A WSN for ground-level ozone monitoring based on plant electrical activity analysis

Morosi, Simone; Dolfi, Marco; Re, E. Del; Masi, Elisa; Colzi, Ilaria; Mancuso, Stefano; Francini, F.; Magliacani, R.; Valgimigli, A.; Masini, L.

doi:10.1109/iwcmc.2015.7289171

Cited by 8 publications

(5 citation statements)

References 21 publications

(15 reference statements)

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“…These results can be contrasted with those obtained by [114]. The study used a correlation-based approach to analyze electrical signals from Ligustrum texanum and Buxus macrophilla.…”

Section: Pollution Detectionmentioning

confidence: 91%

Plant electrophysiology: bibliometric analysis, methods and applications in the monitoring of plant-environment interactions

Chaparro-Cárdenas,

Ramirez Bautista,

Gamboa Contreras

et al. 2021

DYNA

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Plants have mechanisms to perceive and transmit information between their organs and tissues to respond quickly to abiotic and biotic external stimuli from the environment, producing different electrical potential types. It is reported on the generation and conduction of electrochemical impulses within different tissues and organs of the plant, which have been acquired using different methods to use them in various applications in the improvement of the agro-industrial sector and the development of different types of phytosensors. In this review paper, the various studies that have been carried out since Pfeffer, Burdon-Sanderson, Darwin, Haberlandt, and Bose discovered electrical activity in plants until today are reported. Plants provide mechanisms to perform biosensors based on responding to environmental changes, opening a great path for the design of low-cost and highly sensitive sensors and sensor networks, the current trend is towards experimental analysis using various stimuli.

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“…These results can be contrasted with those obtained by [114]. The study used a correlation-based approach to analyze electrical signals from Ligustrum texanum and Buxus macrophilla.…”

Section: Pollution Detectionmentioning

confidence: 91%

Plant electrophysiology: bibliometric analysis, methods and applications in the monitoring of plant-environment interactions

Chaparro-Cárdenas,

Ramirez Bautista,

Gamboa Contreras

et al. 2021

DYNA

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“…The possibility of such large-scale geographical monitoring seems immense since when such electrical signals are extracted and analyzed, crucial and timely information may be found. A successful analysis of such plant electrical signals will assist the ambition of plants being used as a living, multiple stimuli environmental biosensor which are capable of generating estimates of chemical pollutants in the environment like ozone close to more expensive chemical sensors [ 70 ]. However, such a plant-based biosensor development needs to consider the electronic hardware implementation challenges.…”

Section: Conclusion and Future Scope Of Researchmentioning

confidence: 99%

Multiclass classification of environmental chemical stimuli from unbalanced plant electrophysiological data

2023

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Plant electrophysiological response contains useful signature of its environment and health which can be utilized using suitable statistical analysis for developing an inverse model to classify the stimulus applied to the plant. In this paper, we have presented a statistical analysis pipeline to tackle a multiclass environmental stimuli classification problem with unbalanced plant electrophysiological data. The objective here is to classify three different environmental chemical stimuli, using fifteen statistical features, extracted from the plant electrical signals and compare the performance of eight different classification algorithms. A comparison using reduced dimensional projection of the high dimensional features via principal component analysis (PCA) has also been presented. Since the experimental data is highly unbalanced due to varying length of the experiments, we employ a random under-sampling approach for the two majority classes to create an ensemble of confusion matrices to compare the classification performances. Along with this, three other multi-classification performance metrics commonly used for unbalanced data viz. balanced accuracy, F1-score and Matthews correlation coefficient have also been analyzed. From the stacked confusion matrices and the derived performance metrics, we choose the best feature-classifier setting in terms of the classification performances carried out in the original high dimensional vs. the reduced feature space, for this highly unbalanced multiclass problem of plant signal classification due to different chemical stress. Difference in the classification performances in the high vs. reduced dimensions are also quantified using the multivariate analysis of variance (MANOVA) hypothesis testing. Our findings have potential real-world applications in precision agriculture for exploring multiclass classification problems with highly unbalanced datasets, employing a combination of existing machine learning algorithms. This work also advances existing studies on environmental pollution level monitoring using plant electrophysiological data.

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“…The Schlumberger resistance technique is used to calibrate 1 data taken form soil science society of America the measurement device. The differential potential developed can be written as (1) where d is the spacing between electrodes.…”

Section: Ground Potential Measurementmentioning

confidence: 99%

“…In such case the measurement system will be the first one to fail. However, wireless sensor network can be used in this scenario as these are independent, easily deployable and scalable and implementable using IoT devices [1], [2]. A trivial solution is to implement a data collection node with multiple data acquisition and transmission nodes.…”

Section: Introductionmentioning

confidence: 99%

Expendable and Distributed Measurement Scheme for Acquisition of Naturally Sparse Events

Vivekanand

Mishra

2022

Wireless Pers Commun

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A common reason for electronic measurement anomaly is the inadvertent rise in ground potential with respect to measurement ground. The ground potential rise happens during current leakage to ground from lightning or from power grid and leads to catastrophic failure unless appropriate preventive action is taken to isolate the sensitive measurement systems. A networked system for acquisition and transmission of ground potential measurements to data monitoring station is presented here. The system is aimed to implement using low-cost IoT devices with limited resources since these units are planned to be expendable. The limited processing power of such devices is not sufficient to run high efficient computation intensive routing algorithms. A lightweight routing algorithm for this purpose is proposed here. The discussion on reliability of such systems is also presented. The multipath route discovery strategy presented here reconfigures the network to an optimal configuration with respect to energy dissipation and node distribution.

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A WSN for ground-level ozone monitoring based on plant electrical activity analysis

Cited by 8 publications

References 21 publications

Plant electrophysiology: bibliometric analysis, methods and applications in the monitoring of plant-environment interactions

Plant electrophysiology: bibliometric analysis, methods and applications in the monitoring of plant-environment interactions

Multiclass classification of environmental chemical stimuli from unbalanced plant electrophysiological data

Expendable and Distributed Measurement Scheme for Acquisition of Naturally Sparse Events

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