Hybrid GIS-MCDM Based Modeling Approach for Determination of Land Suitability of Wheat Cultivation in Konya Closed Basin, Türkiye

Year 2025, Volume: 31 Issue: 2, 427 - 446, 25.03.2025

Aydan Yaman , Mert Mutlu

Abstract

In countries with high population growth and migration potential, such as Türkiye, agricultural lands are gradually decreasing due to the increase in food demand and the misusage policies and urbanization applied to the lands. Land suitability activities carried out within the scope of agricultural sustainability in order to increase agricultural production and soil productivity are important. This study focuses on identifying the agricultural lands suitable for wheat cultivation by evaluating the Konya closed basin in the Central Anatolia Region of Türkiye by using a hierarchy developed with the integration of the AHP method, which is one of the GIS and MCDM techniques. Within this framework, 15 criteria were delineated under 4 main headings as meteorological criteria, topographic criteria, soil criteria, infrastructure and economic criteria and their weight values for their sub-criteria were calculated. The most effective criteria were determined as the average temperature of October (0.1379), followed by the average annual temperature (0.1300) and the land use capability (0.1191). Finally, the land suitability map was created for wheat cultivation. According to the suitability map, 0.39% (15 815 km2) of the study area is found to be very highly suitable for wheat cultivation, 61.24% (2 494 461 km2) is found to be highly suitable in terms of suitability. The districts of Kadinhani, Sarayonu, Altinekin, Cihanbeyli, Kulu, Karapinar and Emirgazi, which are located in the north of the study area, have been determined as very suitable regions for wheat cultivation. This study aims to contribute to the existing literature by identifying precise and suitable areas by combining GIS and AHP in the wheat cultivation site selection process. In the study, a new research perspective is presented by taking into account the uncertainty in the site selection process and the concept of sustainability in four different dimensions: meteorological, topographical, soil, and infrastructure and economic, thus aiming to guide decision-makers for future studies. According the current literature, that no comprehensive study has yet been conducted that covers such a large basin for the wheat plant, which is the raw material of humanity's basic nutritional needs. In addition, the average annual pressure criterion that is not examined in the literature was discussed in the study and its importance for wheat plant development was also examined. Consequently, the outcome of this study delineates that the methods and criteria used in this study may be guiding for site selection for wheat cultivation in future studies covering such wide areas.

Keywords

Land suitability assessment, Geographic Information Systems (GIS), Analytic Hierarchy Process (AHP), Multi-criteria decision making (MCDM)

References

• Aburas M M, Abdullah S H O, Ramli M F & Asha’ari Z H (2017). Land suitability analysis of urban growth in Seremban Malaysia, using GIS based Analytical Hierarchy Process. Procedia Engineering 198: 1128-1136. https://doi.org/10.1016/j.proeng.2017.07.155
• Akıncı H Ozalp A Y & Turgut B (2013). Agricultural land use suitability analysis using GIS and AHP technique. Computers and Electronics in Agriculture 97: 71-82. https://doi.org/10.1016/j.compag.2013.07.006
• Al-Hanbali A, Shibuta K, Alsaaideh B, Tawara Y (2021). Analysis of the land suitability for paddy fields in Tanzania using a GIS-based analytical hierarchy process. Geo-spatial Information Science 25(2): 212-228. https://doi.org/10.1080/10095020.2021.2004079
• Almayyahi M S & Al-Atab S M (2024). Evaluating land suitability for wheat cultivation criteria analysis fuzzy-AHP and geospatial techniques in northern Basrah Governorate. Basrah Journal of Agricultural Sciences 37(1): 212-223. https://doi.org/10.37077/25200860.2024.37.1.16
• Asseng S, Foster I & Turner N C (2011). The impact of temperature variability on wheat yields. Global change biology 17(2): 997- 1012. https://doi.org/10.1111/j.1365-2486.2010.02262.
• Ayehu G T & Besufekad S A (2015). Land suitability analysis for rice production: A GIS based multi-criteria decision approach. American Journal of Geographic Information System 4(3): 95-104. https://doi.org/10.5923/j.ajgis.20150403.02
• Bagheri M, Sulaiman W N A & Vaghefi N (2013). Application of geographic information system technique and analytical hierarchy process model for land-use suitability analysis on coastal area. Journal of Coastal Conservation 17(1):1-10. https://doi.org/10.1007/s11852-012-0213-4
• Baloch M S, Nadim M A., Zubair, Muhammad., Awan, I.U., Khan, E.A., Ali, SAJID., 2012. Evaluation of wheat under normal and late sowing conditions. Pak. J. Bot, 44(5): 1727-1732
• Begum F, Bajracharya R M, Sitaula B K & Sharma S (2013). Seasonal dynamics, slope, aspect and land use effects on soil mesofauna density in the mid-hills of Nepal. Farida. International Journal of Biodiversity Science, Ecosystem Services & Management 9(4): 290-297. https://doi.org/10.1080/21513732.2013.788565
• Bilgilioglu S S (2021). Land suitability assessment for olive cultivation using GIS and multi-criteria decision-making in Mersin city, Turkey. Arabian Journal of Geosciences 14: 2434. https://doi.org/10.1007/ 12517-021-08768-8
• Bilgilioglu S S, Gezgin C, Orhan O & Karakus P (2022). A GIS-based multi-criteria decision-making method for the selection of potential municipal solid waste disposal sites in Mersin, Turkey. Environmental Science and Pollution Research 29: 5313–5329. https://doi.org/10.1007/s11356-021-15859-2
• Cengiz T & Akbulak C (2009). Application of analytical hierarchy process and geographic information systems in land-use suitability evaluation: a case study of Dümrek village (Çanakkale, Turkey) . International Journal of Sustainable Development & World Ecology 16(4): 286–294. https://doi.org/10.1080/13504500903106634
• Chivasaa W, Mutanga O & Biradarc C (2019). Mapping land suitability for maize (Zea mays L.) production using GIS and AHP technique in Zimbabwe. South African Journal of Geomatics 8(2): 265-281. http://dx.doi.org/10.4314/sajg.v8i2.11
• Chuong H V (2011). Land suitability analysis and evaluation for productıon of fruıt trees usıng GIS technology A case study at Thua Thien Hue. Hue University Journal of Science: Agriculture and Rural Development 67(4): 13-22. https://doi.org/10.26459/jard.v67i4.3105
• Dai F C, Lee CF & Zhang X H (2001). GIS-based geo-environmental evaluation for urban land-use planning: a case study. Engineering Geology 61(4): 257–271. https://doi.org/10.1016/S0013-7952(01)00028-X
• Dedeoglu M & Dengiz O (2019). Generating of land suitability index for wheat with hybrid system approach using AHP and GIS. Computers and Electronics in Agriculture167: 105062. https://doi.org/10.1016/j.compag.2019.105062
• Dogan H G & Kan A (2019). The effect of precipitation and temperature on wheat yield in Turkey: a panel FMOLS and panel VECM approach. Environment. Development and Sustainability 21(1): 447-460. https://doi.org/10.1007/s10668-018-0298-5
• Everest T, Sungur A & Ozcan H (2021). Determination of agricultural land suitability with a multiple-criteria decision-making method in Northwestern Turkey. International Journal of Environmental Science and Technology 18: 1073-1088. https://doi.org/10.1007/s13762- 020-02869-9
• FAO (1976). A framework for land evaluation. FAO, Soils Bulletin 32, Rome
• FAO (1977). A framework for land evaluation. International Institute for Land Reclamation and Improvement 22, 87
• FAO (1985). Guidelines: land evaluation for irrigated agriculture. FAO Soils Bulletin, 55
• Fekadu E & Negese A (2020). GIS assisted suitability analysis for wheat and barley crops through AHP approach at Yikalo sub-watershed, Ethiopia. Cogent Food & Agriculture 6(1): 1-21. https://doi.org/10.1080/23311932.2020.1743623
• Ghosh S & Das A (2019). Urban expansion induced vulnerability assessment of east kolkata wetland using fuzzy MCDM method. Remote Sensing Applications: Society and Environment 13: 191–203. https://doi.org/10.1016/j.rsase.2018.10.014
• Gouareh A, Settou B & Settou N (2021). A new geographical information system approach based on best worst method and analytic hierarchy process for site suitability and technical potential evaluation for large-scale CSP on-grid plant: An application for Algeria territory. Energy Conversion and Management 235: 113963. https://doi.org/10.1016/j.enconman.2021.113963
• Guo S, Tang Y, Gao F, Ai W & Qin L (2008). Effects of low pressure and hypoxia on growth and development of wheat. Acta Astronautica, 63 (7-10): 1081-1085. https://doi.org/10.1016/j.actaastro.2008.02.006
• Günal H, Kılıç O M, Ersayın K & Acir N (2022). Land suitability assessment for wheat production using analytical hierarchy process in a semi-arid region of Central Anatolia. Geocarto International 37(27): 16418-16436. https://doi.org/10.1080/10106049.2022.2108911
• Habibie M I, Noguchi R, Shusuke M & Ahamed T (2021). Land suitability analysis for maize production in Indonesia using satellite remote sensing and GIS-based multicriteria decision support system. GeoJournal 86(2): 777–807. https://doi.org/10.1007/s10708-019-10091-5
• Hirzel J & Matus I (2013). Effect of soil depth and increasing fertilization rate on yield and its components of two durum wheat varieties. Chilean Journal of Agricultural Research 73(1): 55–59. https://doi.org/10.4067/S0718-58392013000100008
• Hossain M S & Das N G (2010). GIS-based multi-criteria evaluation to land suitability modelling for giant prawn (Macrobrachium rosenbergii) farming in Companigonj Upazila of Noakhali, Bangladesh. Computers and electronics in agriculture 70(1): 172-186. https://doi:10.1016/j.compag.2009.10.003
• Ircan M R (2020). Climate characteristics and drought analysis of Sanliurfa, MSc thesis, Cankiri Karatekin University Institute of Social Sciences, Cankiri (in Turkish).
• Jolánkai M, Kassai M K, Tarnawa Á, Pósa B & Birkás M (2018). Impact of precipitation and temperature on the grain and protein yield of wheat (Triticum aestivum L.) varieties. Időjárás= Quarterly Journal of the Hungarian Meteorological Service 122(1): 31-40. https://doi.org/10.28974/idojaras.2018.1.3
• Kapluhan E (2013). Drought and drought in Turkey effect of agriculture. Marmara Geographical Review (27): 487-510
• Karaca S, Dengiz O, Turan, I D, Ozkan B¸ Dedeoglu M, Gülser F, Sargin B, Demirkaya S & Ay, A (2021). An assessment of pasture soils quality based on multi-indicator weighting approaches in semi-arid ecosystem. Ecological Indicators 121: 107001. https://doi. org/10.1016/j.ecolind.2020.107001
• Karaca S, Sargin B, Alaboz P & Dengiz O (2023). Determination of soil quality characteristics with multi-criteria decision-making analysis- GIS in apple orchards in Van-Edremit district. Journal of Agriculture and Nature 26(2): 393-408. https://doi.org/10.18016/ksutarimdoga.vi.1074149
• Kasap Y & Subasi E (2017). Risk assessment of occupational groups working in open pit mining: analytic hierarchy process. Journal of Sustainable Mining 16(2): 38-46. https://doi.org/10.1016/j.jsm.2017.07.001
• Kılıc O M, Ersayin K, Gunal H, Khalofah A & Alsubeie M S (2022). Combination of fuzzy-AHP and GIS techniques in land suitability assessment for wheat (Triticumaestivum) cultivation. Saudi Journal of Biological Sciences 29(4): 2634-2644. https://doi.org/10.1016/j.sjbs.2021.12.050
• Komer P, Abraham A & Snášel V. (Eds.) (2014). Proceedings of the fifth international conference on innovations in bio-inspired computing and applications IBICA 2014 (Vol. 303). Springer
• Kursunoglu N & Onder M (2015). Selection of an appropriate fan for an underground coal mine using the analytic hierarchy process. Tunnelling and Underground Space Technology 48: 101–109. https://doi.org/10.1016/j.tust.2015.02.005
• Lopez R S, Fernandez, D G, Lopez J O S, Briceno N B R, Oliva M, Murga R E T, Trigoso D I, Castillo E B & Gurbillon M A B (2020). Land Suitability for Coffee (Coffeaarabica) Growing in Amazonas, Peru: Integrated Use of AHP, GIS and RS. ISPRS International Journal of Geo-Information 9(11): 1-21. https://doi.org/10.3390/ijgi9110673
• Lu G Y & Wong D W (2008). An adaptive inverse-distance weighting spatial interpolation technique. Computers & Geosciences 34(9): 1044– 1055. https://doi.org/10.1016/j.cageo.2007.07.010
• Maddahi Z, Jalalian A, Kheirkhah, Zarkesh, M M & Honarjo N (2017). Land suitability analysis for rice cultivation using a Gis-based fuzzy multi-criteria decision making approach: Central part of Amol district, Iran. Soil and Water Research 12(1): 29-38. https://doi.org/10.17221/1/2016-SWR
• Makar R S, Shahin S A & Abd El-Hady M (2024). Development of a parametric-based Analytical Hierarchy Process (AHP) utilizing Geographic Information Systems (GIS) for wheat land suitability evaluation. Journal of Applied and Natural Science 16(1): 390-399. https://doi.org/10.31018/jans.v16i1.5405
• Malczewski J (1999). GIS and Multicriteria Decision Analysis. John Wiley and Sons, New York
• Malczewski J (2004). GIS-based land-use suitability analysis: a critical overview. Progress in Planning 62(1): 3–65. https://doi.org/10.1016/j.progress.2003.09.002
• Mandal V P, Rehman S, Ahmed R, Masroor MD, Kumar P & Sajjad H (2020). Land suitability assessment for optimal cropping sequences in Katihar district of Bihar, India using GIS and AHP. Spatial Information Research 28: 589-599. https://doi.org/10.1007/s41324-020-00315-z
• Marijanović M, Markulj A, Tkalec M, Jozić A & Kovačević V (2010). Impact of precipitation and temperature on wheat (Triticum aestivum L.) yields in eastern Croatia. Acta Agriculturae Serbica 15(30): 117-123
• Massawe B H J, Kaaya A K, Winowiecki L & Slater B K (2019). Multi-criteria land evaluation for rice production using GIS and analytic hierarchy process in Kilombero Valley, Tanzania. Tanzania Journal of Agricultural Sciences 18(2): 88-98.
• Massimino D & Andre M (1999). Growth of wheat under one tenth of the atmospheric pressure. Advances in Space Research 24(3): 293- 296. https://doi.org/10.1016/S0273-1177(99)00316-6
• Mendas A & Delali A (2012). Integration of MultiCriteria Decision Analysis in GIS to develop land suitability for agriculture: Application to durum wheat cultivation in the region of Mleta in Algeria. Computers and Electronics in Agriculture 83: 117-126. https://doi:10.1016/j.compag.2012.02.003
• Mokarram M & Mirsoleimani A (2018). Using Fuzzy-AHP and order weight average (OWA) methods for land suitability determination for citrus cultivation in ArcGIS (Case study: Fars province, Iran). Physica A: Statistical Mechanics and its Applications 508: 506-518. https://doi.org/10.1016/j.physa.2018.05.062
• Morelli F (2011). Importance of road proximity for the nest site selection of the Red-backed shrike (Lanius collurio) in an agricultural environment in central Italy. Journal of Mediterranean Ecology 11: 21–29
• Mutlu M & Sari M (2017). Multı-crıterıa decision-making methods and use of in mining industry. Scientific Mining Journal 56(4): 181–196. https://doi.org/10.30797/madencilik.391953
• Mutlu M & Sari M (2022). Risk-based classification of underground coal mine basins in Turkey using the analytic hierarchy process (AHP). Arabian Journal of Geosciences 15(8): 752. https://doi.org/10.1007/s12517-022-10005-9
• Mutlu M & Cetin N C, Onder S (2024) A novel risk assessment approach for open-cast coal mines using hybrid MCDM models with interval type-2 fuzzy sets: A Case study in Türkiye. Systems 12(8): 267. https://doi.org/10.3390/systems12080267
• Myagmartseren P, Buyandelger M & Brandt S A (2017). Implications of a spatial multicriteria decision analysis for urban development in Ulaanbaatar, Mongolia. Mathematical Problems in Engineering 1: 2819795. https://doi.org/10.1155/2017/281979
• Orhan O (2021) Land suitability determination for citrus cultivation using a GIS based multi-criteria analysis in Mersin, Turkey. Computers and Electronics in Agriculture 190: 106433. https://doi.org/10.1016/j.compag.2021.106433
• Orhan O & Makineci H B (2023). Agricultural land suitability analysis. in encyclopedia of smart agriculture technologies (pp. 1-9). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-89123-7_270-1
• Ostovari Y, Honarbakhsh A, Sangoony H, Zolfaghari F, Maleki K & Ingram B (2019). GIS and multi-criteria decision-making analysis assessment of land suitability for rapeseed farming in calcareous soils of semi-arid regions. Ecological Indicators 103: 479-487. https://doi.org/10.1016/j.ecolind.2019.04.051
• Otgonbayar M, Atzberger C, Chambers J, Amarsaikhan D, Böck S & Tsogtbayar J (2017). Land suitability evaluation for agricultural cropland in Mongolia using the spatial MCDM method and AHP based GIS. Journal of Geoscience and Environment Protection 5(9): 238-263. https://doi.org/10.4236/gep.2017.59017
• Ozegin K O, Ilugbo S O & Akande O N (2024). Leveraging geospatial technology and AHP for groundwater potential zonation in parts of South and North-Central Nigeria. Sustainable Water Resources Management 10(4): 146. https://doi.org/10.1007/s40899-024-01124-0
• Ozsahin E & Ozdes M (2022). Agricultural land suitability assessment for agricultural productivity based on GIS modeling and multi-criteria decision analysis: the case of Tekirdağ province. Environmental Monitoring and Assessment 194(1): 41. https://doi.org/10.1007/s10661- 021-09663-1
• Pathan A I, Agnihotri P G & Patel D (2022). Integrated approach of AHP and TOPSIS (MCDM) techniques with GIS for dam site suitability mapping: a case study of Navsari City, Gujarat, India. Environmental Earth Sciences 81(18): 443. https://doi.org/10.1007/s12665-022- 10568-6
• Pilevar A R, Matinfar H R, Sohrabi A & Sarmadian F (2020). Integrated fuzzy, AHP and GIS techniques for land suitability assessment in semi-arid regions for wheat and maize farming. Ecological Indicators 110: 105887. https://doi.org/10.1016/j.ecolind.2019.105887
• Prakash T N (2003). Land suitability analysis for agricultural crops: a fuzzy multicriteria decision making approach. Enchede, The Netherlands: ITC
• Pramanik M K (2016). Site suitability analysis for agricultural land use of Darjeeling district using AHP and GIS techniques. Modeling Earth Systems and Environment 2: 1-22. https://doi.org/10.1007/s40808-016-0116-8
• Porter J R & Gawith M (1999). Temperatures and the growth and development of wheat: a review. European Journal of Agronomy 10(1): 23- 36
• Rahmouni S, Negrou B, Settou N, Dominguez J & Gouareh A (2017). Prospects of hydrogen production potential from renewable resources in Algeria. International Journal of Hydrogen Energy 42(2): 1383-1395. https://doi.org/10.1016/j. ijhydene.2016.07.214
• Rangzan K, Kabolizadeh M, Zaheri Abdehvand Z, Karimi D, Jafarnejadi A, Mokarram M (2024). Optimized Land Suitability Mapping for Wheat Cultivation by Integrating Fuzzy Hierarchical Analysis and Satellite Images. Journal of the Indian Society of Remote Sensing 52(5): 1135-1151. https://doi.org/10.1007/s12524-024-01863-9
• Rhoton F E & Lindbo D L (1997). A soil depth approach to soil quality assessment. Journal of Soil and Water Conservation, 52 (1)
• Rodríguez-Puebla C, Ayuso S M, Frias M D & Garcia-Casado L A (2007). Effects of climate variation on winter cereal production in Spain. Climate Research 34 (3): 223-232
• Roy J & Saha S (2018). Assessment of land suitability for the paddy cultivation using analytical hierarchical process (AHP): A study on Hinglo river basin, Eastern India. Modeling Earth Systems and Environment 4: 601-618. https://doi.org/10.1007/s40808-018-0467-4.
• Saaty T L (1977). A scaling method for priorities in hierarchical structures. J. Math. Psychol. 15 (3): 234-281. https://doi.org/10.1016/0022- 2496(77)90033-5.
• Saaty T L (1980). The Analytic Hierarchy Process. McGraw Hill, New York, USA
• Saaty T L (1990). How to make a decision: The analytic hierarchy process. Eur. J. Oper. Res. 48(1): 9-26. https://doi.org/10.1016/0377- 2217(90)90057-I
• Saaty T L, Vargas L G & Dellman K (2003). The allocation of intangible resources: the analytic hierarchy process and linear programming. Socio-Eco Plan Sci. 37: 169-189. https://doi.org/10.1016/S0038-0121(02)00039-3
• Salifu E, Agyare W A & Abdul-ganiyu S (2022). Evaluation of land suitability for crop production in Northern Ghana using GIS and AHP based techniques. International Journal of Environment and Geoinformatics 9(4): 46-56. https://doi. 10.30897/ijegeo.1022275
• Sandhu S K & Dhaliwal L K (2016). Crop geometry effects on relative humidity variation within wheat crop
• Sarğın B & Karaca S (2023). Land suitability assessment for wheat-barley cultivation in a semi-arid region of eastern Anatolia in Turkey. PeerJ, 11, e16396. https://doi.org/10.7717/peerj.16396
• Sarğın B, Alaboz P, Karaca S & Dengiz O (2024). Pythagorean fuzzy SWARA weighting technique for soil quality modeling of cultivated land in semi-arid terrestrial ecosystems. Computers and Electronics in Agriculture, 227, 109466. https://doi.org/10.1016/j.compag.2024.109466
• Sarkar B, Das P, Islam N, Basak A, Debnath M & Roy R (2022). Land suitability analysis for paddy crop using GIS-based fuzzy- ahp(F-AHP) method in koch bihar district, west bengal. Geocarto International 37(25): 8952-8978. https://doi.org/10.1080/10106049.2021.2007299
• Sarkar D, Saha S & Mondal P (2023). Modelling agricultural land suitability for vegetable crops farming using RS and GIS in conjunction with bivariate techniques in the Uttar Dinajpur district of Eastern India. Green Technologies and Sustainability, 1(2): 100022. https://doi.org/10.1016/j.grets.2023.100022
• Sathiyamurthi S, Saravanan S, Sankriti R, Aluru M, Sivaranjani S & Srivel R (2024). Integrated GIS and AHP techniques for land suitability assessment of cotton crop in Perambalur District, South India. International Journal of System Assurance Engineering and Management 15(1): 267-278. https://doi.org/10.1007/s13198-022-01705-2
• Sauer T, Havlik P, Schneider U A, Schmid E, Kindermann G & Obersteiner M (2010). Agriculture and resource availability in a changingworld: The role of irrigation. Water Resources Research 46(6): 1-12. https://doi.org/10.1029/2009WR007729
• Sengupta S, Mohinuddin S, Arif M, Sengupta B & Zhang W (2022). Assessment of agricultural land suitability using GIS and fuzzy analytical hierarchy process approach in ranchi district, India. Geocarto International 37(26): 13337-13368. https://doi.org/10.1080/10106049.2022.2076925
• Shenavr B & Hosseini S M (2014). Comparison of multi-criteria evaluation (AHP and WLC approaches) for land capability assessment of urban development in GIS. International Journal of Geomatics and Geosciences 4(3): 435-446
• Souidi H, Ouadif L, Bahi L, Edderkaoui R, Jaouda I, Bahi Y & Belhaj S (2020). Research of suitability area of agriculture in coastal CHAOUIA by integration the AHP, IDW, and MCDA to GIS. In E3S web of conferences (Vol. 150, p. 03009). EDP Sciences. https://doi.org/10.1051/e3sconf/202015003009
• Sys C, Van Ranst E & Debaveye I J (1991). Landevaluation. part II: methods in land evaluation. General administration for development cooperation,247. Agricultural publication-No. 7
• Tadesse M & Negese A (2020). Land suitability evaluation for sorghum crop by using GIS and AHP techniques in agamsa sub-watershed. Ethiopia, Cogent Food Agric. 6(1): 1-18. https://doi.org/10.1080/23311932.2020.1743624
• Tarhan S & Dellal İ (2021). The effect of soil products office purchasing policies on wheat production practices of producers: the case of Ankara province Gölbaşı district, Agriculture Engineering, 373:19-28. https://doi.org/10.33724/zm.891801
• Tashayo B, Honarbakhsh A, Akbari M & Eftekhari M (2020). Land suitability assessment for maize farming using a GIS-AHP method for a semi- arid region, Iran. J Saudi Soc Agric Sci 19(5): 332-338. https://doi.org/10.1016/j.jssas.2020.03.003
• Tercan E & Dereli M A (2020). Development of a land suitability model for citrus cultivation using GIS and multi-criteria assessment techniques in Antalya province of Turkey. Ecol. Indic., 117, 106549
• Tuğaç M G (2021). GIS-based land suitability classification for wheat cultivation using fuzzy set model. International Journal of Agriculture Environment and Food Sciences 5(4): 524-536. https://doi.org/10.31015/jaefs.2021.4.12
• RTMAF (2015). Republic of Turkey Ministry of Agriculture and Forestry. Ankara provincial directorate, Turkey https://ankara.tarimorman.gov.tr/Belgeler/liftet/bugdayyetistiriciligi.pdf (accessed 10 Feb 2022)
• Wali E, Datta A, Shrestha R P & Shrestha S (2016). Development of a land suitability model for saffron (Crocus sativus L.) cultivation in Khost Province of Afghanistan using GIS and AHP techniques, Archives of Agronomy and Soil Science 62(7): 921-934. https://doi.org/10.1080/03650340.2015.1101519
• Wang Y C, Lu Y H, Chiang L C & Hsu C C (2023). Assessing crop suitability of rice, wheat, and maize on agricultural lands in Taiwan. Natural Resources Research 32(2): 813-834. https://doi.org/10. 1007/s11053-023-10162-y
• Wind Y & Saaty T L (1980). Marketing applications of the analytic hierarchy process. Management Science 26(7): 641-658. https://doi.org/10.1287/mnsc.26.7.641
• Worqlul A W, Jeong J, Dile Y T, Osorio J, Schmitter P, Gerik T, Srinivasan R & Clark N (2017). Assessing potential land suitable for surface irrigation using groundwater in Ethiopia. Applied Geography 85:1–13. https://doi.org/10.1016/j.apgeog.2017.05.010
• Yoon K P & Hwang C L (1995). Multiple Attribute Decision Making: An Introduction 104. Sage publications, London
• Zhang X, Fang C, Wang Z & Ma H (2013). Urban construction land suitability evaluation based on improved multi-criteria evaluation based on GIS (MCE-GIS): Case of New Hefei City Chinese Geographical Science 6: 740–753. https://doi.org/10.1007/s11769-013-0609-6
• Zhang J, Su Y, Wu J & Liang H (2015). GIS based land suitability assessment for tobacco production using AHP and fuzzy set in Shandong province of China. Computers Electronics in Agriculture 114: 202–211. https://doi.org/10.1016/j.compag.2015.04.004