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Comparison of Cash Crop Suitability Assessment Using Parametric, AHP, and FAHP Methods

Author

Listed:
  • Rujee Rodcha

    (Remote Sensing and GIS field of study, School of Engineering and Technology, Asian Institute of Technology, P.O. Box 4, Klong Luang, Pathumthani 12120, Thailand)

  • Nitin K. Tripathi

    (Remote Sensing and GIS field of study, School of Engineering and Technology, Asian Institute of Technology, P.O. Box 4, Klong Luang, Pathumthani 12120, Thailand)

  • Rajendra Prasad Shrestha

    (Natural Resources Management field of study, School of Environment, Resources and Development, Asian Institute of Technology, P.O. Box 4, Klong Luang, Pathumthani 12120, Thailand)

Abstract

Cash crops, which include eucalyptus, play an important role in Thailand in wood utilization. Consequently, cash crops have become a significant driving force in land use changes and low crop yield; thus, the development of an accurate cash crop suitability model is needed. The aim of this study is to evaluate the land suitability of cash crops, such as eucalyptus, which is based on Multi Criteria Decision Making (MCDM) in Nakhon Ratchasima Province in Thailand. Parametric, classical Analytical Hierarchy Process (AHP), and fuzzy AHP (FAHP) approaches integrated with Geographic Information Systems (GIS) are compared to accomplish this. Parametric approaches equally allocate importance to all factors. AHP assigns the distribution of important factors using expert opinions. FAHP accounts for the uncertainty in expert opinions, and the triangular (Tri) and trapezoidal (Tra) approaches are compared. The results demonstrated that Trapezoidal Fuzzy AHP (TraFAHP) could classify and map cash crop suitability with 90.16% accuracy, which is a higher overall accuracy than the other approaches that are based on reference map validation. Therefore, we recommend the TraFAHP method for accurately identifying cash crop suitability.

Suggested Citation

  • Rujee Rodcha & Nitin K. Tripathi & Rajendra Prasad Shrestha, 2019. "Comparison of Cash Crop Suitability Assessment Using Parametric, AHP, and FAHP Methods," Land, MDPI, vol. 8(5), pages 1-22, May.
    • Handle: RePEc:gam:jlands:v:8:y:2019:i:5:p:79-:d:229418
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    2. Ustaoglu, E. & Aydınoglu, A.C., 2020. "Suitability evaluation of urban construction land in Pendik district of Istanbul, Turkey," Land Use Policy, Elsevier, vol. 99(C).
    3. Mimica R. Milošević & Dušan M. Milošević & Ana D. Stanojević & Dragan M. Stević & Dušan J. Simjanović, 2021. "Fuzzy and Interval AHP Approaches in Sustainable Management for the Architectural Heritage in Smart Cities," Mathematics, MDPI, vol. 9(4), pages 1-29, February.
    4. Hillary Mugiyo & Vimbayi G. P. Chimonyo & Mbulisi Sibanda & Richard Kunz & Cecilia R. Masemola & Albert T. Modi & Tafadzwanashe Mabhaudhi, 2021. "Evaluation of Land Suitability Methods with Reference to Neglected and Underutilised Crop Species: A Scoping Review," Land, MDPI, vol. 10(2), pages 1-24, January.
    5. Tung Gia Pham & Chau Thi Minh Tran & Hai Thi Nguyen & Ha Ngan Trinh & Ngoc Bich Nguyen & Ha Khoa Ngoc Nguyen & Tan Trong Tran & Huy Dinh Le & Quy Ngoc Phuong Le, 2022. "Land Evaluation for Acacia ( Acacia mangium × Acacia auriculiformis ) Plantations in the Mountainous Regions of Central Vietnam," Land, MDPI, vol. 11(12), pages 1-27, December.
    6. Amir Hossein Salimi & Amir Noori & Hossein Bonakdari & Jafar Masoompour Samakosh & Ehsan Sharifi & Mohammadreza Hassanvand & Baharam Gharabaghi & Mehdi Agharazi, 2020. "Exploring the Role of Advertising Types on Improving the Water Consumption Behavior: An Application of Integrated Fuzzy AHP and Fuzzy VIKOR Method," Sustainability, MDPI, vol. 12(3), pages 1-33, February.

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