Please use this identifier to cite or link to this item: http://dspace.aiub.edu:8080/jspui/handle/123456789/2421
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBasak, R.-
dc.contributor.authorWahid, K.A.-
dc.date.accessioned2024-09-24T05:29:19Z-
dc.date.available2024-09-24T05:29:19Z-
dc.date.issued2022-07-
dc.identifier.urihttps://doi.org/10.3390/rs14133214-
dc.identifier.urihttp://dspace.aiub.edu:8080/jspui/handle/123456789/2421-
dc.description.abstractPlant phenotyping plays an important role for the thorough assessment of plant traits such as growth, development, and physiological processes with the target of achieving higher crop yields by the proper crop management. The assessment can be done by utilizing two- and three-dimensional image reconstructions of the inhomogeneities. The quality of the reconstructed image is required to maintain a high accuracy and a good resolution, and it is desirable to reconstruct the images with the lowest possible noise. In this work, an electrical impedance tomography (EIT) data acquisition system is developed for the reconstruction and evaluation of the inhomogeneities by utilizing a non-destructive method. A high-precision EIT system is developed by designing an electrode array sensor using a cylindrical domain for the measurements in different planes. Different edible plant slices along with multiple plant roots are taken in the EIT domain to assess and calibrate the system, and their reconstructed results are evaluated by utilizing an impedance imaging technique. A non-invasive imaging is carried out in multiple frequencies by utilizing a difference method of reconstruction. The performance and accuracy of the EIT system are evaluated by measuring impedances between 1 and 100 kHz using a low-cost and rapid electrical impedance spectroscopy (EIS) tool connected to the sensor. A finite element method (FEM) modeling is utilized for image reconstruction, which is carried out using electrical impedance and diffuse optical tomography reconstruction software (EIDORS). The reconstruction is made successfully with the optimized results obtained using Gauss–Newton (GN) algorithms.en_US
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.subjectelectrical impedance tomographyen_US
dc.subjectmultifrequencyen_US
dc.subjectimage reconstructionen_US
dc.subjectplant phenotypingen_US
dc.titleA Rapid, Low-Cost, and High-Precision Multifrequency Electrical Impedance Tomography Data Acquisition System for Plant Phenotypingen_US
dc.typeArticleen_US
Appears in Collections:Publications From Faculty of Engineering

Files in This Item:
File Description SizeFormat 
J10_Dr. Rinku Basak_DSpace_Publication_FE.docx3.39 MBMicrosoft Word XMLView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.