TY - GEN
T1 - Novel approach using passive UHF RFID for grain moisture detection
AU - Radzi, Ainaa Syamim Mohd
AU - Kamarudin, Latifah Munirah
AU - Mohamed, Latifah
AU - Zakaria, Ammar
AU - Rahiman, Mohd Hafiz Fazalul
AU - Zakaria, Syed Muhammad Mamduh Syed
AU - Ndzi, David Lorater
N1 - Funding Information:
Acknowledgment. This research project is funded by the Malaysia Ministry of Education (MOE) under grant TRGS 9026–00001 (TRGS/1/2018/UNIMAP/02/4/1) titled “Determination and Characterization of Radio Frequency Signal for Moisture Sensing in Rice Grain Silos”. The authors would like to thank you Universiti Malaysia Perlis for providing technical knowhow and access to equipment for this research work.
Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2022/7/7
Y1 - 2022/7/7
N2 - 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.
AB - 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.
KW - Moisture Content (MC)
KW - Rice
KW - RSSI
KW - UHF RFID tag
UR - http://www.scopus.com/inward/record.url?scp=85135005292&partnerID=8YFLogxK
UR - https://research-portal.uws.ac.uk/en/publications/novel-approach-using-passive-uhf-rfid-for-grain-moisture-detectio
UR - https://www.cmedutm.com/cim2022/
U2 - 10.1007/978-981-19-3923-5_56
DO - 10.1007/978-981-19-3923-5_56
M3 - Conference contribution
AN - SCOPUS:85135005292
SN - 9789811939228
SN - 9789811939259
T3 - Lecture Notes in Electrical Engineering
SP - 650
EP - 661
BT - Control, Instrumentation and Mechatronics
A2 - Wahab, Norhaliza Abdul
A2 - Mohamed, Zaharuddin
PB - Springer Nature
T2 - 3rd International Conference on Control, Instrumentation and Mechatronics Engineering, CIM 2022
Y2 - 2 March 2022 through 3 March 2022
ER -