SENSOR BASED SMART AGRICULTURE USING IOT

Authors

  • shyam sundar S

DOI:

https://doi.org/10.20894/IJMSR.117.009.002.013

Keywords:

AVR Board, IOT, ESP8266, Sensors, Sensor Fusion, Dry-Run, Over Load.

Abstract

This paper describesthe construction and integration of multiple sensor into single board with reduced decoupling effect, relay being a part of the board while integrating noise will be produced due to heavy load consumption to prevent this I proposed using sensor fusion technology as being used for numerous applications.The proposed system is an AVR based wireless sensor node and it has the features of continuous monitoring of specified parameters with easy deployment procedures and increase the battery lifetime. In this paper IOT has been established by ESP8266 module which helps in data transmission from remote location in farm to the user. The sensor node consists of various sensors to monitor the values of soil moisture content, Rain intensity, current consumed by the motor by which calculating the dry-run condition and over load condition of the motor and it also helps in providing details of the current consumption of the motor.

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Author Biography

shyam sundar S

Dept. Electronics and communication engineering Easwari engineering college,Chennai.

References

[1]Alan S. Fung, Farah Mohammadi, and KaamranRaahemifar and RamyarRashedMohassel, „A Survey on Advanced Sensors and its Application in Agriculture, IEEE CCECE 2014.

[2]A. Antoniadis, X. Brossat, J. Cugliari, and J.-M. Poggi, „Multiple Sensor Integration with no transient error,‟ Int. J. Wavelets Multiresolution Inf. Process., vol. 11, no. 1, pp. 1–30, Jan. 2013.

[3] B. Stephen, A. Mutanen, S. Galloway, G. Burt, and P. Jarventausta, „Long Distance Sensor Data Transmission‟, IEEE Trans. Power Delivery, vol. 29, no. 1, pp. 88–96, Feb. 2014.

[4] D T Pham, S SDimov, and C D Nguyen, „Selection of K in K-means clustering‟ Mechanical Engineering Science, Proc. IMechE Volume. 219 Part C: 2005, pp. 103– 119.

[5] Duplex, J.; Gosswiller, S.; Fagnoni, S., (2013), „A better knowledge of devices using IOT applications‟, In Proceedings of the 22nd International Conference and Exhibition on Electricity Distribution (CIRED), Stockholm, Sweden, 10–13 June 2013; pp. 1–4.

[6] Engr. ManzoorEllahi, Prof.Dr.Suhail, A. Qureshi and Mustansir Iqbal, (2014), „Power Monitoring and TransmittingUsing IOT‟, International Journal of Engineering Research & Technology (IJERT), ISSN: 2278-0181, Vol. 2 Issue 12, pp.232-240.

[7] S.Venkatesulu, L.Hemasundar, M.Sreeja, K.Divya (2014), „Data Transmission and Reception using Power Line Communication‟, International Journal of Research in Advent Technology, Vol.2, No.4,pp.250-255.

[8] G.Tsekouras, N. Hatziargyriou, and E. Dialynas, “Two-stage pattern recognition of load curves for classification of electricity customers,” IEEE Trans. Power Syst., vol. 22, no. 3, pp. 1120–28, Aug. 2007.

[9] ShikhaRastogi, Manisha Sharma,PratibhaVarshney, (2016), „Internet of Things based Smart Electricity Meters‟ International Journal of Computer Applications (0975 – 8887), Vol.133, No.8, pp.13-16.

[10] R. Ma, H. H. Chen, Y. Huang, and W. Meng, (Mar. 2013) ―Smart agriculture communication: Its challenges and opportunities,IEEE Trans. Smart Grid, vol. 4, no. 1, pp. 36–46.

[11] T. Zhang, G. Zhang, J. Lu, X. Feng, and W. Yang, „A new index and classification approach for Data Transmission,‟ IEEE Trans. Power Systems, vol. 27, no. 1, pp. 153–160, Feb. 2012.

[12] Jixuan Zheng, David WenzhongGao, Li Lin, „Firmware upgrade over the air‟ 2013 IEEE Green Technologies Conference.

[13] Kwang-Soon Choi and Sukil Hong, „New Design Approaches and Implementation of Smart Agricultural System‟, IEEE ISCE 2014.

[14] Lisa Alejandro, Caitlin Blair, Laura Blood good, Mahnaz Khan, Martha Lawless, Daniel Meehan, Patrick Schneider, Karl Tsuji “GLOBAL MARKET FOR SMART AGRICULTURE: GOVERNMENT POLICIES DRIVING STRONG GROWTH” June 2014.

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Published

2017-08-26

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Section

Articles