TY - JOUR
T1 - Internet of Trees (IoTr) Implemented by Highly Dispersive Electromagnetic Sensors
AU - Ramzan, Muhammad Rashad
AU - Omar, Muhammad
AU - Siddiqui, Omar Farooq
AU - Ksiksi, Taoufik Saleh
AU - Bastaki, Nabil
N1 - Funding Information:
Manuscript received July 1, 2020; accepted July 30, 2020. Date of publication August 5, 2020; date of current version December 4, 2020. This work was supported in part by the United Arab Emirates University (UAEU), Al Ain, and in part by the National Water Center, UAEU under Grant 31R111. The associate editor coordinating the review of this article and approving it for publication was Dr. Jürgen Kosel. (Corresponding author: Rashad Ramzan.) Rashad Ramzan and Muhammad Omar are with the Electrical Engineering Department, National University of Computer and Emerging Sciences, Islamabad 44000, Pakistan (e-mail: rashad.ramzan@nu.edu.pk; muhammad.omar@nu.edu.pk).
Publisher Copyright:
© 2001-2012 IEEE.
PY - 2021/1/1
Y1 - 2021/1/1
N2 - The water intake is intimately related to the plantation growth and the resulting production quality. The monitoring and regulation of the water content allows the city governments and municipalities to optimally design the watering schemes leading to healthy plantations and saving of irrigation water in dramatic amounts. The proposed moisture assessment system is based upon a network of highly sensitive electromagnetic sensors that work on the concept of spectral dispersion. The high sensitivity of the dispersion-based sensors comes from its narrowband magnitude or phase spectral signature at resonance. The minimal change in the moisture content of a sample placed in the sensor's cavity is sensed by the resonance shift of this signature. When these sensors are connected in network configuration, the watering process of the whole plantation can be optimized cohesively. The concept of 'Internet of Trees (IoTr)' is particularly useful in the communities where water is found in scarcity such as the Gulf countries. In this article, we experimentally demonstrate the concept using a two-node passive prototype in the 4-6 GHz range by establishing relation between leaf moisture content and resonant frequency of the dispersive sensor. On the system level, we propose implementation of a representative network system based on LoRa protocol. The proposed sensor network is low-cost, self-calibrated and can derives its power from energy harvesting, through a solar.
AB - The water intake is intimately related to the plantation growth and the resulting production quality. The monitoring and regulation of the water content allows the city governments and municipalities to optimally design the watering schemes leading to healthy plantations and saving of irrigation water in dramatic amounts. The proposed moisture assessment system is based upon a network of highly sensitive electromagnetic sensors that work on the concept of spectral dispersion. The high sensitivity of the dispersion-based sensors comes from its narrowband magnitude or phase spectral signature at resonance. The minimal change in the moisture content of a sample placed in the sensor's cavity is sensed by the resonance shift of this signature. When these sensors are connected in network configuration, the watering process of the whole plantation can be optimized cohesively. The concept of 'Internet of Trees (IoTr)' is particularly useful in the communities where water is found in scarcity such as the Gulf countries. In this article, we experimentally demonstrate the concept using a two-node passive prototype in the 4-6 GHz range by establishing relation between leaf moisture content and resonant frequency of the dispersive sensor. On the system level, we propose implementation of a representative network system based on LoRa protocol. The proposed sensor network is low-cost, self-calibrated and can derives its power from energy harvesting, through a solar.
KW - anomalous phase sensing
KW - dispersion-based sensors
KW - Internet of Things
KW - Internet of Trees
KW - leaf dielectric
KW - moisture sensing
KW - Plant water estimation
KW - smart irrigation
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U2 - 10.1109/JSEN.2020.3014387
DO - 10.1109/JSEN.2020.3014387
M3 - Article
AN - SCOPUS:85097759490
SN - 1530-437X
VL - 21
SP - 642
EP - 650
JO - IEEE Sensors Journal
JF - IEEE Sensors Journal
IS - 1
M1 - 9159629
ER -