Design and development of an IoT-enabled sensor node for agricultural and modelling applications

Brady Shearan*, Fowzia Akhter, S. C. Mukhopadhyay

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

Abstract

Australia in a country that is subject to a very unique climate and water is one of its most precious resources. A greater understanding of the quantity, movement and efficient usage of water is critical in allowing Australia to develop into the long-term future. Currently there is a large gap in knowledge regarding the uncertainties in quantities of water throughout Australia, and this has major impacts upon agricultural water restrictions and usages. There is a large movement of Agriculture 4.0 within Australia, using minimums amounts of water and target specific areas. This is being led by the introduction of low-cost sensors and advancements in sensor technologies. An IoT-Enabled sensor node for use within agricultural monitoring and modelling has been developed throughout this research. The sensor node includes ambient temperature and humidity conditions, soil temperature and moisture alongside rainfall conditions. The sensor data is transmitted to ThingSpeak via the Long-Range Wide Area Network (LoRaWAN) communication protocol. The system is powered through a solar panel connected to a 6000 mAh rechargeable battery to maintain continued data collection over extended periods of time. The developed system has seen deployment and offers a low-cost solution to real-time agricultural monitoring to increase the temporal and spatial resolution of the data that is currently available.

Original languageEnglish
Title of host publicationSensing technology
Subtitle of host publicationproceedings of ICST 2022
EditorsNagender Kumar Suryadevara, Boby George, Krishanthi P. Jayasundera, Joyanta Kumar Roy, Subhas Chandra Mukhopadhyay
Place of PublicationCham, Switzerland
PublisherSpringer, Springer Nature
Pages217-229
Number of pages13
ISBN (Electronic)9783030988869
ISBN (Print)9783030988852
DOIs
Publication statusPublished - 2022
EventInternational Conference on Sensing Technology (14th : ICST 2022) - Indian Institute of Technology Madras, Chennai, India
Duration: 16 Jan 202218 Jan 2022
Conference number: 14th

Publication series

NameLecture Notes in Electrical Engineering
PublisherSpringer
Volume886
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Sensing Technology (14th : ICST 2022)
Abbreviated titleICST 2022
Country/TerritoryIndia
CityChennai
Period16/01/2218/01/22

Keywords

  • Environmental monitoring
  • Smart city
  • Internet of things
  • Soil moisture
  • Soil model

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