Performance of soil quality indicators in estimation and distribution of rapeseed yield
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s10661-023-12164-y.pdf
Reference56 articles.
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2. Baalousha, H. M., Tawabini, B., & Seers, T. D. (2021). Fuzzy or non-fuzzy? A comparison between fuzzy logic-based vulnerability mapping and DRASTIC approach using a numerical model. A case study from Qatar. Water, 13(9), 1288. https://doi.org/10.3390/w13091288
3. Bariklo, A., Alamdari, P., Moravej, K., & Servati, M. (2022). Application of land properties in estimation of wheat production by FAO and gene expression programming (GEP) models. Arabian Journal of Geosciences, 15(7), 1–13. https://doi.org/10.1007/s12517-022-09868-9
4. Bünemann, E. K., Bongiorno, G., Bai, Z., Creamer, R. E., De Deyn, G., de Goede, R., Fleskens, L., Geissen, V., Kuyper, T. W., Mäder, P., & Pulleman, M. (2018). Soil quality–A critical review. Soil Biology and Biochemistry, 120, 105–125. https://doi.org/10.1016/j.soilbio.2018.01.030
5. Burrough, P. A., MacMillan, R. A., & Van Deursen, W. (1992). Fuzzy classification methods for determining land suitability from soil profile observations and topography. Journal of Soil Science, 43(2), 193–210. https://doi.org/10.1111/j.1365-2389.1992.tb00129.x
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