Rice-Blast Disease Monitoring Using Mobile App

  • Authors

    • S Ramesh
    • D Vydeki
    2018-07-04
    https://doi.org/10.14419/ijet.v7i3.6.16011
  • Agriculture, rice disease detection, raspberry pi, sensor and IoT (internet of things).

  • Abstract

    This research paper focuses on implementation of image analysis algorithms on captured images for the purpose of detecting crop diseases and monitored through Mobile App. The purpose of this research is to find out the diseases in early stage, and reduce the yield loss. The system design includes sensors, controller, image analysis algorithm, Cloud storage and mobile app. Using the USB camera, images in the farm are captured and processed by controller module. This is sent to the cloud, which can be accessed by mobile App or remote user. Various image processing algorithms were used to process the images. The results are presented in this paper.

     

     

  • References

    1. [1] https://india.gov.in/topics/agriculture

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      [4] Devi DA & Muthukannan K, “Analysis of segmentation scheme for diseased rice leavesâ€, IEEE International Conference on Advanced Communications, Control and Computing Technologies, (2014), pp.1374-1378.

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      [6] Rani PMN, Rajesh T & Saravana R, “Development of expert system to diagnose rice diseases in Meghalaya stateâ€, Fifth International Conference on Advanced Computing, Chennai, (2013), pp. 8-14.

      [7] Sreekantha DK & Kavya AM, “Agricultural crop monitoring using IOT-A Studyâ€, 11th International Conference on Intelligent Systems and Control (ISCO), (2017), pp.134-139.

      [8] Gayatri MK, “Providing Smart Agricultural Solutions to Farmers for better yielding using IoT,†IEEE International Conference on Technological Innovations in ICT for Agriculture and Rural Development, (2015).

      [9] https://www.raspberrypi.org/documentation/usage/python/

      [10] https://www.ibm.com/cloud-computing/learn-more/what-is-cloud-computing/

      [11] http://wso2.com/whitepapers/a-reference-architecture-for-the-internet-of-things/

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  • How to Cite

    Ramesh, S., & Vydeki, D. (2018). Rice-Blast Disease Monitoring Using Mobile App. International Journal of Engineering & Technology, 7(3.6), 400-402. https://doi.org/10.14419/ijet.v7i3.6.16011

    Received date: 2018-07-22

    Accepted date: 2018-07-22

    Published date: 2018-07-04