Stored Grain Volume MeasurementUsing a Low Density Point Cloud

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dc.contributor.author Turner, A. P.
dc.contributor.author Jackson, J. J.
dc.contributor.author Koeninger, N. K.
dc.contributor.author McNeill, S. G.
dc.contributor.author Montross, M. D.
dc.contributor.author Casada, Mark E.
dc.contributor.author Boac, Josephine M.
dc.contributor.author Bhadra, Rumela
dc.contributor.author Maghirang, R. G.
dc.contributor.author Thompson, S. A.
dc.date.accessioned 2017-11-30T21:40:38Z
dc.date.available 2017-11-30T21:40:38Z
dc.date.issued 2017-09-01
dc.identifier.uri http://hdl.handle.net/2097/38324
dc.description Citation: Turner, A. P., Jackson, J. J., Koeninger, N. K., McNeill, S. G., Montross, M. D., Casada, M. E., . . . Thompson, S. A. (2017). STORED GRAIN VOLUME MEASUREMENT USING A LOW DENSITY POINT CLOUD. Applied Engineering in Agriculture, 33(1), 105-112. doi:10.13031/aea.11870
dc.description.abstract This technical note presents the development of a new apparatus and data processing method to accurately estimate the volume of stored grain in a bin. Specifically, it was developed to account for the variability in surface topography that can occur in large diameter bins when partially unloaded. This was accomplished using a laser distance meter to create a low density point cloud, from which a surface was interpolated using ArcMap geoprocessing tools. The manually controlled and portable system was designed to hold the laser distance meter and provided a common reference point. The data from the laser distance meter was transmitted to a tablet PC via Bluetooth. Measurement of an empty hopper bottom bin (4.6 m in diameter and 6.5 m tall) demonstrated that the system was able to measure a known volume within 0.02%, and repeated measures of an empty flat bottom bin (1.8 m in diameter, and 5.7 m tall) were within 0.29% of the known volume. Two applications are presented which highlight the system's ability to capture complex surfaces, as well as limitations that result from fill scenarios where the field of view was limited.
dc.relation.uri https://doi.org/10.13031/aea.11870
dc.rights This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
dc.rights.uri http://www.asabe.org/publications/authors/submit-journal-manuscript.aspx
dc.rights.uri https://rightsstatements.org/page/InC/1.0/?language=en
dc.subject Grain Surface
dc.subject Spatial Modeling
dc.subject Stored Grain Management
dc.subject Compressibility
dc.subject Wheat
dc.subject Agriculture
dc.title Stored Grain Volume MeasurementUsing a Low Density Point Cloud
dc.type Article
dc.date.published 2017
dc.citation.doi 10.13031/aea.11870
dc.citation.epage 112
dc.citation.issn 0883-8542
dc.citation.issue 1
dc.citation.jtitle Applied Engineering in Agriculture
dc.citation.spage 105
dc.citation.volume 33
dc.contributor.authoreid rmaghir
dc.contributor.kstate Maghirang, Ronaldo


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