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Cloud database for soil information
dc.contributor.advisorNečaský, Martin
dc.creatorAndreeva, Olga
dc.date.accessioned2017-06-02T12:34:01Z
dc.date.available2017-06-02T12:34:01Z
dc.date.issued2016
dc.identifier.urihttp://hdl.handle.net/20.500.11956/84442
dc.description.abstractTitle: 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.languageEnglishcs_CZ
dc.language.isoen_US
dc.publisherUniverzita Karlova, Matematicko-fyzikální fakultacs_CZ
dc.subjectcloud databasecs_CZ
dc.subjectweb applicationcs_CZ
dc.subjectsoil informationcs_CZ
dc.subjectcloud databaseen_US
dc.subjectweb applicationen_US
dc.subjectsoil informationen_US
dc.titleCloud database for soil informationen_US
dc.typebakalářská prácecs_CZ
dcterms.created2016
dcterms.dateAccepted2016-09-08
dc.description.departmentDepartment of Software Engineeringen_US
dc.description.departmentKatedra softwarového inženýrstvícs_CZ
dc.description.facultyMatematicko-fyzikální fakultacs_CZ
dc.description.facultyFaculty of Mathematics and Physicsen_US
dc.identifier.repId176225
dc.title.translatedCloud database for soil informationcs_CZ
dc.contributor.refereeTůma, Petr
dc.identifier.aleph002102525
thesis.degree.nameBc.
thesis.degree.levelbakalářskécs_CZ
thesis.degree.disciplineObecná informatikacs_CZ
thesis.degree.disciplineGeneral Computer Scienceen_US
thesis.degree.programInformatikacs_CZ
thesis.degree.programComputer Scienceen_US
uk.thesis.typebakalářská prácecs_CZ
uk.taxonomy.organization-csMatematicko-fyzikální fakulta::Katedra softwarového inženýrstvícs_CZ
uk.taxonomy.organization-enFaculty of Mathematics and Physics::Department of Software Engineeringen_US
uk.faculty-name.csMatematicko-fyzikální fakultacs_CZ
uk.faculty-name.enFaculty of Mathematics and Physicsen_US
uk.faculty-abbr.csMFFcs_CZ
uk.degree-discipline.csObecná informatikacs_CZ
uk.degree-discipline.enGeneral Computer Scienceen_US
uk.degree-program.csInformatikacs_CZ
uk.degree-program.enComputer Scienceen_US
thesis.grade.csVýborněcs_CZ
thesis.grade.enExcellenten_US
uk.abstract.enTitle: 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-availabilityV
uk.publication.placePrahacs_CZ
uk.grantorUniverzita Karlova, Matematicko-fyzikální fakulta, Katedra softwarového inženýrstvícs_CZ
dc.identifier.lisID990021025250106986


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