Volumetric yield sensing in a combine harvester

dc.contributor.advisor Matthew Darr
dc.contributor.author Hanigan, Michael
dc.contributor.department Agricultural and Biosystems Engineering
dc.date 2018-08-11T14:27:51.000
dc.date.accessioned 2020-06-30T03:10:37Z
dc.date.available 2020-06-30T03:10:37Z
dc.date.copyright Tue May 01 00:00:00 UTC 2018
dc.date.embargo 2001-01-01
dc.date.issued 2018-01-01
dc.description.abstract <p>This study focused on quantifying the engineering drivers for improving the accuracy of an optical beam-based yield monitor. The development of the single paddle test stand led to the quantification of the relationship between the output response of an optical beam-based mass flow sensor and a corresponding mass of grain traveling on an individual clean grain elevator paddle. The study optimized the design of the clean grain elevator paddle to reduce the variation in the output response from an optical beam-based mass flow sensor. The optimal location and adequate sampling frequency of the optical beam-based mass flow sensor, determined using the single paddle test stand, led to the development of two mass flow yield monitor algorithms. The study evaluated the two mass flow yield monitor algorithms against the Ag Leader and Raven Industries yield monitors. The results concluded that by applying a mass flow yield monitor algorithm utilizing a piecewise regression rather than a completely linear regression, a significant amount of error could be reduced across mass flow rates.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/etd/16369/
dc.identifier.articleid 7376
dc.identifier.contextkey 12318677
dc.identifier.doi https://doi.org/10.31274/etd-180810-5999
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath etd/16369
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/30552
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/etd/16369/Hanigan_iastate_0097M_17176.pdf|||Fri Jan 14 20:59:07 UTC 2022
dc.subject.disciplines Agriculture
dc.subject.disciplines Bioresource and Agricultural Engineering
dc.title Volumetric yield sensing in a combine harvester
dc.type article
dc.type.genre thesis
dspace.entity.type Publication
relation.isOrgUnitOfPublication 8eb24241-0d92-4baf-ae75-08f716d30801
thesis.degree.discipline Agricultural and Biosystems Engineering
thesis.degree.level thesis
thesis.degree.name Master of Science
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