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dc.contributor.advisorKunze, Otto R.
dc.creatorStermer, Raymond Andrew
dc.date.accessioned2020-09-02T20:45:27Z
dc.date.available2020-09-02T20:45:27Z
dc.date.issued1971
dc.identifier.urihttps://hdl.handle.net/1969.1/DISSERTATIONS-173233
dc.description.abstractAn increased public awareness of the importance of a clean, wholesome food supply has focused attention on the problem of preventing and controlling insect infestation. Stored-grain insects feed and develop inside the kernels during part or all of their life cycle. Grain that may appear to be in good condition from casual inspection may contain enough internal infestation to render it unfit for human food. Early detection of "hidden" insects is essential for control of insects as well as for determining the wholesomeness of the grain for human consumption. The research reported in this dissertation has resulted in the development of three inspection methods. The first method, a flotation method, fails to be highly accurate and fails to detect young larval and egg stages of "hidden" insect infestation. Therefore, its use would be unsuitable for grain grading or for research where more accurate methods are needed. It would provide farmers and grain warehouse operators with a quick simple method for estimating the level of infestation in grain. The second method, a radiographic process, is highly accurate and would be useful to researchers and manufacturers who require a critical appraisal of grain quality for the production of such products as baby food. The third method is an automated procedure which would be more useful for routine inspection of grain by inspection laboratories, storage operators and transport companies. ...en
dc.format.extent121 leavesen
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.rightsThis thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use.en
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectMajor agricultural engineeringen
dc.titleAn automated X-ray inspection system for measuring "hidden" insect infestation in grainen
dc.typeThesisen
thesis.degree.disciplineAgricultural Engineeringen
thesis.degree.grantorTexas A&M Universityen
thesis.degree.nameDoctor of Philosophyen
thesis.degree.namePh. D. in Agricultural Engineeringen
thesis.degree.levelDoctorialen
dc.contributor.committeeMemberHallmark, Glenn D.
dc.contributor.committeeMemberRandolph, N. M.
dc.type.genredissertationsen
dc.type.materialtexten
dc.format.digitalOriginreformatted digitalen
dc.publisher.digitalTexas A&M University. Libraries
dc.identifier.oclc5704953


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