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Digital and precision agriculture in complex terrain: factors influencing soil nutrient mapping

https://doi.org/10.2139/ssrn.7345477
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Comparative study of interpolation methods for low-density sampling
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Terrain analysis, erosion simulations, and sediment fingerprinting: a case study assessing the erosion sensitivity of agricultural catchments in the border of the volcanic plateau of Southern Brazil
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Random forest regression kriging modeling for soil organic carbon density estimation using multi-source environmental data in central Vietnamese forests
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Sampling Design and Spatial Modeling of Available Phosphorus in a Complex Agricultural Area in Southern Brazil
inferredcites →https://doi.org/10.1007/s44378-025-00082-zopenalex-snapshot
Advancing soil mapping and management using geostatistics and integrated machine learning and remote sensing techniques: a synoptic review
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Multivariable geostatistics in S: the gstat package
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A conditioned Latin hypercube method for sampling in the presence of ancillary information
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Comparing interpolation methods to predict soil total phosphorus in the Mollisol area of Northeast China
inferredcites →https://doi.org/10.1016/j.catena.2019.03.024openalex-snapshot
Land use impacts on soil erosion and rejuvenation in Southern Brazil
inferredcites →https://doi.org/10.1016/j.compag.2005.07.003openalex-snapshot
Testing the performance of spatial interpolation techniques for mapping soil properties
inferredcites →https://doi.org/10.1016/j.ecolind.2018.05.044openalex-snapshot
Effects of sampling density on interpolation accuracy for farmland soil organic matter concentration in a large region of complex topography
inferredcites →https://doi.org/10.1016/j.geoderma.2014.12.017openalex-snapshot
Do more detailed environmental covariates deliver more accurate soil maps?
inferredcites →https://doi.org/10.1016/j.geoderma.2016.12.002openalex-snapshot
Spatial variability of potassium in agricultural soils of the canton of Fribourg, Switzerland
inferredcites →https://doi.org/10.1016/j.geoderma.2022.116252openalex-snapshot
Covariates in sample planning optimization for digital soil fertility mapping in agricultural areas
inferredcites →https://doi.org/10.1016/j.geoderma.2023.116365openalex-snapshot
Multivariate random forest for digital soil mapping
inferredcites →https://doi.org/10.1016/j.geoderma.2024.116873openalex-snapshot
A framework for optimizing environmental covariates to support model interpretability in digital soil mapping
inferredcites →https://doi.org/10.1016/j.jvolgeores.2017.05.008openalex-snapshot
Lithostratigraphy and volcanology of the Serra Geral Group, Paraná-Etendeka Igneous Province in Southern Brazil: Towards a formal stratigraphical framework
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot
Random Forests
inferredcites →https://doi.org/10.1038/s41598-018-33516-6openalex-snapshot
Multi-scale digital soil mapping with deep learning
inferredcites →https://doi.org/10.1111/j.1365-2389.2011.01364.xopenalex-snapshot
Sampling for validation of digital soil maps
inferredcites →https://doi.org/10.1111/sum.12694openalex-snapshot
Perspectives on validation in digital soil mapping of continuous attributes—A review
inferredcites →https://doi.org/10.1127/0941-2948/2013/0507openalex-snapshot
Köppen's climate classification map for Brazil
inferredcites →https://doi.org/10.1590/0103-8478cr20150035openalex-snapshot
Soil changes in a subtropical seasonal forest chronosequences in the south of Brazil
inferredcites →https://doi.org/10.1590/s0100-06832009000100013openalex-snapshot
Morfologia e classificação taxonômica de neossolos e saprolitos derivados de rochas vulcânicas da Formação Serra Geral no Rio Grande no Sul
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Building Predictive Models in R Using the caret Package
inferredcites →https://doi.org/10.2136/sssaj1994.03615995005800050033xopenalex-snapshot
Field‐Scale Variability of Soil Properties in Central Iowa Soils
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A Concordance Correlation Coefficient to Evaluate Reproducibility
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A Novel Interpolation Method for Soil Parameters Combining RBF Neural Network and IDW in the Pearl River Delta
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Analysis of Spatial Variability and Influencing Factors of Soil Nutrients in Western China: A Case Study of the Daliuta Mining Area
inferredcites →https://doi.org/10.36783/18069657rbcs20240013openalex-snapshot
Soil hydraulic properties, mineralogical alteration and pore formation in Regosols from southern Brazil
inferredcites →https://doi.org/10.36783/18069657rbcs20240067openalex-snapshot
Effect of potassium rates and application methods in no-till on soil K availability and crop yield
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