Novel approach using passive UHF RFID for grain moisture detection

Ainaa Syamim Mohd Radzi, Latifah Munirah Kamarudin*, Latifah Mohamed, Ammar Zakaria, Mohd Hafiz Fazalul Rahiman, Syed Muhammad Mamduh Syed Zakaria, David Lorater Ndzi

*Corresponding author for this work

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

Abstract

This paper proposes a novel method to detect moisture hotspots and irregularities in rice grain storage using low-cost passive UHF RFID technology. Experiments were designed with a UHF RFID handheld reader to test rice moisture levels of 12%, 16%, 20% and 24%. Two containers were used in the study where Container A was filled with grains with a 12% moisture level and container B is inserted into Container A and contained 2 kg rice samples of varying moisture contents. The RFID reader was positioned outside the container to measure the received signal strength indicator (RSSI) from the RFID tags placed within the containers. The attenuation of the signal is analyzed to obtain a correlation between moisture content (MC) and RSSI values. Results show a positive correlation between the RSSI and MC of rice which can be used to identify inconsistencies in moisture distribution in stored grain. An empirical model has been proposed which can be used to estimate RSSI values given the moisture content or vice versa for RFID operating at 915 MHz.

Original languageEnglish
Title of host publicationControl, Instrumentation and Mechatronics
Subtitle of host publicationTheory and Practice
EditorsNorhaliza Abdul Wahab, Zaharuddin Mohamed
Place of PublicationSingapore
PublisherSpringer Singapore
Pages650-661
Number of pages12
ISBN (Electronic)9789811939235
ISBN (Print)9789811939228
DOIs
Publication statusPublished - 7 Jul 2022
Event3rd International Conference on Control, Instrumentation and Mechatronics Engineering, CIM 2022 - Virtual, Online
Duration: 2 Mar 20223 Mar 2022

Publication series

NameLecture Notes in Electrical Engineering
PublisherSpringer
Volume921
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference3rd International Conference on Control, Instrumentation and Mechatronics Engineering, CIM 2022
CityVirtual, Online
Period2/03/223/03/22

Keywords

  • moisture content (MC)
  • rice
  • RSSI
  • UHF RFID tag

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