Preprint has been submitted for publication in journal
Preprint / Version 1

LoRa Based Inventive Agriculture System

Authors

  • Divya Kaviya Department of Electrical and Electronics Engineering, Vivekanandha College of Engineering for Women
  • P. Kaviya Department of Electrical and Electronics Engineering, Vivekanandha College of Engineering for Women
  • M Murugapriya Department of Electrical and Electronics Engineering, Vivekanandha College of Engineering for Women
  • P Hemadeepika Department of Electrical and Electronics Engineering, Vivekanandha College of Engineering for Women
  • K Thenmalar Department of Electrical and Electronics Engineering, Vivekanandha College of Engineering for Women

Abstract

In order to reduce labor cost and improve the collection efficiency for various growth parameters in traditional agricultural greenhouse environmental crops. And found solution for problem using zigbee technology for communication which causes short transmission distance and makes changes in interference levels. This paper conflates normally used Long Range (LoRa) wireless network technology to make new inventive agriculture system. In this system, LoRa communication module works for communication purpose, and also widely used STM32F103 development board is a controller for all the sensors and execution purpose. The Qt developed host computer program to receive the data information and display them and process them. This module works on timely monitoring and decision-making on greenhouse agriculture.

Downloads

Download data is not yet available.

Posted

2020-02-29

Section

Under Review

License

Copyright (c) 2020 P. Kaviya, Divya Kaviya, M Murugapriya, P Hemadeepika, K Thenmalar

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Any non-commercial use, distribution, adaptation, and reproduction in any medium is permitted as long as the original work is properly cited. However, caution and responsibility are required when reusing as the articles on the preprint server are not peer-reviewed. Readers are advised to check for the availability of any updated or peer-reviewed version.