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Fuzzy modeling of farmers' knowledge for land suitability classification

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  • Sicat, Rodrigo S.
  • Carranza, Emmanuel John M.
  • Nidumolu, Uday Bhaskar

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  • Sicat, Rodrigo S. & Carranza, Emmanuel John M. & Nidumolu, Uday Bhaskar, 2005. "Fuzzy modeling of farmers' knowledge for land suitability classification," Agricultural Systems, Elsevier, vol. 83(1), pages 49-75, January.
    • Handle: RePEc:eee:agisys:v:83:y:2005:i:1:p:49-75
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    References listed on IDEAS

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    1. Gonzalez, Rhodora M., 2002. "Joint learning with GIS: multi-actor resource management," Agricultural Systems, Elsevier, vol. 73(1), pages 99-111, July.
    2. Nisar Ahamed, T. R. & Gopal Rao, K. & Murthy, J. S. R., 2000. "GIS-based fuzzy membership model for crop-land suitability analysis," Agricultural Systems, Elsevier, vol. 63(2), pages 75-95, February.
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    1. Mahmoud Rezaei & Farshad Amiraslani & Najmeh Neysani Samani & Kazem Alavipanah, 2020. "Application of two fuzzy models using knowledge-based and linear aggregation approaches to identifying flooding-prone areas in Tehran," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 100(1), pages 363-385, January.
    2. Azadi, H. & Shahvali, M. & van den Berg, J.H. & Faghih, N., 2005. "Sustainable Rangeland Management Using A Multi-Fuzzy Model: How To Deal With Heterogeneous Experts’ Knowledge," ERIM Report Series Research in Management ERS-2005-016-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    3. Pilehforooshha, Parastoo & Karimi, Mohammad & Taleai, Mohammad, 2014. "A GIS-based agricultural land-use allocation model coupling increase and decrease in land demand," Agricultural Systems, Elsevier, vol. 130(C), pages 116-125.
    4. Salvacion Arnold R., 2017. "Mapping Spatio-Temporal Changes in Climatic Suitability of Corn in the Philippines under Future Climate Condition," Quaestiones Geographicae, Sciendo, vol. 36(1), pages 105-120, March.
    5. Vema, Vamsikrishna & Sudheer, K.P. & Chaubey, I., 2019. "Fuzzy inference system for site suitability evaluation of water harvesting structures in rainfed regions," Agricultural Water Management, Elsevier, vol. 218(C), pages 82-93.
    6. Ali Keshavarzi & Fereydoon Sarmadian & Ahmad Heidari & Mahmoud Omid, 2010. "Land Suitability Evaluation Using Fuzzy Continuous Classification (A Case Study: Ziaran Region)," Modern Applied Science, Canadian Center of Science and Education, vol. 4(7), pages 1-72, July.
    7. Akpoti, Komlavi & Kabo-bah, Amos T. & Zwart, Sander J., 2019. "Agricultural land suitability analysis: State-of-the-art and outlooks for integration of climate change analysis," Agricultural Systems, Elsevier, vol. 173(C), pages 172-208.
    8. Danvi, Alexandre & Jütten, Thomas & Giertz, Simone & Zwart, Sander J. & Diekkrüger, Bernd, 2016. "A spatially explicit approach to assess the suitability for rice cultivation in an inland valley in central Benin," Agricultural Water Management, Elsevier, vol. 177(C), pages 95-106.
    9. Reshmidevi, T.V. & Eldho, T.I. & Jana, R., 2009. "A GIS-integrated fuzzy rule-based inference system for land suitability evaluation in agricultural watersheds," Agricultural Systems, Elsevier, vol. 101(1-2), pages 101-109, June.

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