Journals / Sigma Journal of Engineering and Natural Sciences / 2015 / Cilt: 33 Sayı: 4

DEVELOPING CONCEPTUAL DATA MODEL FOR MANAGEMENT BASIS OF TEA- FARMLANDS AS SUB-COMPONENT OF SPECIALTY AGRICULTURAL CROPS

Pages
521–537
Publication Date
2015-09-01
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In addition to this, as a result of this study, it is aimed to development of the Land Administration Domain Model - Tea Agricultural Model (LADM-TAM) for sustainable tea agriculture and tea growing and integration this model to Turkish National Geographical Information System (TUCBS).

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In the worldwide within the context of the agricultural development policies some agricultural crops are qualified as Special Agricultural Crops (SAC) having important leading effects on food security, agricultural employment and rural development.
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Key Findings & Data:Especially the Modality Paper, for agricultural issues released by World Trade Organization (WTO) in 2006, covers some criteria are characterized for classifying the agricultural crops as special.
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Conclusion & Impact:In addition to this, as a result of this study, it is aimed to development of the Land Administration Domain Model - Tea Agricultural Model (LADM-TAM) for sustainable tea agriculture and tea growing and integration this model to Turkish National Geographical Information System (TUCBS).
🔬Design:Modeling & Simulation
📍Scope:2006 Verileri
⚙️Variables:Land administration · specialty agricultural crops · tea agricultural parcel

Abstract

In the worldwide within the context of the agricultural development policies some agricultural crops are qualified as Special Agricultural Crops (SAC) having important leading effects on food security, agricultural employment and rural development. Especially the Modality Paper, for agricultural issues released by World Trade Organization (WTO) in 2006, covers some criteria are characterized for classifying the agricultural crops as special. In this context, based on both international criteria and the principles mentioned above some agricultural crops such as especially tea and hazelnut and tobacco, cotton, olive, wheat etc. having important effects on national and regional development in Turkey would be specified as SAC. So, in Turkey, beside the European Union (EU) Common Agricultural Policy (CAP) reform, it is required that the development of Spatial Data Model (SDM) for administration SAC lands as well. In this thesis, the tea crop having strategic position on agricultural development and growing under state guarantee in Turkey assumed to specify as SAC and development of SDM for tea farming as a case study. And also it is emphasized that development of Tea Agricultural Land Administration Model (TALAM) and the requirements on Spatial Data Infrastructure (SDI) for spatial data management of tea agricultural lands. In addition to this, as a result of this study, it is aimed to development of the Land Administration Domain Model - Tea Agricultural Model (LADM-TAM) for sustainable tea agriculture and tea growing and integration this model to Turkish National Geographical Information System (TUCBS).

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Cite This Article

ÖZÇELİK, A. E., NİŞANCI, R. (2015). DEVELOPING CONCEPTUAL DATA MODEL FOR MANAGEMENT BASIS OF TEA- FARMLANDS AS SUB-COMPONENT OF SPECIALTY AGRICULTURAL CROPS. Sigma Journal of Engineering and Natural Sciences, Cilt: 33 Sayı: 4, 521–537. https://ajindex.com/articles/897882

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References (13)

  1. Taşdoğan C., 2010. “Özel Ürün” Politikası ve Gelir Çarpan Analizi, Kamu-İş; 11, 2.
  2. ABB, 2012. 2013 Sonrası Avrupa Birliği Ortak Tarım Politikası, T.C. Avrupa Birliği Bakanlığı, Ankara.
  3. Dutta, R., Smaling, E. M. A., Bhagat, R. M., Tolpekin, V. A., and Stein, A., 2012. “Analysis of Factors That Determine Tea Productivity in Northeastern India: A Combined Statistical and Modelling Approach”, Expl Agric., 48, 1, 4–84, Cambridge University Press 2011, doi:10.1017/S0014479711000834
  4. Asian Institute of Technology, 2002. Tea Sector, Small and Medium scale Industries in Asia: Energy and Environment.
  5. İnan H.İ., 2010. Arazi İdare Sisteminin Tarım Bileşeni Olarak Konumsal Veri Modeli Geliştirilmesi, Doktora Tezi, KTÜ, Fen Bilimleri Enstitüsü, Trabzon
  6. Dutta, R., 2010. “An integrated approach for monitoring tea plantations”, Geospatial world, Geospatial Comminication Network, November.
  7. Dutta, R., 2011. “Remote Sensing a Tool to Measure and Monitor Tea Plantations in Northeast India”, FIG Working Week 2011, Bridging the Gap between Cultures, Marrakech, Morocco, May, 2011
  8. Yomralıoğlu, T., Aydınoğlu, A.Ç., 2014. “Türkiye Ulusal Coğrafi Bilgi Sistemi (TUCBS) ve BB’ler İçin Coğrafi Veri Altyapısı”, Yeni (6360) Büyükşehir Yasası Ve Arazi Yönetimi, IV. Arazi Yönetimi Çalıştayı, 12 – 13 Mayıs 2014, KTÜ, Trabzon
  9. ÇŞB, 2012a. Kent Bilgi Sistemleri Standartlarının Belirlenmesi Projesi:İp-3(2): İş Süreci Analizi, T.C. Çevre ve Şehircilik Bakanlığı Coğrafi Bilgi Sistemleri Genel Müdürlüğü.
  10. URL, http://trkbis.uybhm.itu.edu.tr/page.php?id=81. T.C. Çevre ve Şehircilik Bakanlığı Coğrafi Bilgi Sistemleri Genel Müdürlüğü, TRKBİS Türkiye Kent Bilgi Sistemi Portalı, 26 Şubat 2013
  11. ISO/TC 211, 2009. Standards Guide ISO/TC 211 Geographic Information/Geomatics
  12. Aydınoğlu, A.Ç., 2007. ISO/TC211-Coğrafi Bilgi Standartları, TMMOB Coğrafi Bilgi Sistemleri Kongresi 2007, Ekim – Kasım, Trabzon
  13. Aydınoğlu, A. Ç., 2009. Türkiye İçin Coğrafi Veri Değişim Modelinin Geliştirilmesi, Doktora Tezi, Karadeniz Teknik Üniversitesi Fen Bilimleri Enstitüsü, Trabzon