| dc.contributor.advisor | Nečaský, Martin | |
| dc.creator | Andreeva, Olga | |
| dc.date.accessioned | 2017-06-02T12:34:01Z | |
| dc.date.available | 2017-06-02T12:34:01Z | |
| dc.date.issued | 2016 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11956/84442 | |
| dc.description.abstract | Title: Cloud database for soil information Author: Olga Andreeva Department: Department of Software Engineering Supervisor: doc. Mgr. Martin Nečaský, Ph.D., Department of Software Engi- neering Abstract: The mere presence of scientific data is not enough. Reliable storage and ease of publication critically contribute to the data's usefulness. The Africa Soil Information Service's mission is to describe and understand Africa's soil and landscape resources. To ensure its accomplishment the introduc- tion of modern information technologies is essential - they provide the necessary means to safely store, easily share and analyse the information collected from soil samples and drone imagery. In the presented work we develop a system that will tackle one part of the problem - how to store the information extracted from soil samples. The current method that is employed by scientists consists of making a record on paper by hand in one of the books in the laboratory's storage room. Such system, of course, does not allow to easily share the data, it is prone to damages (e.g. in case of _re) and leaves little room for analysis (especially using methods from machine learning, which require a large set of digital data). By contrast our system, developed in the form of a web application, stores soil information in the... | en_US |
| dc.language | English | cs_CZ |
| dc.language.iso | en_US | |
| dc.publisher | Univerzita Karlova, Matematicko-fyzikální fakulta | cs_CZ |
| dc.subject | cloud database | cs_CZ |
| dc.subject | web application | cs_CZ |
| dc.subject | soil information | cs_CZ |
| dc.subject | cloud database | en_US |
| dc.subject | web application | en_US |
| dc.subject | soil information | en_US |
| dc.title | Cloud database for soil information | en_US |
| dc.type | bakalářská práce | cs_CZ |
| dcterms.created | 2016 | |
| dcterms.dateAccepted | 2016-09-08 | |
| dc.description.department | Department of Software Engineering | en_US |
| dc.description.department | Katedra softwarového inženýrství | cs_CZ |
| dc.description.faculty | Matematicko-fyzikální fakulta | cs_CZ |
| dc.description.faculty | Faculty of Mathematics and Physics | en_US |
| dc.identifier.repId | 176225 | |
| dc.title.translated | Cloud database for soil information | cs_CZ |
| dc.contributor.referee | Tůma, Petr | |
| dc.identifier.aleph | 002102525 | |
| thesis.degree.name | Bc. | |
| thesis.degree.level | bakalářské | cs_CZ |
| thesis.degree.discipline | Obecná informatika | cs_CZ |
| thesis.degree.discipline | General Computer Science | en_US |
| thesis.degree.program | Informatika | cs_CZ |
| thesis.degree.program | Computer Science | en_US |
| uk.thesis.type | bakalářská práce | cs_CZ |
| uk.taxonomy.organization-cs | Matematicko-fyzikální fakulta::Katedra softwarového inženýrství | cs_CZ |
| uk.taxonomy.organization-en | Faculty of Mathematics and Physics::Department of Software Engineering | en_US |
| uk.faculty-name.cs | Matematicko-fyzikální fakulta | cs_CZ |
| uk.faculty-name.en | Faculty of Mathematics and Physics | en_US |
| uk.faculty-abbr.cs | MFF | cs_CZ |
| uk.degree-discipline.cs | Obecná informatika | cs_CZ |
| uk.degree-discipline.en | General Computer Science | en_US |
| uk.degree-program.cs | Informatika | cs_CZ |
| uk.degree-program.en | Computer Science | en_US |
| thesis.grade.cs | Výborně | cs_CZ |
| thesis.grade.en | Excellent | en_US |
| uk.abstract.en | Title: Cloud database for soil information Author: Olga Andreeva Department: Department of Software Engineering Supervisor: doc. Mgr. Martin Nečaský, Ph.D., Department of Software Engi- neering Abstract: The mere presence of scientific data is not enough. Reliable storage and ease of publication critically contribute to the data's usefulness. The Africa Soil Information Service's mission is to describe and understand Africa's soil and landscape resources. To ensure its accomplishment the introduc- tion of modern information technologies is essential - they provide the necessary means to safely store, easily share and analyse the information collected from soil samples and drone imagery. In the presented work we develop a system that will tackle one part of the problem - how to store the information extracted from soil samples. The current method that is employed by scientists consists of making a record on paper by hand in one of the books in the laboratory's storage room. Such system, of course, does not allow to easily share the data, it is prone to damages (e.g. in case of _re) and leaves little room for analysis (especially using methods from machine learning, which require a large set of digital data). By contrast our system, developed in the form of a web application, stores soil information in the... | en_US |
| uk.file-availability | V | |
| uk.publication.place | Praha | cs_CZ |
| uk.grantor | Univerzita Karlova, Matematicko-fyzikální fakulta, Katedra softwarového inženýrství | cs_CZ |
| dc.identifier.lisID | 990021025250106986 | |