The Optimization of the 3-d Structure of Plants, Using Functional-Structural Plant Models
Case Study of Rice (Oryza sativa L.) in Indonesia
dc.contributor.advisor | Kurth, Winfried Prof. Dr. | |
dc.contributor.author | Utama, Ditdit Nugeraha | |
dc.date.accessioned | 2015-12-03T09:46:56Z | |
dc.date.available | 2015-12-03T09:46:56Z | |
dc.date.issued | 2015-12-03 | |
dc.identifier.uri | http://hdl.handle.net/11858/00-1735-0000-0028-8659-5 | |
dc.identifier.uri | http://dx.doi.org/10.53846/goediss-5407 | |
dc.language.iso | eng | de |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject.ddc | 510 | de |
dc.title | The Optimization of the 3-d Structure of Plants, Using Functional-Structural Plant Models | de |
dc.title.alternative | Case Study of Rice (Oryza sativa L.) in Indonesia | |
dc.type | doctoralThesis | de |
dc.contributor.referee | Kurth, Winfried Prof. Dr. | |
dc.date.examination | 2015-11-30 | |
dc.description.abstracteng | One component of the performance of plants is their capability to intercept light. By using a functional-structural modelling approach, an optimization model of the 3-d above-ground structure of plants is constructed, especially for four Indonesian rice varieties. The constructed model consists of three main clusters: rice plant, skylight, and optimization. Virtual experiments, using the optimization method of "simulated annealing", deliver as a result the optimized shape of each rice variety. Twenty-one parameters of rice plant structure are considered in the optimization process. | de |
dc.contributor.coReferee | Becker, Heiko C. Prof. Dr. | |
dc.subject.eng | functional-structural plant model | de |
dc.subject.eng | rice | de |
dc.subject.eng | Oryza sativa | de |
dc.subject.eng | optimization | de |
dc.subject.eng | simulated annealing | de |
dc.identifier.urn | urn:nbn:de:gbv:7-11858/00-1735-0000-0028-8659-5-3 | |
dc.affiliation.institute | Fakultät für Mathematik und Informatik | de |
dc.subject.gokfull | Mathematics (PPN61756535X) | de |
dc.identifier.ppn | 842118527 |