Building of geo-spatial data model for tea agricultural crop-lands compliance with LPIS Core Model (LCM) based land administration domain standards

Ozcelik A. E., Nisanci R.

COMPUTERS AND ELECTRONICS IN AGRICULTURE, vol.117, pp.8-21, 2015 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 117
  • Publication Date: 2015
  • Doi Number: 10.1016/j.compag.2015.07.008
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.8-21
  • Keywords: Land Administration Domain Model, LPIS Core Model, Specialty agricultural crops, Tea agriculture, Spatial data model, Tea agricultural model, BLACK TEA, MANAGEMENT, QUALITY
  • Recep Tayyip Erdoğan University Affiliated: Yes


In 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.