TY - GEN
T1 - Smart Soil Monitoring
T2 - 7th International Conference on Signal Processing and Information Security, ICSPIS 2024
AU - Manzil, Irfana Ilyas Jameela
AU - Aldhaheri, Lameya
AU - Alshehhi, Noor
AU - Saeed, Nasir
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - This paper explores the potential of LoRa-based wireless underground IoT systems to enhance smart agriculture applications, with a specific focus on underground-to-aboveground communication. The system features an underground node equipped with oxygen sensors connected to an aboveground node via a LoRa-enabled network. Laboratory tests were conducted to assess the impact of burial depth and internode distance on signal strength and reliability. The results show that both the Received Signal Strength Indicator (RSSI) and Signal-to-Noise Ratio (SNR) degrade as burial depth and internode distance increase. Despite signal attenuation, LoRa's modulation scheme ensured reliable data transmission, achieving a 99.8% of Packet Delivery Ratio (PDR). These findings confirm the viability of LoRa-based networks for underground-to-aboveground communication in shallow underground environments, offering significant potential for advancing urban farming through efficient, low-power wireless IoT systems.
AB - This paper explores the potential of LoRa-based wireless underground IoT systems to enhance smart agriculture applications, with a specific focus on underground-to-aboveground communication. The system features an underground node equipped with oxygen sensors connected to an aboveground node via a LoRa-enabled network. Laboratory tests were conducted to assess the impact of burial depth and internode distance on signal strength and reliability. The results show that both the Received Signal Strength Indicator (RSSI) and Signal-to-Noise Ratio (SNR) degrade as burial depth and internode distance increase. Despite signal attenuation, LoRa's modulation scheme ensured reliable data transmission, achieving a 99.8% of Packet Delivery Ratio (PDR). These findings confirm the viability of LoRa-based networks for underground-to-aboveground communication in shallow underground environments, offering significant potential for advancing urban farming through efficient, low-power wireless IoT systems.
KW - LoRa
KW - smart agriculture
KW - Underground IoT
KW - Underground-to-Aboveground (UG2AG)
UR - http://www.scopus.com/inward/record.url?scp=85216609283&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85216609283&partnerID=8YFLogxK
U2 - 10.1109/ICSPIS63676.2024.10812616
DO - 10.1109/ICSPIS63676.2024.10812616
M3 - Conference contribution
AN - SCOPUS:85216609283
T3 - 2024 7th International Conference on Signal Processing and Information Security, ICSPIS 2024
BT - 2024 7th International Conference on Signal Processing and Information Security, ICSPIS 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 12 November 2024 through 14 November 2024
ER -