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Land Suitability Assessment for Wheat Production Using Analytical Hierarchy Process and Parametric Method in Babylon Province

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Języki publikacji
EN
Abstrakty
EN
This study was carried out to show the extent to which the land is productive due to the effect that climatic changes and the increase in population growth are the reasons that led to an increase in the demand for food, especially in developing countries. Therefore, a scientific way must assess the land suitability for growing crops. This research aimed to provide an integrated approach to the process of analyzing the suitability of agricultural lands for crop growth. Wheat in the Nile region of Babylon Governorate, was studied using the analytical hierarchy model (AHP) and compared with the parametric method and the actual crop in the field, as twelve soil criteria were determined (electrical conductivity, soil interaction, cation exchange capacity, exchangeable sodium ratio, soil texture, lime, gypsum, organic carbon, drainage, soil depth, slope, flooding) and three criteria were added in the AHP method due to their importance in Iraqi soils, which are (total nitrogen, availability phosphorus, crop variety). The results were extracted and showed that all the results of the study using the parametric method within the very unsuitable class for cultivation, N2, 72.5%, with an area of 37,734.07 hectares, and the unsuitable class, N1, 27.5%, with an area of 14,312.92 hectares, either by using the method. According to the analytical hierarchy process and giving varying importance to the soil criteria above, it was found that 37.5% are very suitable S1 with an area of 19517.62 hectares, 42.5% suitable for agriculture S2 with an area of 22119.97 hectares, and 20% moderately suitable S3 with an area of 10409.4 hectares. These results were similar to the agricultural reality of the regions under study.
Słowa kluczowe
Rocznik
Strony
75--87
Opis fizyczny
Bibliogr. 37 poz., rys., tab.
Twórcy
  • College of Agriculture Engineering Science, Baghdad University, Baghdad, Iraq
  • College of Agriculture, Al-Qasim Green University, Babylon, Iraq
  • College of Agriculture Engineering Science, Baghdad University, Baghdad, Iraq
Bibliografia
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  • 3. Akinci, H., Ozalp, A.Y., Turgut, B. 2013. Agricultural land suitability analysis using GIS and AHP technique. Comput. Electron. Agric., 97, 71–82.
  • 4. Al-Jubouri, A.K., Wheib, K.A. 2020. Effect of soil salinity on spectral reflectance of red and NIR wavelengths in al-salamiyat project. Plant Arch, 20, 1359–1365.
  • 5. AL-Obaidi, M.A.J. 2023. The effect of soil burning on the chemical and physical properties of soil and potassium status in northern Iraq. Eastern Journal of Agricultural and Biological Sciences, 3(1), 17–29.
  • 6. Banai R. 2005. Land resource sustainability for urban development: spatial decision support system prototype. Environ Manag, 36(2), 282–296.
  • 7. Dedeoğlu, M., Dengiz, O. 2019. Generating of land suitability index for wheat with hybrid system aproach using AHP and GIS. Computers and Electronics in Agriculture, 167, 105062.
  • 8. Dedeoğlu, M., Dengiz, O. 2019. Generating of land suitability index for wheat with hybrid system aproach using AHP and GIS. Computers and Electronics in Agriculture, 167, 105062.
  • 9. Dumanski, J., Bindraban, P.S., Pettapiece, W.W., Bullock, P., Jones, R.J.A., Thomasson, A. 2002. Land classification, sustainable land management, and ecosystem health. In: Encyclopaedia of Life Support Systems. Oxford, UK, II: EOLSS Publishers.
  • 10. Elsheikh, R., Shariff, A.R.B.M., Amiri, F., Ahmad, N.B., Balasundram, S.K., Soom, M.A.M. 2013. Agriculture Land Suitability Evaluator (ALSE): A decision and planning support tool for tropical and subtropical crops. Comput. Electron. Agric., 93, 98–110.
  • 11. FAO. 1990. Guidelines for Soil Profile Description, 3rd ed. Food and Agriculture Organization of the United Nations, Rome, Italy.
  • 12. FAO. 1976. A Framework for Land Evaluation. Food and Agriculture Organization of the United Nations, Soils Bulletin No. 32. FAO, Rome.
  • 13. Feizizadeh, B., Jankowski, P., Blaschke, T. 2014. A GISbased spatially explicit sensitivity and uncertainty analysis approach for multicriteria decision analysis. Comput Geosci, 64, 81–95.
  • 14. Hamad, A.I., Jubeir, A.R., Oliwi, M.S. 2021. Spatial distribution of the western jadwal soils properties and suitability evaluation for wheat crop cultivation by geomatics technology. Iraqi Journal of Agricultural Sciences, 52(3), 712–723. DOI: 10.36103/ijas.v52i3.1363
  • 15. Hassan, D.F., Ati, A.S., Neima, A.S. 2021. Calibration and evaluation of aquacrop for maize (Zea Mays L.) under different irrigation and cultivation methods. Journal of Ecological Engineering, 22(10).
  • 16. Hussein, F.I., Abdu lbaqi D.S., Al Maamouri. 2022. The role of fulvic and humic acids and phosphate fertilizer levels on phosphorous uptake and maize yield in calcareous soil. Iraqi Journal of Soil Science, 22(2).
  • 17. Ingle, S.N., Nagaraju, M.S.S., Gadge, P.S., Deshmukh, D.P., Dange, N.R. 2021. GIS based land use suitability of diversified cropping systems in bareli watershed. International Journal of Economic Plants, 8(4), 231–236.
  • 18. Jain, R., Chand, P., Rao, S.C., Agarwal, P. 2020. Crop and soil suitability analysis using multi-criteria decision making in drought-prone semi-arid tropics in India. J. Soil Water Conserv., 19, 271–283.
  • 19. Kahella, A.S.R.A., Suliman, A.A. 2021. Spatial variability of desert soil in Najaf Governorate, iraq using geostatistics. Plant Archives, 21(1), 71–81.
  • 20. Maddahi, Z., Jalalian, A., Zarkesh, M.M.K., Honarjo, N. 2016. Land suitability analysis for rice cultivation using a GIS-based fuzzy multi-criteri decision making approach: Central part of Amol district, Iran. Soil Water Res., 12, 29–38.
  • 21. Malczewski, J., 1999. GIS and Multicriteria Decision Analysis. John Wiley and Sons, New York.
  • 22. Martin, P. 2016. Fearing a flood. Retrieved from The Globe and Mail: http://www.theglobeandmail.com/news/mosul-dam-could-/perachanyminute-as-kill-as-many millioniraqis/artc-Le295691079.
  • 23. Minasny, B., McBratney, A.B. 2006. A conditioned Latin hypercube method for sampling in the presence of ancillary information. Comput. Geosci., 32, 1378–1388.
  • 24. Mohana, P., Mariappan, N.V.E., Manoharan, N. 2009. Land suitability analysis for the part of Parambikulam Aliyar command area, Udumalpet Taluk using remote sensing.
  • 25. Mugiyo, H., Chimonyo, V.G.P., Sibanda, M., Kunz, R., Nhamo, L., Masemola, C.R., Dalin, C., Modi, A.T., Mabhaudhi, T. 2021. Multi-criteria suitability analysis for neglected and underutilised crop species in South Africa. PLoS ONE 2021, 16, e0244734.
  • 26. Muhaimeed A.S., Ahmed A., AL Falihi, Eimad AL-Aini, Auras M. Taha. 2014. Developing land suitability maps for some crops in Abu-Ghraib using remote sensing and GIS. Journal of Remote Sensing and GIS, 2(l), 2052–5583.
  • 27. Ostovari Y., Honarbakhsh A., Sangoony H., Zolfaghari F., Maleki K., Ingram B. 2019. GIS and multicriteria decision-making analysis assessment of land suitability for rapeseed farming in calcareous soils of semi-arid regions. Ecol Ind, 103, 479–487.
  • 28. Othman, A.K., Samer N.N. 2019. Evaluation the individual’s share of urban land use for the holy city of Karbala. Journal of Planner and Development, 24(1), 23–42.
  • 29. Rabia, A.H., Terribile, F. 2013. Introducing a new parametric concept for land suitability assessment. International Journal of Environmental Science and Development, 4(1), 15.
  • 30. Rahal, N.S., Alhumairi, B.A.J. 2019. Modelling of soil cation exchange capacity for some soils of east gharaf lands from mid-Mesopotamian plain (Wasit province/Iraq). International Journal of Environmental Science and Technology, 16(7), 3183–3192.
  • 31. Rasheed, A.G., Razaq, I.B.A., Al-Kaysi, S.C. 2017. The effect of organic matter application on phosphorus status in the calcareous soil. Baghdad Science Journal, 14(1), 107–116.
  • 32. Saaty, T.L. The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation; Mc- Graw-Hill International: New York, NY, USA, 1980.
  • 33. Saaty, T.L. The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation; Mc-Graw-Hill International: New York, NY, USA, 1980.
  • 34. Saaty, T.L. Vargas, L.G. 2013. Decision making with the analytic network process. Int. Ser. Operat. Res. Manage. Sci. 195, 295–318.
  • 35. Sys, I.V.R.E., Debaveye, J. 1993. Land Evaluation, Part 3: Crop Requirement. Agricultural Publication-N7. General Administration for Development Cooperation, Brussels.
  • 36. USDA. 2016. United States Department of Agriculture. USDA National Resources Conservation Service, Washington, DC.
  • 37. Zonneveld, I.S. 1989. The land unit – a fundamental concept in landscape ecology, and its applications. Landscape Ecology, 3, 67–86.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-33a6fb93-cf45-4f82-b711-824fc0032325
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