A Modernized IoT Enabled Smart Farming Using LoRa WAN Techniques

Authors

  • A. Sriram  UG scholar, Department of Computer Science and Engineering, Agni College of Technology, Chennai, Tamilnadu, India
  • M. Tharun  UG scholar, Department of Computer Science and Engineering, Agni College of Technology, Chennai, Tamilnadu, India
  • K. Venkatesh Prasad  UG scholar, Department of Computer Science and Engineering, Agni College of Technology, Chennai, Tamilnadu, India
  • M. Vengateshwaran  Assistant Professor, Department of Computer Science and Engineering, Agni College of Technology, Chennai, Tamilnadu, India

DOI:

https://doi.org//10.32628/CSEIT20621

Keywords:

IOT, Lora-WAN, Smart farming

Abstract

The Internet of Things (IoT) is growing its way in a number of application domains as its potential effects are being implemented in various scenarios. Agriculture is a domain in which IoT can prove highly beneficial by improving operational efficiency through using the resources carefully, disease monitoring, harvesting process etc. In our paper we develop a decision based support system for smart farming that exploits data from a multitude of sources that provide vital information. Specifically, we combine data from a number of sensors receive via a LoRa WAN network along weather and crop data to carry out informed decisions which at the current stage are primarily focusing on the usage of water as well as crop protection from adverse weather which is increasingly troubling farmers due to the climate changes the whole world is experiencing. In our implementation we utilize off-the-shelf hardware and industry standards demonstrating the high potential of our proposal while indicating that the technological barriers are significantly lower now a days.

References

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Published

2020-04-30

Issue

Section

Research Articles

How to Cite

[1]
A. Sriram, M. Tharun, K. Venkatesh Prasad, M. Vengateshwaran, " A Modernized IoT Enabled Smart Farming Using LoRa WAN Techniques, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 2, pp.21-25, March-April-2020. Available at doi : https://doi.org/10.32628/CSEIT20621