Pest identification in sugarcane crop using acoustic sensor

  • Authors

    • P. Durgaprasadarao V.R.SIDDHARTHA ENGINEERING COLLEGE,VIJAYAWADA,AP,INDIA
    • M. Srinivas V.R.SIDDHARTHA ENGINEERING COLLEGE,VIJAYAWADA,AP,INDIA
    2019-02-26
    https://doi.org/10.14419/ijet.v7i4.23133
  • Acoustic Sensor, MQ2 Sensor, Aurdino Nano, ESP 8266.

  • Abstract

    In the existing system, the disease in sugarcane crop is found manually. So there are more chances for loses to the farmers. Now a day’s agriculture growth is reducing because of more pollution and pest in the environment. In India most of the farmers grow sugarcane but are not getting good yields due to bugs and larvae in sugarcane. To avoid this situation, the proposed design has been developed with acoustic sensor and MQ2 sensor. In this proposed design system used aurdino for monitoring the noise and ammonium gas. So finding the problem can be simplified and can be solved easily.

     

     

  • References

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  • How to Cite

    Durgaprasadarao, P., & Srinivas, M. (2019). Pest identification in sugarcane crop using acoustic sensor. International Journal of Engineering & Technology, 7(4), 4833-4835. https://doi.org/10.14419/ijet.v7i4.23133

    Received date: 2018-12-04

    Accepted date: 2019-01-18

    Published date: 2019-02-26