dc.contributor.advisor | Zare, Alina | eng |
dc.contributor.author | Seethepalli, Anand | eng |
dc.date.issued | 2016 | eng |
dc.date.submitted | 2016 Fall | eng |
dc.description.abstract | Plant root phenotyping is a key component in plant breeding and selection for desireable root properties. Preferable root traits can not only help a plant to grow faster but also allow for more dense and deep root system architectures (RSA) that aid in making the plant resistant to drought conditions. In this thesis, an efficient high-throughput plant root phenotyping system that can take the images of RSA from various angles using multiple cameras is presented. This system needs to be a high-throughput system such that is can be used to phenotype up to hundreds or thousands of plant roots quickly. | eng |
dc.identifier.uri | https://hdl.handle.net/10355/59990 | |
dc.language | English | eng |
dc.publisher | University of Missouri--Columbia | eng |
dc.relation.ispartofcommunity | University of Missouri--Columbia. Graduate School. Theses and Dissertations | eng |
dc.rights | OpenAccess. | eng |
dc.rights.license | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License. | |
dc.title | Multi-camera high-throughput plant root phenotyping system | eng |
dc.type | Thesis | eng |
thesis.degree.discipline | Computer engineering (MU) | eng |
thesis.degree.grantor | University of Missouri--Columbia | eng |
thesis.degree.level | Masters | eng |
thesis.degree.name | M.S. | eng |