MetaSoil: Passive mmWave Metamaterial Multi-layer Soil Moisture Sensing DOI Creative Commons
Baicheng Chen, John Nolan, Xinyu Zhang

et al.

Published: Nov. 4, 2024

Soil moisture level sensing is essential for enabling smart irrigation, which crucial our food security and sustainable agriculture. Existing soil systems face limitations such as single-layer sensing, limited depth, power supply reliance, complex calibration. In addition, costly cumbersome sensor unit design hinders mass dense deployment of passive intelligence. This paper introduces MetaSoil, a system that calibration-free, continuous, multi-layered, leveraging 3D printable mmWave metamaterial. When changes, hydrogel patched polylactic acid (PLA) metamaterial alters resonant frequency in the impinging signals due to impedance match offset. Our eliminates in-soil dependencies by utilizing RF resonance 3D-printed metamaterial, allowing deeper placement, simultaneous multi-layer sensing. We then integrate commercial-off-the-shelf (COTS) radar query sensor. With MetaSoil's fully pole, signal from far redirected towards unit, bypassing soil's heavy attenuation effect. Through extensive evaluation, MetaSoil achieves 98.9 % accuracy with ±10% precision single-layered at depth 1m meter. It 98.8 double layered same 10cm spacing. further examine robustness real-world requirements. Overall, represents low-cost, durable, easily deployable solution supports remote continuous monitoring, advancing scalability effectiveness agricultural practices.

Language: Английский

Satellite-Based Soil Moisture Estimation and Evaluation of Agricultural Drought Risk in the Tana Sub-Basin, Upper Blue Nile River Basin, Ethiopia DOI

Habtamu Abay Eshetie,

Dejena Sahlu,

Tena Alamirew Agumasie

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Langzeitbeobachtungen des Bodenwasserhaushalts in Österreich und ihr Wert in Gegenwart und Zukunft DOI
Thomas Weninger,

Verena Jagersberger,

Valentina Pelzmann

et al.

Österreichische Wasser- und Abfallwirtschaft, Journal Year: 2025, Volume and Issue: unknown

Published: March 17, 2025

Citations

0
Wearable Standalone Sensing Systems for Smart Agriculture DOI Creative Commons
Dongpil Kim, Mohammad Zarei, Siyoung Lee

et al.

Advanced Science, Journal Year: 2025, Volume and Issue: unknown

Published: March 24, 2025

Abstract Monitoring crops’ biotic and abiotic responses through sensors is crucial for conserving resources maintaining crop production. Existing often have technical limitations, measuring only specific parameters with limited reliability spatial or temporal resolution. Wearable sensing systems are emerging as viable alternatives plant health monitoring. These employ flexible materials attached to the body detect nonchemical (mechanical optical) chemical parameters, including transpiration, growth, volatile organic compounds, alongside microclimate factors like surface temperature humidity. In smart farming, data from real‐time monitoring using these sensors, integrated Internet of Things technologies, can enhance production efficiency by supporting growth environment optimization pest disease management. This study examines core components wearable standalone systems, such circuits, power sources, reviews their targets operational principles. It further discusses physiology metabolite monitoring, affordability, machine learning techniques analyzing multimodal sensor data. By summarizing aspects, this aims advance understanding development sustainable agriculture.

Language: Английский

Citations

0
Calibration of Low-Cost Moisture Sensors in a Biochar-Amended Sandy Loam Soil with Different Salinity Levels DOI Creative Commons
María José Gómez-Astorga, Karolina Villagra-Mendoza, Federico Masís-Meléndez

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(18), P. 5958 - 5958

Published: Sept. 13, 2024

With the increasing focus on irrigation management, it is crucial to consider cost-effective alternatives for soil water monitoring, such as multi-point monitoring with low-cost moisture sensors. This study assesses accuracy and functionality of sensors in a sandy loam (SL) amended biochar at rates 15.6 31.2 tons/ha by calibrating presence two nitrogen (N) potassium (K) commercial fertilizers three salinity levels (non/slightly/moderately) six contents. Sensors were calibrated across nine SL-soil combinations N K fertilizers, counting 21 treatments. The best fit content calibration was obtained using polynomial equations, demonstrating reliability R2 values greater than 0.98 each case. After second calibration, provide acceptable results concerning previous especially non- slightly saline treatments lower 0.17 cm

Language: Английский

Citations

2
MetaSoil: Passive mmWave Metamaterial Multi-layer Soil Moisture Sensing DOI Creative Commons
Baicheng Chen, John Nolan, Xinyu Zhang

et al.

Published: Nov. 4, 2024

Soil moisture level sensing is essential for enabling smart irrigation, which crucial our food security and sustainable agriculture. Existing soil systems face limitations such as single-layer sensing, limited depth, power supply reliance, complex calibration. In addition, costly cumbersome sensor unit design hinders mass dense deployment of passive intelligence. This paper introduces MetaSoil, a system that calibration-free, continuous, multi-layered, leveraging 3D printable mmWave metamaterial. When changes, hydrogel patched polylactic acid (PLA) metamaterial alters resonant frequency in the impinging signals due to impedance match offset. Our eliminates in-soil dependencies by utilizing RF resonance 3D-printed metamaterial, allowing deeper placement, simultaneous multi-layer sensing. We then integrate commercial-off-the-shelf (COTS) radar query sensor. With MetaSoil's fully pole, signal from far redirected towards unit, bypassing soil's heavy attenuation effect. Through extensive evaluation, MetaSoil achieves 98.9 % accuracy with ±10% precision single-layered at depth 1m meter. It 98.8 double layered same 10cm spacing. further examine robustness real-world requirements. Overall, represents low-cost, durable, easily deployable solution supports remote continuous monitoring, advancing scalability effectiveness agricultural practices.

Language: Английский

Citations

0