- خزائی، ا.، ع. بستانی و ن. دواتگر. 1396. تغییرات مکانی نیتروژن، فسفر و پتاسیم و ظرفیت تبادل کاتیونی خاک در اراضی شرکت کشت و صنعت شریفآباد قزوین. پژوهشهای خاک (علوم خاک و آب), 31 (2), 195-213.
- زارعیان، غ ر.، م. ه. فرپور، م. حجازی و ا. جعفری. 1396. ارتباط شکلهای مختلف پتاسیم با خصوصیات فیزیکو شیمیایی و کانیشناسی رسی خاکهای دشت قرهباغ در استان فارس. پژوهشهای خاک، 31, (2), 315-327.
- طاعتی، ع.، ف. سرمدیان، ح ر. متقیان و س. ر. موسوی. 1399. پهنهبندی برخی ویژگیهای سطحی و عمقی پروفیل خاک با استفاده از تکنیک زمینآمار در بخشی از اراضی دشت قزوین. انسان و محیطزیست، 18(1), 67-81.
- شعبانی، ح. و م. دلاور. 1395. ارزیابی تغییرات مکانی عناصر غذایی پرمصرف در اراضی دانشگاه زنجان. پژوهشهای کاربردی زراعی (پژوهش و سازندگی)، 29(110), 75-82.
- موسوی، س.ر.، ف. سرمدیان و ا. رحمانی. 1398. مدلسازی و پیشبینی مکانی کلاس خاک با استفاده از الگوریتم یادگیری رگرسیون درختی توسعهیافته و جنگل-های تصادفی در بخشی از اراضی دشت قزوین. تحقیقات آب و خاک ایران (علوم کشاورزی ایران)، 50 (10)، 2525-2538.
- علمداری، پ.، و. کامرانی و م. ح. محمدی. 1394. ارتباط بین اشکال مختلف پتاسیم و کانیهای رسی در واحدهای فیزیوگرافی متفاوت. آب و خاک، 29 (6)، 1578- 1589.
- Adhikari, K., P.R., Owens, A.J., Ashworth, T.J., Sauer, Z., Libohova, J.L. Richter., & M., Miller. 2018. Topographic controls on soil nutrient variations in a silvopasture system. Agrosystems, Geosciences & Environment, 1(1:(1-15.
- Bogunovic, I., P., Pereira, & C., Brevik. 2017. Spatial distribution of soil chemical properties in an organic farm in Croatia. Science of the Total Environment, 584:535-545.
- Carter, M.R. &G., Gregorich. 2007. Soil sampling and methods of analysis. CRC press.
- Gao, L., M., Huang, W., Zhang, L., Qiao, G., Wang, & , Zhang. 2021. Comparative Study on Spatial Digital Mapping Methods of Soil Nutrients Based on Different Geospatial Technologies. Sustainability, 13(6): p.3270.
- Gao, X.S., X.I.A.O., Yi, L.J., Deng, Q.Q., LI, C.Q., Wang, L.I., Bing, O.P., Deng, & E.N.G., Min. 2019. Spatial variability of soil total nitrogen, phosphorus and potassium in Renshou County of Sichuan Basin, China. Journal of Integrative Agriculture, 18(2):279-289.
- Hashemi, S.S, & , Abbaslou. 2016. Potassium reserves in soils with arid and semi-arid climate in southern Iran: a perspective based on potassium fixation. Iran Agricultural Research, 35(2): 88-95.
- Hengl, T., M., Nussbaum, M.N., Wright, G.B., Heuvelink, & , Gräler. 2018. Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables. Peer Journal, 6:5518.
- Hengl, T., M.A., Miller, J., Križan, K.D., Shepherd, A., Sila, M., Kilibarda, O., Antonijević, L., Glušica, A., Dobermann, S.M., Haefele, & S.P., McGrath. 2021. African soil properties and nutrients mapped at 30 m spatial resolution using two-scale ensemble machine learning. Scientific Reports, 11(1):1-18.
- Khaledian, Y. & A., Miller. 2020. Selecting appropriate machine learning methods for digital soil mapping. Applied Mathematical Modelling, 81, 401-418.
- Kingsley, J., S.O., Lawani, A.O., Esther, K.M., Ndiye, O.J., Sunday, & , Penizek. 2019. Predictive Mapping of Soil Properties for Precision Agriculture Using Geographic Information System (GIS) Based Geostatistics Models. Modern Applied Science, 13(10): 60-77.
- Kuhn, M. & , Johnson. 2013. Applied predictive modeling. New York: Springer, Vol. 26:13.
- Ludwick, A.E., L.C., Bonezkowski, C.A., Bruice, K.B., Campbell, R.M., Millaway, S.E., Petrie, I.L., Phillips, & J.J., Smith. 1998. Western fertilizer handbook.
- Ma, Y., B., Minasny, & , Wu. 2017. Mapping key soil properties to support agricultural production in Eastern China. Geoderma Regional, 10:144-153.
- Matinfar, H.R., Z., Maghsodi, S.R., Mousavi, & , Rahmani. 2021. Evaluation and Prediction of Topsoil organic carbon using Machine learning and hybrid models at a Field-scale. Catena, 202 ,105258.
- Mendes, W.D.S., J.A.M., Dematte, D.F.U., Salazar, & T.A., Amorim. 2020. Geostatistics or machine learning for mapping soil attributes and agricultural practices. Revista Ceres, 67(4):330-336.
- Minasny, B. & B., McBratney. 2016. Digital soil mapping: A brief history and some lessons. Geoderma, 264:301-311.
- Oliver, M. A, & , Webster. 2014. A tutorial guide to geostatistics: Computing and modelling variograms and kriging. Catena, 113: 56-69.
- Padarian, J., B., Minasny, & B., McBratney. 2020. Machine learning and soil sciences: A review aided by machine learning tools. Soil, 6(1):35-52.
- Parsaie, F., A.F., Firouzi, S.R., Mousavi, A., Rahmani, M.H. Sedri, & , Homaee. 2021. Large-scale digital mapping of topsoil total nitrogen using machine learning models and associated uncertainty map. Environmental Monitoring and Assessment, 193(4): 1-15.
- Staff, S.S., 2014. Keys to Soil Taxonomy, 12th Edn Washington. DC: Natural Resources Conservation Service, United States Department of Agriculture.
- Suleymanov, A., E., Abakumov, R., Suleymanov, I., Gabbasova, & , Komissarov. 2021. The Soil Nutrient Digital Mapping for Precision Agriculture Cases in the Trans-Ural Steppe Zone of Russia Using Topographic Attributes. ISPRS International Journal of Geo-Information, 10(4): 243.
- Srisomkiew, S., M., Kawahigashi, & , Limtong. 2021. Digital mapping of soil chemical properties with limited data in the Thung Kula Ronghai region, Thailand. Geoderma, 389, 114942.
- Taghizadeh-Mehrjardi, R, K., Schmidt, N., Toomanian, B., Heung, T., Behrens, A.H., Mosavi, S. S., Band, A., Amirian-Chakan, A., Fathabadi, & T., Scholten. 2021. Improving the spatial prediction of soil salinity in arid regions using wavelet transformation and support vector regression models. Geoderma, 383:114793.
- Tu, C., T., He, X., Lu, Y., Luo, & , Smith. 2018. Extent to which pH and topographic factors control soil organic carbon level in dry farming cropland soils of the mountainous region of Southwest China. Catena, 163: 204-209.
- Wang, J., B., Fu, Y., Qiu, & , Chen. 2001. Soil nutrients in relation to land use and landscape position in the semi-arid small catchment on the loess plateau in China. Journal of Arid Environments, 48(4):537-550.
- Wang, S., X., Jin, K., Adhikari, W., Li, M., Yu, Z., Bian, & , Wang. 2018. Mapping total soil nitrogen from a site in northeastern China. Catena, 166:134-146.
- Wilding, L.P. 1985. Spatial variability: its documentation, accomodation and implication to soil surveys. In Soil spatial variability, Las Vegas NV, 166-194.
- Zhang, B., D.A., MacLean, R.C., Johns. & S., Eveleigh. 2018. Effects of hardwood content on balsam fir defoliation during the building phase of a spruce budworm outbreak. Forests, 9(9) :530.
- Zhou, T., Y., Geng, J., Chen, C., Sun, D., Haase, & , Lausch. 2019. Mapping of Soil Total Nitrogen Content in the Middle Reaches of the Heihe River Basin in China Using Multi-Source Remote Sensing-Derived Variables. Remote Sensing. 11(24): 2934.
|