Management of Farmers and Farmland Information : A Case Study in Turkey
Ismail Dursun, Abdurrahman Geymen & Omer Faruk Inan
The use of an integrated approach has become a need for the application of the precautions taken in the context of agricultural policy, the production of yearly agricultural statistics with reliable methods and meeting common data needs of different foundations/users. In order to meet this need, a dynamic data structure on farmer and agricultural land is required as a prerequisite. In this context, with a national project no. 112Y027, it is aimed to develop a dynamic data model which makes possible the collection, integrity and use of data on farmer and agricultural land from different sources by providing inter-foundational collaboration, service/responsibility share and interoperability. In this study, based on this continuing project, a pilot application was carried out in Elagoz district of Kocasinan County, Kayseri Province in order to reflect the project advancement, present the data collected and also some sample applications indicating both the need for model development and future capabilities. In this pilot application, data on civic and address information of inhabitants, cadastre parcels data, ownership data in land registry, farmerss, farmland and agricultural crop data declared by farmers previously and agricultural land use/cover dataset were used. All available data was analysed, developed by reclassifying or collecting additional information, and converted into a standardized data structure in the cases this is required. For spatial data management sub-parcel data structure was used. For attribute data, different levels of agricultural land classifications and also agricultural product classifications were used. As the second part of the pilot application, three sample web services were currently developed for related institutions.
Event: XXV FIG International Congress : Engaging the Challenges, Enhancing the Relevance
Only personal, non-commercial use of this document is allowed.