Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2021, Cilt: 6 Sayı: 2, 64 - 73, 01.07.2021
https://doi.org/10.26833/ijeg.683754

Öz

Kaynakça

  • Akar A & Gökalp E (2018). Designing a sustainable rangeland information system for Turkey. International Journal of Engineering and Geosciences (IJEG), 3(3), 87-97
  • Arentze T A & Timmermans H J P (2000) ALBATROSS: A learning-based transportation oriented simulation system. 1-23
  • Cauwenbergh NV, Biala K, Bielders C, Brouckaert V, et al. (2007). SAFE – a hierarchical framework for assessing the sustainability of agricultural systems. Agriculture, Ecosystems and Environment, 120 (2– 4), 229–242
  • Ceballos-Silva A & Lopez-Blanco J (2003a). Delineation of suitable areas for crops using a Multi-Criteria Evaluation approach and land use/cover mapping: a case study in Central Mexico. Agricultural Systems 77(2), 117–136. DOI: 10.1016/S0308-521X(02)00103-8
  • Ceballos-Silva A & López-Blanco J (2003b). Evaluating biophysical variables to identify suitable areas for oat in Central Mexico: a multi-criteria and GIS approach. Agriculture, Ecosystems and Environment, 95, 371–377.
  • Chavez M D, Berentsen P B M & Lansink O (2012). Assessment of criteria and farming activities for tobacco diversification using the Analytical Hierarchical Process (AHP) technique. Agricultural Systems 111, 53–62. DOI: 10.1016/j.agsy.2012.05.006
  • Chen Y, Yu J & Khan S (2010). Spatial sensitivity analysis of multi-criteria weights in GIS-based land suitability evaluation. Environmental Modelling & Software 25(12), 1582-1591. DOI: 10.1016/j.envsoft.2010.06.001
  • Chuong H V (2007). Multi-criteria land suitability evaluation for selected fruit crops in Hilly region of central Vietnam. PHD Thesis, Humboldt University, Berlin, Germany.
  • Cobuloglu H I & Buyuktahtakın I E (2015). A stochastic multi-criteria decision analysis for sustainable biomass crop selection. Expert Systems with Applications 42(15-16), 6065–6074. DOI: 10.1016/j.eswa.2015.04.006
  • Confalonieri R, Francone C, Cappelli G, Stella T et al. (2013). A multi-approach software library for estimating crop suitability to environment. Computers and Electronics in Agriculture 90, 170–175. DOI: 10.1016/j.compag.2012.09.016
  • Diaby M, Valognes F & Clement-Demange A (2010). A multicriteria decision approach for selecting hevea clones in Africa. Biotechnology, Agronomy, Society and Environment,14(2), 299–309.
  • Dinh L C & Duc T T (2012). Integration of GIS, Group Ahp and Topsis in evaluating sustainable land-use management. International Symposium on Geoinformatics for Spatial Infrastructure Development in Earth and Allied Sciences, Ho Chi Minh, Vietnam.
  • Elaalem M (2013). A comparison of parametric and fuzzy multi-criteria methods for evaluating land suitability for olive in Jeffara Plain of Libya. APCBEE Procedia 5, 405 – 409. Dubai, UAE
  • Eliasson A, Jones R J A, Nachtergaele F, Rossiter D G et al. (2010). Common criteria for the redefinition of intermediate less favoured areas in the European Union. Environmental Science & Policy, 13(8), 766–777.
  • Elsheikh R, Shariff A R B M, Amiri F, Ahmad N B, Balasundram K S & Soom M A M (2013). Agriculture land suitability evaluator (ALSE): A decision and planning support tool for tropical and subtropical crops. Computers and Electronics in Agriculture 93, 98–110. DOI: 10.1016/j.compag.2013.02.003
  • FAO (1976). A framework for land evaluation. Soils Bulletin 32. FAO, Rome. ISBN 92 5 100111-1.
  • Ramírez-García J, Carrillo J M, Ruiz M, Alonso-Ayuso M & Quemada M (2015). Multicriteria decision analysis applied to cover crop species and cultivars selection. Field Crops Research, 175,106-115. DOI: 10.1016/j.fcr.2015.02.008
  • Hayashi K (2000). Multicriteria analysis for agricultural resource management: a critical survey and future perspectives. European Journal of Operational Research, 122(2), 486–500. DOI: 10.1016/S0377-2217(99)00249-0
  • Hwang C L & Yoon K (1981). Multiple Attribute Decision Making—Methods and Applications, 186, Springer, Berlin, Heidelberg. ISBN 978-3-642-48318-9
  • Joerin F, Theriault M & Musy A (2001). Using GIS and outranking multi-criteria analysis for land-use suitability assessment. International Journal of Geographical Information Science, 15 (2), 153–174. DOI: 10.1080/13658810051030487
  • Kazemi H, Sadeghi S & Akinci H (2016). Developing a land evaluation model for faba bean cultivation using geographic information system and multi-criteria analysis (A case study: Gonbad-Kavous region, Iran). Ecological Indicators, 63, 37–47. DOI: 10.1016/j.ecolind.2015.11.021
  • Li Y Y, Wang X R & Huang C L (2011). Key street tree species selection in urban areas. African Journal of Agricultural Research, 6(15), 3539–3550. DOI: 10.5897/AJAR11.461
  • Peters M L & Zelewski S (2007). TOPSIS as a technology for efficiency analysis. Zeitschrift für Ausbildung und Hochschulkontakt, 36(1), 1-9. (In Deutsch).
  • Prakash T N (2003). Land Suitability Analysis for Agricultural Crops: A Fuzzy Multicriteria Decision Making Approach. MS Thesis, International Institute for Geo-information Science and Earth Observation. Netherlands.
  • Radulescu C Z, Radulescu M, Rahoveanu A T, Rahoveanu MT & Beciu S (2011). A multi-criteria approach for assessment of agricultural systems in context of sustainable agriculture. Recent Researches in Applied Informatics, 167-171.
  • Radulescu C Z, Rahoveanu A T & Radulescu M (2010). A hybrid multi-criteria method for performance evaluation of romanian South Muntenia Region in context of sustainable agriculture. Proceedings of the International Conference on Applied Computer Science (ACS), 1, 303-308.
  • Rigby D, Woodhouse P, Young T & Burton M (2001). Constructing a farm level indicator of sustainable practice. Ecological Economics 39(3), 463– 478.
  • Roudeillac P, Faedi W & Lavialle O (1997). A multicriteria decision aid to determine the genetic performance of strawberry through a varietal observatory network in Western Europe. Acta Horticulturae, 439, 307–317.
  • Saaty T L (1977). A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology, 15(3), 234–281.
  • Saaty T L (1994). Fundamentals of decision making and priority theory with the analytical hierarchy process. RWS Publucations, Pittsburg, 69-84. ISBN: 9780962031762
  • Saaty T L (2001) Decision Making with Dependence and Feedback: The Analytic Network Process, 2nd edition, PRWS Publications, Pittsburgh PA. ISBN: 9780962031793
  • Saaty T L & Vargas L G (1991). Prediction, Projection and Forecasting. Springer Netherlands. ISBN 978-94-015-7954-4
  • Sadok W, Angevin F, Bergez J, Bockstaller C et al. (2008). Ex ante assessment of the sustainability of alternative cropping systems: implications for using multi-criteria decision-aid methods. A review. Agronamy and Sustainable Development, 28, 163–174. DOI: 10.1051/agro:2007043
  • Sarı F, Ceylan D A, Özcan M M & Özcan M M (2020). A comparison of multicriteria decision analysis techniques for determining beekeeping suitability. Apidologie. DOI: 10.1007/s13592-020-00736-7.
  • Srdjevic B, Srdjevic Z, Kolarov V (2004). Group evaluation of walnut cultivars as a multi criterion decision-making process. CIGR International Conference, Beijing, China.
  • Wang F, Hall G B, Subaryono (1990). Fuzzy information representation and processing in conventional GIS software: data base design and application. International Journal of Geographical Information System, 4(3), 261–283. DOI: 10.1080/02693799008941546
  • Thapa R B, Murayama Y (2008). Land evaluation for peri-urban agriculture using analytical hierarchical process and geographic information system techniques: A case study of Hanoi. Land use policy, 25(2), 225-239. DOI: 10.1016/j.landusepol.2007.06.004
  • Triantaphyllou E (2000). Multi-criteria decision making methods: A comparative study, 44, Springer, Boston, MA. ISBN: 978-1-4757-3157-6
  • Yu J, Chen Y, Wu J, Khan S (2011). Cellular automata-based spatial multi-criteria land suitability simulation for irrigated agriculture. International Journal of Geographical Information Science, 25 (1), 131–148.
  • Zeleny M (1982). Multiple Criteria Decision-making. McGraw-Hill, New York, NY, 563 pages. ISBN: 9780070727953
  • URL 1. Turkish Statistical Institute Official web site. https://biruni.tuik.gov.tr/medas/?kn=92&locale=tr (Accessed date: 18.05.2020)
  • URL 2. FAO Official web site. Available at “http://www.fao.org/3/x5648e/x5648e0j.htm (Accessed date: 18.05.2020).
  • Zolekar R B & Bhagat V S (2015). Multi-criteria land suitability analysis for agriculture in hilly zone: Remote sensing and GIS approach. Computers and Electronics in Agriculture, 118, 300–321.

Multi criteria decision analysis to determine the suitability of agricultural crops for land consolidation areas

Yıl 2021, Cilt: 6 Sayı: 2, 64 - 73, 01.07.2021
https://doi.org/10.26833/ijeg.683754

Öz

Crop selection for sustainable and effective agricultural land management has to take into accounts several issues such as chemical, physical, environmental, economic and social conditions. Especially after land consolidation projects, sustainable agricultural crop management should be investigated for each crop which are suitable for the project area to benefit from the land consolidation contributions such as irrigation, roads, modified parcel boundaries and surfaces. Thus, Geographical Information Systems (GIS) aided suitability analysis techniques are required to determine the suitable crops for the consolidated areas. In this study, Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) multi-criteria decision techniques are integrated with GIS to determine most suitable crops for parcels. The suitability maps of wheat, clover, sugar beet and corn crops are generated for the projected area using 63 Land Mapping Units (LMU) with considering pH, lime, texture, salinity, organic matter, electrical conductivity, permeability, slope, aspect and the distance to settlements and roads within chemical, physical, topological and socio-economic criteria.

Kaynakça

  • Akar A & Gökalp E (2018). Designing a sustainable rangeland information system for Turkey. International Journal of Engineering and Geosciences (IJEG), 3(3), 87-97
  • Arentze T A & Timmermans H J P (2000) ALBATROSS: A learning-based transportation oriented simulation system. 1-23
  • Cauwenbergh NV, Biala K, Bielders C, Brouckaert V, et al. (2007). SAFE – a hierarchical framework for assessing the sustainability of agricultural systems. Agriculture, Ecosystems and Environment, 120 (2– 4), 229–242
  • Ceballos-Silva A & Lopez-Blanco J (2003a). Delineation of suitable areas for crops using a Multi-Criteria Evaluation approach and land use/cover mapping: a case study in Central Mexico. Agricultural Systems 77(2), 117–136. DOI: 10.1016/S0308-521X(02)00103-8
  • Ceballos-Silva A & López-Blanco J (2003b). Evaluating biophysical variables to identify suitable areas for oat in Central Mexico: a multi-criteria and GIS approach. Agriculture, Ecosystems and Environment, 95, 371–377.
  • Chavez M D, Berentsen P B M & Lansink O (2012). Assessment of criteria and farming activities for tobacco diversification using the Analytical Hierarchical Process (AHP) technique. Agricultural Systems 111, 53–62. DOI: 10.1016/j.agsy.2012.05.006
  • Chen Y, Yu J & Khan S (2010). Spatial sensitivity analysis of multi-criteria weights in GIS-based land suitability evaluation. Environmental Modelling & Software 25(12), 1582-1591. DOI: 10.1016/j.envsoft.2010.06.001
  • Chuong H V (2007). Multi-criteria land suitability evaluation for selected fruit crops in Hilly region of central Vietnam. PHD Thesis, Humboldt University, Berlin, Germany.
  • Cobuloglu H I & Buyuktahtakın I E (2015). A stochastic multi-criteria decision analysis for sustainable biomass crop selection. Expert Systems with Applications 42(15-16), 6065–6074. DOI: 10.1016/j.eswa.2015.04.006
  • Confalonieri R, Francone C, Cappelli G, Stella T et al. (2013). A multi-approach software library for estimating crop suitability to environment. Computers and Electronics in Agriculture 90, 170–175. DOI: 10.1016/j.compag.2012.09.016
  • Diaby M, Valognes F & Clement-Demange A (2010). A multicriteria decision approach for selecting hevea clones in Africa. Biotechnology, Agronomy, Society and Environment,14(2), 299–309.
  • Dinh L C & Duc T T (2012). Integration of GIS, Group Ahp and Topsis in evaluating sustainable land-use management. International Symposium on Geoinformatics for Spatial Infrastructure Development in Earth and Allied Sciences, Ho Chi Minh, Vietnam.
  • Elaalem M (2013). A comparison of parametric and fuzzy multi-criteria methods for evaluating land suitability for olive in Jeffara Plain of Libya. APCBEE Procedia 5, 405 – 409. Dubai, UAE
  • Eliasson A, Jones R J A, Nachtergaele F, Rossiter D G et al. (2010). Common criteria for the redefinition of intermediate less favoured areas in the European Union. Environmental Science & Policy, 13(8), 766–777.
  • Elsheikh R, Shariff A R B M, Amiri F, Ahmad N B, Balasundram K S & Soom M A M (2013). Agriculture land suitability evaluator (ALSE): A decision and planning support tool for tropical and subtropical crops. Computers and Electronics in Agriculture 93, 98–110. DOI: 10.1016/j.compag.2013.02.003
  • FAO (1976). A framework for land evaluation. Soils Bulletin 32. FAO, Rome. ISBN 92 5 100111-1.
  • Ramírez-García J, Carrillo J M, Ruiz M, Alonso-Ayuso M & Quemada M (2015). Multicriteria decision analysis applied to cover crop species and cultivars selection. Field Crops Research, 175,106-115. DOI: 10.1016/j.fcr.2015.02.008
  • Hayashi K (2000). Multicriteria analysis for agricultural resource management: a critical survey and future perspectives. European Journal of Operational Research, 122(2), 486–500. DOI: 10.1016/S0377-2217(99)00249-0
  • Hwang C L & Yoon K (1981). Multiple Attribute Decision Making—Methods and Applications, 186, Springer, Berlin, Heidelberg. ISBN 978-3-642-48318-9
  • Joerin F, Theriault M & Musy A (2001). Using GIS and outranking multi-criteria analysis for land-use suitability assessment. International Journal of Geographical Information Science, 15 (2), 153–174. DOI: 10.1080/13658810051030487
  • Kazemi H, Sadeghi S & Akinci H (2016). Developing a land evaluation model for faba bean cultivation using geographic information system and multi-criteria analysis (A case study: Gonbad-Kavous region, Iran). Ecological Indicators, 63, 37–47. DOI: 10.1016/j.ecolind.2015.11.021
  • Li Y Y, Wang X R & Huang C L (2011). Key street tree species selection in urban areas. African Journal of Agricultural Research, 6(15), 3539–3550. DOI: 10.5897/AJAR11.461
  • Peters M L & Zelewski S (2007). TOPSIS as a technology for efficiency analysis. Zeitschrift für Ausbildung und Hochschulkontakt, 36(1), 1-9. (In Deutsch).
  • Prakash T N (2003). Land Suitability Analysis for Agricultural Crops: A Fuzzy Multicriteria Decision Making Approach. MS Thesis, International Institute for Geo-information Science and Earth Observation. Netherlands.
  • Radulescu C Z, Radulescu M, Rahoveanu A T, Rahoveanu MT & Beciu S (2011). A multi-criteria approach for assessment of agricultural systems in context of sustainable agriculture. Recent Researches in Applied Informatics, 167-171.
  • Radulescu C Z, Rahoveanu A T & Radulescu M (2010). A hybrid multi-criteria method for performance evaluation of romanian South Muntenia Region in context of sustainable agriculture. Proceedings of the International Conference on Applied Computer Science (ACS), 1, 303-308.
  • Rigby D, Woodhouse P, Young T & Burton M (2001). Constructing a farm level indicator of sustainable practice. Ecological Economics 39(3), 463– 478.
  • Roudeillac P, Faedi W & Lavialle O (1997). A multicriteria decision aid to determine the genetic performance of strawberry through a varietal observatory network in Western Europe. Acta Horticulturae, 439, 307–317.
  • Saaty T L (1977). A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology, 15(3), 234–281.
  • Saaty T L (1994). Fundamentals of decision making and priority theory with the analytical hierarchy process. RWS Publucations, Pittsburg, 69-84. ISBN: 9780962031762
  • Saaty T L (2001) Decision Making with Dependence and Feedback: The Analytic Network Process, 2nd edition, PRWS Publications, Pittsburgh PA. ISBN: 9780962031793
  • Saaty T L & Vargas L G (1991). Prediction, Projection and Forecasting. Springer Netherlands. ISBN 978-94-015-7954-4
  • Sadok W, Angevin F, Bergez J, Bockstaller C et al. (2008). Ex ante assessment of the sustainability of alternative cropping systems: implications for using multi-criteria decision-aid methods. A review. Agronamy and Sustainable Development, 28, 163–174. DOI: 10.1051/agro:2007043
  • Sarı F, Ceylan D A, Özcan M M & Özcan M M (2020). A comparison of multicriteria decision analysis techniques for determining beekeeping suitability. Apidologie. DOI: 10.1007/s13592-020-00736-7.
  • Srdjevic B, Srdjevic Z, Kolarov V (2004). Group evaluation of walnut cultivars as a multi criterion decision-making process. CIGR International Conference, Beijing, China.
  • Wang F, Hall G B, Subaryono (1990). Fuzzy information representation and processing in conventional GIS software: data base design and application. International Journal of Geographical Information System, 4(3), 261–283. DOI: 10.1080/02693799008941546
  • Thapa R B, Murayama Y (2008). Land evaluation for peri-urban agriculture using analytical hierarchical process and geographic information system techniques: A case study of Hanoi. Land use policy, 25(2), 225-239. DOI: 10.1016/j.landusepol.2007.06.004
  • Triantaphyllou E (2000). Multi-criteria decision making methods: A comparative study, 44, Springer, Boston, MA. ISBN: 978-1-4757-3157-6
  • Yu J, Chen Y, Wu J, Khan S (2011). Cellular automata-based spatial multi-criteria land suitability simulation for irrigated agriculture. International Journal of Geographical Information Science, 25 (1), 131–148.
  • Zeleny M (1982). Multiple Criteria Decision-making. McGraw-Hill, New York, NY, 563 pages. ISBN: 9780070727953
  • URL 1. Turkish Statistical Institute Official web site. https://biruni.tuik.gov.tr/medas/?kn=92&locale=tr (Accessed date: 18.05.2020)
  • URL 2. FAO Official web site. Available at “http://www.fao.org/3/x5648e/x5648e0j.htm (Accessed date: 18.05.2020).
  • Zolekar R B & Bhagat V S (2015). Multi-criteria land suitability analysis for agriculture in hilly zone: Remote sensing and GIS approach. Computers and Electronics in Agriculture, 118, 300–321.
Toplam 43 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Articles
Yazarlar

Fatih Sarı 0000-0001-8674-9028

Fatma Koyuncu 0000-0001-5829-0061

Yayımlanma Tarihi 1 Temmuz 2021
Yayımlandığı Sayı Yıl 2021 Cilt: 6 Sayı: 2

Kaynak Göster

APA Sarı, F., & Koyuncu, F. (2021). Multi criteria decision analysis to determine the suitability of agricultural crops for land consolidation areas. International Journal of Engineering and Geosciences, 6(2), 64-73. https://doi.org/10.26833/ijeg.683754
AMA Sarı F, Koyuncu F. Multi criteria decision analysis to determine the suitability of agricultural crops for land consolidation areas. IJEG. Temmuz 2021;6(2):64-73. doi:10.26833/ijeg.683754
Chicago Sarı, Fatih, ve Fatma Koyuncu. “Multi Criteria Decision Analysis to Determine the Suitability of Agricultural Crops for Land Consolidation Areas”. International Journal of Engineering and Geosciences 6, sy. 2 (Temmuz 2021): 64-73. https://doi.org/10.26833/ijeg.683754.
EndNote Sarı F, Koyuncu F (01 Temmuz 2021) Multi criteria decision analysis to determine the suitability of agricultural crops for land consolidation areas. International Journal of Engineering and Geosciences 6 2 64–73.
IEEE F. Sarı ve F. Koyuncu, “Multi criteria decision analysis to determine the suitability of agricultural crops for land consolidation areas”, IJEG, c. 6, sy. 2, ss. 64–73, 2021, doi: 10.26833/ijeg.683754.
ISNAD Sarı, Fatih - Koyuncu, Fatma. “Multi Criteria Decision Analysis to Determine the Suitability of Agricultural Crops for Land Consolidation Areas”. International Journal of Engineering and Geosciences 6/2 (Temmuz 2021), 64-73. https://doi.org/10.26833/ijeg.683754.
JAMA Sarı F, Koyuncu F. Multi criteria decision analysis to determine the suitability of agricultural crops for land consolidation areas. IJEG. 2021;6:64–73.
MLA Sarı, Fatih ve Fatma Koyuncu. “Multi Criteria Decision Analysis to Determine the Suitability of Agricultural Crops for Land Consolidation Areas”. International Journal of Engineering and Geosciences, c. 6, sy. 2, 2021, ss. 64-73, doi:10.26833/ijeg.683754.
Vancouver Sarı F, Koyuncu F. Multi criteria decision analysis to determine the suitability of agricultural crops for land consolidation areas. IJEG. 2021;6(2):64-73.

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