Anika Gebauer

Spatial prediction of organic carbon in German agricultural topsoil using machine learning algorithms

Ali Sakhaee, Anika Gebauer, Mareike Ließ et al. · SOIL · 2022 · 51 citations · Full text

Agriculture, Earth Sciences, Soil Sciences +13

Machine Learning With GA Optimization to Model the Agricultural Soil-Landscape of Germany: An Approach Involving Soil Functional Types With Their Multivariate Parameter Distributions Along the Depth Profile

Mareike Ließ, Anika Gebauer, Axel Don · Frontiers in Environmental Science · 2021 · 28 citations · Full text

Natural Sciences, Earth Sciences, Soil Sciences +15

Topsoil Texture Regionalization for Agricultural Soils in Germany—An Iterative Approach to Advance Model Interpretation

Anika Gebauer, Ali Sakhaee, Axel Don et al. · Frontiers in Soil Science · 2022 · 27 citations · Full text

Agriculture, Earth Sciences, Soil Sciences +14

Development of pedotransfer functions for water retention in tropical mountain soil landscapes: spotlight on parameter tuning in machine learning

Anika Gebauer, Monja Ellinger, Victor M. Brito Gómez et al. · SOIL · 2020 · 22 citations · Full text

Natural Sciences, Earth Sciences, Soil Sciences +14

Optimisation in machine learning: An application to topsoil organic stocks prediction in a dry forest ecosystem

Anika Gebauer, Victor M. Brito Gómez, Mareike Ließ · Geoderma · 2019 · 13 citations · Full text

Computing, Forestry, Soil Sciences +13