Estimating Vegetation Water Content with Wireless Sensor Network Communication Signals

Giacomin, João Carlos; Vasconcelos, F.H.; Silva, Élson J.

doi:10.1109/imtc.2007.379418

Cited by 9 publications

(8 citation statements)

References 13 publications

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“…A WSN was implemented to estimate the amount of water in the crop from the observed signal attenuation [10]. The nodes are deployed with the objective of collecting the signal.…”

Section: Wireless Sensor Network and Agriculturementioning

confidence: 99%

Propagation Analysis for Wireless Sensor Networks Applied to Viticulture

Correia

Alencar

Lopes

et al. 2017

International Journal of Antennas and Propagation

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Wireless sensor networks have been proposed as a solution to obtain soil and environment information in large distributed areas. The main economic activity of the São Francisco Valley region in the Northeast of Brazil is the irrigated fruit production. The region is one of the major agricultural regions of the country. Grape plantations receive large investments and provide good financial return. However, the region still lacks electronic sensing systems to extract adequate information from plantations. Considering these facts, this paper presents a study of path loss in grape plantations for a 2.4 GHz operating frequency. In order to determine the position of the sensor nodes, the research dealt with various environmental factors that influence the intensity of the received signal. It has been noticed that main plantation aisles favor the guided propagation, and the vegetation along the secondary plantation aisles compromises the propagation. Diffraction over the grape trees is the main propagation mechanism in the diagonal propagation path. Transmission carried out above the vineyard showed that reflection on the top of the trees is the main mechanism.

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“…A WSN was implemented to estimate the amount of water in the crop from the observed signal attenuation [10]. The nodes are deployed with the objective of collecting the signal.…”

Section: Wireless Sensor Network and Agriculturementioning

confidence: 99%

Propagation Analysis for Wireless Sensor Networks Applied to Viticulture

Correia

Alencar

Lopes

et al. 2017

International Journal of Antennas and Propagation

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“…These PE value are in-line with measurements made by [20], albeit, measurement settings were different than ours. Apart from doing RSS experiments, we made an attempt to estimate vegetation water content [13] in Mango and Guava plantation environment based on the fact that vegetation causes attenuation in RF signals because of the water content [21,22,23], which is very important for better plantation management if it is integrated with decision support system that aids management of resources for agriculture. RSS of transmitted signals passing through the mango & guava plantations will be measured without the use of extra sensors.…”

Section: A Measurement Detailsmentioning

confidence: 99%

“…Extensive work has been performed on the subject of radio wave propagation in forest environments [3 -12] by the researchers over the years. And, recently researchers are focusing on estimating vegetation water content [13] for short range communications such as WSN's. In view of these developments, in order to characterize near ground radio link channels for WSNs in environments like forest, mango & guava plantations, Radio Frequency (RF) propagation experiments done at 868/915/2400 MHz with Omnidirectional antennas utilizing Vector Signal Generator (Agilent N5182A) as Transmitter (Tx) and Vector Signal Analyser (Agilent N9010A) as Receiver (Rx).…”

Section: Introductionmentioning

confidence: 99%

“…Received Signal Strength (RSS) values were observed at various locations in forest and mango/guava plantations and converted into path loss values and compared with ITU-R [14], Weissberger [15,16] and COST 235 [17] vegetation loss prediction models using Matlab simulations. Further, an attempt is made to deduce the vegetation water content [13] from our measured RSS values from Mango & Guava plantations. Thus, this paper characterizes short-range radio frequency (RF) link propagation in vegetation environments.…”

Section: Introductionmentioning

confidence: 99%

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RF propagation measurements in forest & plantation environments for Wireless Sensor Networks

Rao

Balachander

Kiran

et al. 2012

2012 International Conference on Recent Trends in Information Technology

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This work reports Received Signal Strength (RSS) at 868/915/2400 MHz utilizing RF equipment and Matlab simulations in Forest and Plantation (Mango & Guava) Environments. Path loss, Vegetation water content and corresponding Cumulative Distribution Function (CDF) values were deduced from the measured RSS from various positions in foliage environments using unit gain omnidirectional antennas at 1m height from the ground. Empirical foliage loss prediction models such as Cost 235, ITU-R and Weissberger models were compared with the experimental results. The research work presented in this paper is predominately targets characterizing short-range near ground radio link for Wireless Sensor Communications/Networks in vegetation environments.

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“…Both experiments are examined later in this document. Giacomin et al 2007, also investigates the attenuation of RF signals through corn.…”

Section: Inexpensive Rf Modules As Sensorsmentioning

confidence: 99%

Radio in hydroscience

Niemeier¹

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One can use unlicensed and often very inexpensive radios for unconventional communication (underwater-and underground) links. However, one can go further, and use these radios as sensors rather than communication links. Such communication links and sensors can have important application in hydroscience. While the attenuation of RF signals is high in these mediums, by using the wireless sensor network (WSN) paradigm of multi-hop and retransmission, reliable networks can be formed underwater and underground. One no longer needs to think of RF modules as only a source of data transmission. This revelation lends itself to thinking of these modules as inexpensive RF wave generators at prescribed unlicensed frequencies. Analyzing the received signal strength indicator (RSSI) of a link over time, one can infer changes in the medium from the changes in RSSI. In this thesis, I develop a simple mathematical model to relate changes in RSSI to changes in the medium. Additionally, five experimentally validated examples demonstrate the possibility of non-traditional uses for RF modules. Demonstrated sensor possibilities include soil moisture estimation, leaf wetness measurement, and vegetation water content estimation. This thesis served to validate the use of inexpensive unlicensed RF modules as more than just communication links through air, but as links in unconventional media, and more importantly as measurement instruments.

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Estimating Vegetation Water Content with Wireless Sensor Network Communication Signals

Cited by 9 publications

References 13 publications

Propagation Analysis for Wireless Sensor Networks Applied to Viticulture

Propagation Analysis for Wireless Sensor Networks Applied to Viticulture

RF propagation measurements in forest & plantation environments for Wireless Sensor Networks

Radio in hydroscience

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Estimating Vegetation Water Content with Wireless Sensor Network Communication Signals

Cited by 9 publications

References 13 publications

Propagation Analysis for Wireless Sensor Networks Applied to Viticulture

Propagation Analysis for Wireless Sensor Networks Applied to Viticulture

RF propagation measurements in forest &amp; plantation environments for Wireless Sensor Networks

Radio in hydroscience

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RF propagation measurements in forest & plantation environments for Wireless Sensor Networks