Smart Plants Monitoring System

Authors

  • Jayshri Suryawanshi  IT, Vidyalankar Institute of Technology, Mumbai, Maharashtra, India
  • Tejal Vidhate  IT, Vidyalankar Institute of Technology, Mumbai, Maharashtra, India
  • Anagha Ambhore  IT, Vidyalankar Institute of Technology, Mumbai, Maharashtra, India

Keywords:

Sensors , Internet Of Things(IOT) , Blynk Server

Abstract

A framework that can gather the data identified with greenhouse environment and yield status and monitor the system automatically in view of the gathered data. By throatily observing periodic conditions, this study has the reason for securing connection between sensors. Blynk Server will give information of ongoing situation. Through long time running and functional utilizing ,the framework has been demonstrated that it has numerous points of interest. To monitor the environment inside greenhouse different parameters have been considered such as light ,humidity. Using different sensors like humidity sensor , LDR ,which will be interfaced with microcontroller,. It is a closed loop System that will execute control action to adjust humidity , light intensity if any unwanted errors (high/low) occur notification will be send to the server.

References

  1. Jaypal Baviskar,Afshan Mulla, Amol Baviskar, Shweta Ashtekar and Amruta Chintawa. Real Time Monitoring and Control System for Green House Based on 802.15.4 Wireless Sensor Network,2014
  2. Rajalakshmi.P ,Mrs.S.Devi Mahalakshmi .IOT based crop-field monitoring and irrigation automation,2016.
  3. LI Xiaofeng, QIN Linlin , LU Linjian, WU Gang . Design and implementation of modern greenhouse remote monitoring system based on the Android system,2015.
  4. Teemu Ahonen, Reino Virrankoski and Mohammed ElmusratiGreenhouse Monitoring with Wireless Sensor Network,2008.
  5. http://www.gpnmag.com/article/greenhouse-light/
  6. http://www.ag.auburn.edu/landscape/lightintensityquality.html
  7. http://www.electronics-tutorials.ws/io/io_4.html

Downloads

Published

2018-04-30

Issue

Section

Research Articles

How to Cite

[1]
Jayshri Suryawanshi, Tejal Vidhate, Anagha Ambhore, " Smart Plants Monitoring System, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.1074-1076, March-April-2018.