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dc.contributor.authorÖzçelik, Ali Erdem
dc.contributor.authorNişancı, Recep
dc.date.accessioned2020-12-19T19:56:42Z
dc.date.available2020-12-19T19:56:42Z
dc.date.issued2015
dc.identifier.citationOzcelik, A.E., Nisanci, R. (2015). Building of geo-spatial data model for tea agricultural crop-lands compliance with LPIS Core Model (LCM) based land administration domain standards. Computers and Electronics in Agriculture, 117, 8-21. https://doi.org/10.1016/j.compag.2015.07.008en_US
dc.identifier.issn0168-1699
dc.identifier.issn1872-7107
dc.identifier.urihttps://doi.org/10.1016/j.compag.2015.07.008
dc.identifier.urihttps://hdl.handle.net/11436/2770
dc.descriptionWOS: 000362135900002en_US
dc.description.abstractIn the worldwide within the context of the agricultural development policies some agricultural crops are qualified as specialty agricultural crops having important leading effects on (i) food security, (ii) livelihood security and (iii) agricultural and rural development. So, in this paper, based on these criterias and because of having strategic position on national and regional agricultural development and growing under state guarantee in related countries tea agricultural crop is expected to specify as specialty agricultural crop in agricultural world today. But there is no more initiative for development of well-designed sustainable cropping systems and also for infrastructure of geo-spatial data management and tools for tea agricultural crop and cropping process as well. Thus, firstly, there is an increasing need and growing interest through providing insights in underlying drivers for tea agriculture with all facilities and actions. One of these drivers is to enable management framework of tea agricultural croplands and cropping assessment. Secondly, to determination and registration of land use rights, restrictions and responsibilities (RRR) on these croplands in a legal framework, the spatial data or spatial data management collaboration with land administration domains is required as a major tool for enabling both sustainable land management and spatial data infrastructure to enable spatial land use planning for tea agricultural crop-lands. At the last, it is also sounded as development the production to consumption management schema for tea agricultural cropping with all applications and practices. So, in this paper, it is built geo-spatial data model for tea agricultural crops and crop-lands both as a specialization of Specialty Agricultural Model and also as component of Land Parcel Identification System (LPIS) Core Model (LCM) based on Land Administration Domain Model (LADM). As a result for sustainable global tea agricultural croplands management, it is expected to integrate this model with the standards of Infrastructure for Spatial Information in the European Community (INSPIRE) and Turkey National Geographical Information System (TUCBS) as well. (C) 2015 Elsevier B.V. All rights reserved.en_US
dc.language.isoengen_US
dc.publisherElsevier Sci Ltden_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectLand Administration Domain Modelen_US
dc.subjectLPIS Core Modelen_US
dc.subjectSpecialty agricultural cropsen_US
dc.subjectTea agricultureen_US
dc.subjectSpatial data modelen_US
dc.subjectTea agricultural modelen_US
dc.titleBuilding of geo-spatial data model for tea agricultural crop-lands compliance with LPIS Core Model (LCM) based land administration domain standardsen_US
dc.typearticleen_US
dc.contributor.departmentRTEÜ, Mühendislik ve Mimarlık Fakültesi, Peyzaj Mimarlığı Bölümüen_US
dc.contributor.institutionauthorÖzçelik, Ali Erdem
dc.identifier.doi10.1016/j.compag.2015.07.008
dc.identifier.volume117en_US
dc.identifier.startpage8en_US
dc.identifier.endpage21en_US
dc.relation.journalComputers and Electronics in Agricultureen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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