture Generation Communication and Networking 9.6 (2016): 274-284.

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  • How to Cite

    Samkaria, R., Singh, R., Gehlot, A., & Choudhary, S. (2018). Cloud based agricultural field parameters monitoring using ESP8266 and ZigBee. International Journal of Engineering & Technology, 7(4.5), 556-559. https://doi.org/10.14419/ijet.v7i4.5.21156

    Received date: 2018-10-07

    Accepted date: 2018-10-07

    Published date: 2018-09-22