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An Embedded Microcontroller for Plant Condition Monitoring Using Wireless Sensor Network (WSN)

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Innovations in Signal Processing and Embedded Systems

Part of the book series: Algorithms for Intelligent Systems ((AIS))

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Abstract

Wireless sensor networks developments may be classified into many application areas, including building monitoring, agriculture monitoring, and more recently, autonomous vehicle use. In various applications, WSNs have, for example, been utilized in surroundings surveillance, traffic control, building energy management as well as another beneficial application. In order to provide optimum accuracy and rapid data transfer, sensor panels have been enhanced and turned. This project had been increasingly interested in the development and uses of WSNs and IoT. There has been a development of agriculture inside the manner that smart technologies are applied in nations. Raspberry Pi is used in this paper is to monitoring and controlling of plant condition. The main aim of this device is to protect the plant. The device uses the WSNs, and Raspberry Pi is used to interface and store the data in server. In this paper, we are using Raspberry Pi, sensor boards, PCF8591, light, and motor. These sensor boards and Raspberry Pi interfaces and process the data to PCF8591 send the data digitally. After interfacing with all the modules and output will be displayed on laptop.

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References

  1. M. Sibiya, M. Sumbwanyambe, An embedded fuzzy logic microcontroller for plant condition monitoring: a wireless sensor network odyssey, in 2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA) (2019), pp. 565–569. https://doi.org/10.1109/RoboMech.2019.8704748

  2. M. Kochlan, M. Hodon, L. Cechovic, J. Kapitulik, M. Jurecka, WSN for traffic monitoring using Raspberry Pi board, in 2014 Federated Conference on Computer Science and Information Systems (FedCSIS), 7–10 Sept 2014, pp. 1023–1026. C. Pfister, Getting Started with the Internet of Things (O’Reilly Media Inc., Sebastopol, CA, 2011)

    Google Scholar 

  3. L. Ryzhyk, The ARM Architecture, July 2006

    Google Scholar 

  4. D. Abbott, Linux for Embedded and Real-Time Applications (Newnes, 2003)

    Google Scholar 

  5. N. Fahmi, S. Huda, A. Sudarsono, M.U.H. Al Rasyid, Fuzzy logic for an implementation environment health monitoring system based on wireless sensor network. J. Telecommun. Electron. Comput. Eng. (JTEC) 9(2–4), 119–122 (2017)

    Google Scholar 

  6. Ahmad, S.E. Shariffudin, A.F. Ramli, S.M.M. Maharum, Z. Mansor, K.A. Kadir, Intelligent plant monitoring system via IoT and fuzzy system, in 2021 IEEE 7th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA) (2021), pp. 123–127. https://doi.org/10.1109/ICSIMA50015.2021.9526312

  7. K. Kau, Efficient hierarchical clustering algorithm for wireless sensor science (2017)

    Google Scholar 

  8. P. Julián-Iranzo, J. Log. Algebraic Methods Program. 93, 42–67 (2017)

    Google Scholar 

  9. Transp. Ecol. Indic. 71, 503–513 (2016)

    Google Scholar 

  10. Adv. Mater. Res. 978, 248–251 (2014)

    Google Scholar 

  11. S.N. Singh, R. Jha, M.Kr. Nandwana, Optimal design of solar powered fuzzy control irrigation system for cultivation of green vegetable plants in rural India, in 2012 1st International Conference on Recent Advances in Information Technology (RAIT) (IEEE, 2012), pp. 877–882

    Google Scholar 

  12. J.-S. Lee, W.-L. Cheng, Fuzzy-logic-based clustering approach for wireless sensor networks using energy predication. IEEE Sens. J. 12(9), 2891–2897 (2012)

    Article  Google Scholar 

  13. H. Taheri, P. Neamatollahi, O.M. Younis, S. Naghibzadeh, M.H. Yaghmaee, An energy-aware distributed clustering protocol in wireless sensor networks using fuzzy logic. Ad Hoc Netw. 10(7), 1469–1481 (2012)

    Google Scholar 

  14. G. Ran, H. Zhang, S. Gong, Wireless sensor networks using fuzzy logic. J. Inf. Comput. Sci. 7(3), 767–775 (2010)

    Google Scholar 

  15. I. Gupta, D. Riordan, S. Sampalli, Cluster-head election using fuzzy logic for wireless sensor networks, in Proceedings of the 3rd Annual on Communication Networks and Services Research Conference, 2005 (IEEE, 2005), pp. 255–260

    Google Scholar 

  16. X.G. Wang, W. Liu, L. Gu, C.J. Sun, C.E. Gu, C.W. de Silva, Development of an intelligent control system for wood drying processes, in 2001 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2001. Proceedings, vol. 1 (IEEE, 2001), pp. 371–376

    Google Scholar 

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Correspondence to I. Kavitha .

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Rajunaik, M., Kavitha, I., Sridhar, B. (2023). An Embedded Microcontroller for Plant Condition Monitoring Using Wireless Sensor Network (WSN). In: Mandal, J.K., Hinchey, M., Rao, K.S. (eds) Innovations in Signal Processing and Embedded Systems. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-1669-4_31

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  • DOI: https://doi.org/10.1007/978-981-19-1669-4_31

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-1668-7

  • Online ISBN: 978-981-19-1669-4

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