Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/5660
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dc.contributor.authorSingh, Puneeten_US
dc.contributor.authorChatterjee, Amiten_US
dc.contributor.authorBhatia, Vimalen_US
dc.date.accessioned2022-03-17T01:00:00Z-
dc.date.accessioned2022-03-17T15:43:07Z-
dc.date.available2022-03-17T01:00:00Z-
dc.date.available2022-03-17T15:43:07Z-
dc.date.issued2020-
dc.identifier.citationSingh, P., Chatterjee, A., Bhatia, V., & Prakash, S. (2020). Application of laser biospeckle analysis for assessment of seed priming treatments. Computers and Electronics in Agriculture, 169 doi:10.1016/j.compag.2020.105212en_US
dc.identifier.issn0168-1699-
dc.identifier.otherEID(2-s2.0-85077775580)-
dc.identifier.urihttps://doi.org/10.1016/j.compag.2020.105212-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/5660-
dc.description.abstract‘Priming’ is one of the well-established and low-cost pre-sowing treatments for improving seed germination properties and productivity. Priming treatments are based on controlled imbibition, allowing seeds to attain first reversible phase of germination prior to radical protrusion from the seed coat. Existing techniques for evaluating the effectiveness of priming require bulky experimental arrangements, long operating times, indirect and destructive analyses, and high costs. In this work, we demonstrate the use of a laser biospeckle technique for the characterization of priming treatments. The study employed two priming methods namely; hydropriming and chemical priming. To characterize the effect of priming, the treated seeds were illuminated by a spatially filtered laser beam. The resultant successive dynamic speckle patterns were captured using a CCD camera and analysed. Both, non-normalized histograms and a Gaussian fitting based robust indexing method were used to assess the qualitative and quantitative mapping of dynamicity. The effect of different priming treatments on seed imbibition behavior was evaluated and the results were benchmarked with the standard germination test. Biospeckle activity was found to be strongly correlated with the germination percentage (R = 0.88, p < 0.01) and negatively correlated with the mean germination time (R = −0.92, p < 0.01). The obtained results demonstrate that laser biospeckle can be advantageously used as an efficient, automated, fast, and non-destructive tool to evaluate seed priming treatments. © 2020en_US
dc.language.isoenen_US
dc.publisherElsevier B.V.en_US
dc.sourceComputers and Electronics in Agricultureen_US
dc.subjectAgricultureen_US
dc.subjectCCD camerasen_US
dc.subjectCultivationen_US
dc.subjectLaser beamsen_US
dc.subjectSpeckleen_US
dc.subjectBiospeckle activity (BA)en_US
dc.subjectBiospeckle techniquesen_US
dc.subjectDynamic speckle patternsen_US
dc.subjectExperimental arrangementen_US
dc.subjectGermination percentagesen_US
dc.subjectMean germination timeen_US
dc.subjectNormalized histogramsen_US
dc.subjectSeed primingen_US
dc.subjectCost benefit analysisen_US
dc.subjectgerminationen_US
dc.subjectimbibitionen_US
dc.subjectlaseren_US
dc.subjectradicalen_US
dc.subjectspeckleen_US
dc.subjectspectral analysisen_US
dc.titleApplication of laser biospeckle analysis for assessment of seed priming treatmentsen_US
dc.typeJournal Articleen_US
Appears in Collections:Department of Electrical Engineering

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