Multi-criteria GIS-based land suitability analysis for rice cultivation: a case study in Guilan Province, Iran

Author:

Bazkiaee Pooya Aalaee,Kamkar BehnamORCID,Amiri Ebrahim,Kazemi Hossein,Rezaei Mojtaba,Araji Hamidreza Ahmadzadeh

Publisher

Springer Science and Business Media LLC

Reference52 articles.

1. AalaeeBazkiaee, P. A., Kamkar, B., Amiri, E., Kazemi, H., Rezaei, M., & López-Bernal, A. (2022). The rice yield gap estimation using integrated system approaches: A case study—Guilan province. Iran. International Journal of Environmental Science and Technology, 19, 8451–8464. https://doi.org/10.1007/s13762-022-04093-z

2. Aama Azghadi, A., Khorassani, R., Mokarram, M., & Moezi, A. (2010). Soil fertility evaluation based on soil K, P and organic matter factors for wheat by using fuzzy logic-AHP and GIS techniques. Journal of Water and Soil, 24, 973–984. https://doi.org/10.22067/JSW.V0I0.6242 (In Persian).

3. Aghajari, M., Mozayyan, M., Mokarram, M., & Chekan, A. A. (2019). Relationship between groundwater quality and distance to fault using adaptive neuro fuzzy inference system (ANFIS) and geostatistical methods (case study: North of Fars Province). Spatial Information Research, 27, 529–538. https://doi.org/10.1007/s41324-019-00253-5

4. Agricultural Statistics. (2018). Volume I: Crop products (p. 90). Office of statistics and information-technology, deputy director of planning and economic affairs, ministry of agricultural Jihad. from file:///L:/Download1/akj1-keshvar-1399_1400.pdf. Accessed 20 Jun 2024 (In Persian).

5. Alizadeh Dehkordi, P. A., Nehbandani, A., Hassanpour-Bourkheili, S., & Kamkar, B. (2020). Yield gap analysis using remote sensing and modelling approaches: Wheat in the northwest of Iran. International Journal of Plant Production, 14, 443–452. https://doi.org/10.1007/s42106-020-00095-4

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