Detection of plant characteristics and a comparison of effectiveness between 2d and 3d data visualization in supporting human perception of plant characteristics

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dc.contributor.advisorKing, Scott A.
dc.contributor.authorPham, Thanh Van
dc.contributor.authorPham, Thanh Van
dc.contributor.committeeMemberLee, Byung Cheol
dc.contributor.committeeMemberSheta, Alaa
dc.contributor.committeeMemberLee, Byung Cheol
dc.contributor.committeeMemberSheta, AlaaLee, Byung Cheol
dc.contributor.committeeMemberSheta, Alaa
dc.date.accessioned2018-10-19T16:31:13Z
dc.date.accessioned2018-10-19T16:31:13Z
dc.date.available2018-10-19T16:31:13Z
dc.date.available2018-10-19T16:31:13Z
dc.date.issued2018-05
dc.date.issued2018-052018-05
dc.description.abstractEfficient agriculture requires the assessment of plant characteristics. A higher crop yield can be achieved with good quality plant characteristic data. In this research, a system was developed using the algorithms presented here to automatically extract plant characteristics. The automatically extracted values were compared with ground-truth data to evaluate the accuracy of the system. As well, the effectiveness of using 2 or 3-dimensional data visualization for determining these characteristics is studied. An experiment was conducted to investigate how effective plant characteristics are evaluated when using 2D or 3D data visualizations. Participants were presented with either plant pictures (2D) or 3D plant models and tasked with identifying plant height and the number of leaves. Task completion times and accuracy rates were gathered for performance analysis.en_US
dc.description.collegeCollege of Science and Engineeringen_US
dc.description.departmentComputing Sciencesen_US
dc.format.extent46 pagesen_US
dc.identifier.urihttps://tamucc-ir.tdl.org/handle/1969.6/87018
dc.identifier.urihttps://tamucc-ir.tdl.org/handle/1969.6/87018https://tamucc-ir.tdl.org/handle/1969.6/87018
dc.language.isoen_USen_US
dc.rightsThis material is made available for use in research, teaching, and private study, pursuant to U.S. Copyright law. The user assumes full responsibility for any use of the materials, including but not limited to, infringement of copyright and publication rights of reproduced materials. Any materials used should be fully credited with its source. All rights are reserved and retained regardless of current or future development or laws that may apply to fair use standards. Permission for publication of this material, in part or in full, must be secured with the author and/or publisher.en_US
dc.subjectAgricultureen_US
dc.subjectCharacteristicen_US
dc.subjectData Visualizationen_US
dc.subjectfeature extractionen_US
dc.subjectPlanten_US
dc.titleDetection of plant characteristics and a comparison of effectiveness between 2d and 3d data visualization in supporting human perception of plant characteristicsen_US
dc.typeTexten_US
dc.type.genreThesisen_US
thesis.degree.disciplineComputer Scienceen_US
thesis.degree.grantorTexas A & M University--Corpus Christien_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Scienceen_US

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