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Bayesian inference and Internet of Things based plant health care

    Author

    • Asha G Hagargund

    Department of Electronics and Communication B.M.S. Institute of Technology and Management Bangalore, India

,

Document Type : Research Article

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Abstract

Advancements in the Internet of things (IoT) enable us to monitor and maintain a variety of devices in various sectors. Based on the literature available, we have found that there are umpteen IoT based methods proposed for plant health care involving hardware interfacing like sensors, micro-controllers, and cameras. The existing solutions also make use of mobile applications, webservers, data-base for processing of information. This paper presents a novel and simple costeffective Bayesian theorem based plant-health-care using sensors interfaced with raspberry pi. Our solution also provides users to watch and water the plant remotely, using a smart-phone via webserver. We have considered rose plant’s favourable environmental factors for maintaining its health.

Keywords

  • IoT
  • Bayesian theorem
  • Data-base
  • Web-server
  • Sensors
  • Raspberry Pi
  • Shell-script
  • CLanguage
  • XML
  • PDF 378.3 K
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    • Article View: 284
    • PDF Download: 527
European Journal of Molecular & Clinical Medicine
Volume 8, Issue 3
February 2021
Page 293-302
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  • Article View: 284
  • PDF Download: 527

APA

Hagargund, A. G. (2021). Bayesian inference and Internet of Things based plant health care. European Journal of Molecular & Clinical Medicine, 8(3), 293-302.

MLA

Asha G Hagargund. "Bayesian inference and Internet of Things based plant health care". European Journal of Molecular & Clinical Medicine, 8, 3, 2021, 293-302.

HARVARD

Hagargund, A. G. (2021). 'Bayesian inference and Internet of Things based plant health care', European Journal of Molecular & Clinical Medicine, 8(3), pp. 293-302.

VANCOUVER

Hagargund, A. G. Bayesian inference and Internet of Things based plant health care. European Journal of Molecular & Clinical Medicine, 2021; 8(3): 293-302.

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