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Design and implementation of iot-enabled compost monitoring system

  • Swinburne University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

22 Citations (Scopus)

Abstract

Precision agriculture has seen growing adoption by farmers as it offers great benefits in terms of productivity, traceability and efficient operation. The areas of application include crop management, livestock management as well as other agricultural product management. This paper presents the development and implementation of compost monitoring system that is enabled by Internet-of-Things (IoT) technologies. This system is designed to be deployed in an organic farm in Serian district, Sarawak, Malaysia. The design of the system setup considers the field conditions at the farm. The two-level (sensor node and gateway) approach in developing the system, combined with the use of LoRa communication and MiFi device permits users to monitor the compost parameters remotely. The experimental results are presented.

Original languageEnglish
Title of host publicationISCAIE 2019 - 2019 IEEE Symposium on Computer Applications and Industrial Electronics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages23-28
Number of pages6
ISBN (Electronic)9781538685464
DOIs
Publication statusPublished - Apr 2019
Externally publishedYes
Event9th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2019 - Kota Kinabalu, Malaysia
Duration: 27 Apr 2019 → 28 Apr 2019

Publication series

NameISCAIE 2019 - 2019 IEEE Symposium on Computer Applications and Industrial Electronics

Conference

Conference9th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2019
Country/TerritoryMalaysia
CityKota Kinabalu
Period27/04/19 → 28/04/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger

Keywords

  • Compost Monitoring
  • Internet-of-Things
  • LoRa Communication
  • Wireless Sensor Node

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