AbdelRahman, M.A. (2023). An overview of land degradation, desertification and sustainable land management using GIS and remote sensing applications.
Rendiconti Lincei. Scienze Fisiche e Naturali, 34, 767-808.
https://doi.org/10.1007/s12210-023-01155-3
Abshenas, M., Kamkar, B., Soltani, A., & Kazemi, H. (2024). Predicting the effect of climate change on the suitability of canola (
Brassica napus L.) cultivation land using SDSM and Lars-WG models in Mazandaran province.
Journal of Agroecology, 15(4), 843-862. (In Persian with English abstract)
https://doi.org/10.22067/agry.2022.76858.1112
Ahmad, N., Younas, F., Ahmad, H.R., Sarfraz, M., Ayub, M.A., Maqsood, M.A., Rasul, F., Sardar, M.F., Mehmood, T., Ajarem, J.S., Maoda, S.N., Li, X., & Cui, Z. (2023). Soybean (
Glycine max) cropland suitability analysis in subtropical desert climate through GIS-based multicriteria analysis and Sentinel-2 multispectral imaging.
Land, 12(11), 2034.
https://doi.org/10.3390/land12112034
Bhunia, G.S., Shit, P.K., & Maiti, R. (2016). Spatial variability of soil organic carbon under different land use using radial basis function (RBF).
Modeling Earth Systems and Environment, 2(17), 1-8.
https://doi.org/10.1007/s40808-015-0070-x
Bilas, G., Karapetsas, N., Gobin, A., Mesdanitis, K., Toth, G., Hermann, T., Wang, Y., Luo, L., Koutsos, T.M., Moshou, D., & Alexandridis, T.K. (2022). Land suitability analysis as a tool for evaluating soil-improving cropping systems.
Land, 11(12), 2200.
https://doi.org/10.3390/land11122200
Bindraban, P.S., van der Velde, M., Ye, L., Van den Berg, M., Materechera, S., Kiba, D.I., Tamene, L., Ragnarsdóttir, K.V., Jongschaap, R., Hoogmoed, M., & Hoogmoed, W. (2012). Assessing the impact of soil degradation on food production.
Current Opinion in Environmental Sustainability, 4(5), 478-488.
https://doi.org/10.1016/j.cosust.2012.09.015
Emadi, M., & Baghernejad, M. (2014). Comparison of spatial interpolation techniques for mapping soil pH and salinity in agricultural coastal areas, northern Iran.
Archives of Agronomy and Soil Science, 60(9), 1315-1327.
https://doi.org/10.1080/03650340.2014.880837
Esri. (2021). Create Thiessen Polygons (Analysis). ArcGIS 10.8 Documentation. Esri.
Fageria, N.K., Baligar, V.C., & Jones, C.A. (2011). Growth and mineral nutrition of field crops. Third Edition, CRC Press.
FAO. (2022). State of the world's land and water resources for food and agriculture (SOLAW21): Executive summary (COAG/2022/14). FAO.
Han, C., Chen, S., Yu, Y., Xu, Z., Zhu, B., Xu, X., & Wang, Z. (2021). Evaluation of agricultural land suitability based on RS, AHP, and MEA: a case study in Jilin Province, China.
Agriculture, 11(4), 370.
https://doi.org/10.3390/agriculture11040370
Jaiswal, R.K., Yadav, S. & Yadava, R.N. (2022). Management of environmentally stressed areas in watershed using multi-criteria decision tool in GIS: a noble technique to conserve soil for agriculture. Pp. 279-299. In: Singh V.P., Yadav S., Yadav K.K., Corzo Perez G.A., Muñoz-Arriola F., & Yadava R.N. (eds.). Application of Remote Sensing and GIS in Natural Resources and Built Infrastructure Management: Water Science and Technology Library. Springer, Cham.
Kamkar, B., Alizadeh Dehkordi, P., Aalaee Bazkiaee, P., & Abdi, O. (2021). Determination of the compliance of soybean lands with land suitability maps (case study: Golestan province).
Agricultural Engineering (Scientific Journal of Agriculture), 44(1), 121-139. (In Persian with English Abstract)
https://doi.org/10.22055/agen.2021.37398.1604
Kazemi, H., Tahmasebi Sarvestani, Z., Kamkar, B., Shataei, SH., & Sadeghi, S. (2014). Agro-Ecological zoning of Golestan Province lands for soybean cultivation using geographical information system (GIS). Journal of Agricultural Science and Sustainable Production, 23(4), 21-40. (In Persian with English Abstract)
Ledesma, F., Lopez, C., Ortiz, D., Chen, P., Korth, K.L., Ishibashi, T., Zeng, A., Orazaly, M., & Florez‐Palacios, L. (2016). A simple greenhouse method for screening salt tolerance in soybean.
Crop Science, 56(2), 585-594.
https://doi.org/10.2135/cropsci2015.07.0429
Mangena, P. (2023). Plant transformation via agrobacterium tumefaciens: culture conditions, recalcitrance and advances in soybean. CRC Press.
Mehdi, S.M., Mian, S.M., Ghani, S., Khalid, M., Sheikh, A.A., Rasheed, S., & Iqbal, M.A.J. (2013). Modelling of surface soil pH using geostatistical methods in Punjab province, Pakistan. International Journal of Scientific Engineering and Research, 4(11), 359-377.
Mohammadi-Kashka, F., Tahmasebi Sarvestani, Z., Pirdashti, H., Hosseinzadeh Bandbafha, H. (2024). Assessing the life cycle cost (LCC) and energy of soybean agroecosystems in Mazandaran province.
Crop Production Journal, 16(4), 169-198. (In Persian with English Abstract)
https://doi.org/10.22069/ejcp.2024.21649.2598
Morgan, R.S., Abd El-Hady, M., Rahim, I.S., Silva, J., & Ribeiro, S. (2017). Evaluation of various interpolation techniques for estimation of selected soil properties.
GEOMATE Journal, 13(38), 23-30.
http://dx.doi.org/10.21660/2017.38.606721
Mu, E., & Pereyra-Rojas, M. (2018). Understanding the Analytic Hierarchy Process. In: Practical Decision Making using Super Decisions v3. SpringerBriefs in Operations Research. Springer, Cham. Pp. 7-22.
Munene, P., Chabala, L.M., & Mweetwa, A.M. (2017). Land suitability assessment for soybean (
Glycine max (L.) Merr.) production in Kabwe District, Central Zambia.
Journal of Agricultural Science, 9(3), 74-89.
http://dx.doi.org/10.5539/jas.v9n3p74
Mustafa, A.A., Singh, M., Sahoo, R.N., Ahmed, N., Khanna, M., Sarangi, A., & Mishra, A.K. (2011). Land suitability analysis for different crops: a multi criteria decision making approach using remote sensing and GIS. Researcher, 3(12), 61-84.
Nourzadeh Haddad, M. (2013). Testing the performance of spatial interpolation techniques for mapping electrical conductivity and acidity of soils: a case study of Qom Plain, Iran. International Journal of Agronomy and Plant Production, 4(11), 2827-2832.
Philippopoulos, K., & Deligiorgi, D. (2012). Application of artificial neural networks for the spatial estimation of wind speed in a coastal region with complex topography
. Renewable Energy, 38(1), 75-82.
https://doi.org/10.1016/j.renene.2011.07.007
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(56), 1-22.
https://doi.org/10.1007/s40808-016-0116-8
Radočaj, D., Jurišić, M., & Antonić, O. (2021). Determination of soil C: N suitability zones for organic farming using an unsupervised classification in eastern Croatia.
Ecological Indicators, 123, 107382.
https://doi.org/10.1016/j.ecolind.2021.107382
Radočaj, D., Jurišić, M., Gašparović, M. & Plaščak, I. (2020). Optimal soybean (
Glycine max L.) land suitability using gis-based multicriteria analysis and sentinel-2 multitemporal images. Remote Sensing, 12(9), 1463.
https://doi.org/10.3390/rs12091463
Ramamurthy, V., Obi Reddy, G.P., & Kumar, N. (2020). Assessment of land suitability for maize (
Zea mays L.) in semi-arid ecosystem of southern India using integrated AHP and GIS approach.
Computers and Electronics in Agriculture, 179, 105806.
https://doi.org/10.1016/j.compag.2020.105806
Rao, A.S., & Reddy, K.S. (2010). Nutrient management in soybean. Pp. 161–190. In: Singh G. (eds.). The Soybean: Botany, Production and Uses. CAB International.
Robinson, T.P., & Metternicht, G. (2006). Testing the performance of spatial interpolation techniques for mapping soil properties.
Computers and Electronics in Agriculture, 50(2), 97-108.
https://doi.org/10.1016/j.compag.2005.07.003
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
Sadiq, F.K., Ya'u, S.L., Aliyu, J., & Maniyunda, L.M. (2023). Evaluation of land suitability for soybean production using GIS-based multi-criteria approach in Kudan Local Government area of Kaduna State Nigeria.
Environmental and Sustainability Indicators, 20, 100297.
https://doi.org/10.1016/j.indic.2023.100297
Sarmadian, F., Keshavarzi, A., Odagiu, A., Zahedi, G., & Javadikia, H. (2014). Mapping of spatial variability of soil organic carbon based on radial basis functions method. Proenvironment Promediu, 7, 3-9.
Seif-Ennasr, M., Bouchaou, L., El Morjani, Z.E.A., Hirich, A., Beraaouz, E.H., & Choukr-Allah, R. (2020). Gis-based land suitability and crop vulnerability assessment under climate change in Chtouka Ait Baha, Morocco.
Atmosphere, 11(11), 1167.
https://doi.org/10.3390/atmos11111167
Singh, G., & Shivakumar, B.G. (2010). The Role of soybean in agriculture. Pp. 24–47. In: Singh G. (Eds.). The Soybean: Botany, Production and Uses. CAB International.
Subiyanto., Hermanto Arief, U.M., & Nafi, A.Z. (2018). An accurate assessment tool based on intelligent technique for suitability of soybean cropland: Case study in Kebumen Regency, Indonesia. Heliyon, 4(7), e00684.
Taghipour, F., Emadi, S.M., Danesh, M., & Sepanlou, M.G. (2025). Interpolation and artificial neural network to estimate soil spatial variability affected by land use and altitude.
Journal of South American Earth Sciences, 157, 105485.
https://doi.org/10.1016/j.jsames.2025.105485
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.
Journal of the Saudi Society of Agricultural Sciences, 19(5), 332-338.
https://doi.org/10.1016/j.jssas.2020.03.003
Tewari, S., Arora, N.K., & Miransari, M. (2016). Plant growth promoting rhizobacteria to alleviate soybean growth under abiotic and biotic stresses. Pp. 131-155. In: Miransari M. (eds.). Abiotic and Biotic Stresses in Soybean Production. Volume 1, Academic Press, San Diego.
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