All Stories

  1. A novel method to determine background concentrations and spatial distributions of heavy metals in soil at large scale using machine learning coupled with remote sensing-terrain attributes

    Article • MethodsX, June 2025, Elsevier

    Fuat KAYA

  2. Multi-Temporal Normalized Difference Vegetation Index Based on High Spatial Resolution Satellite Images Reveals Insight-Driven Edaphic Management Zones

    Article • AgriEngineering, March 2025, MDPI AG

    Fuat KAYA

  3. Spatial Variability and Management Zones: Leveraging Geostatistics and Fuzzy Clustering

    Article • Journal of soil science and plant nutrition, March 2025, Springer Science + Business Media

    Fuat KAYA

  4. Empirical estimation of saturated soil-paste electrical conductivity in the EU using pedotransfer functions and Quantile Regression Forests: A mapping approach based on LUCAS topsoil data

    Article • Geoderma, February 2025, Elsevier

    Fuat KAYA

  5. Towards site-specific management of soil organic carbon: Comparing support vector machine and ordinary kriging approaches based on pedo-geomorphometric factors

    Article • Computers and Electronics in Agriculture, January 2024, Elsevier

    Fuat KAYA

  6. Spatial variability of some heavy metals in arid harrats soils: Combining machine learning algorithms and synthetic indexes based-multitemporal Landsat 8/9 to establish background levels

    Article • CATENA, January 2024, Elsevier

    Fuat KAYA

  7. Application of GIS-based machine learning algorithms for prediction of irrigational groundwater quality indices

    Article • Frontiers in Earth Science, September 2023, Frontiers

    Fuat KAYA

  8. Application of Machine Learning Algorithms for Digital Mapping of Soil Salinity Levels and Assessing Their Spatial Transferability in Arid Regions

    Article • Land, August 2023, MDPI AG

    Fuat KAYA

  9. Spatial prediction of soil micronutrients using machine learning algorithms integrated with multiple digital covariates

    Article • Nutrient Cycling in Agroecosystems, August 2023, Springer Science + Business Media

    Fuat KAYA

  10. Combining Digital Covariates and Machine Learning Models to Predict the Spatial Variation of Soil Cation Exchange Capacity

    Article • Land, April 2023, MDPI AG

    Fuat KAYA

  11. Digital mapping for soil texture class prediction in northwestern Türkiye by different machine learning algorithms

    Article • Geoderma Regional, December 2022, Elsevier

    Fuat KAYA

  12. Predictive Mapping of Electrical Conductivity and Assessment of Soil Salinity in a Western Türkiye Alluvial Plain

    Article • Land, November 2022, MDPI AG

    Fuat KAYA

  13. Machine learning for cation exchange capacity prediction in different land uses

    Article • CATENA, September 2022, Elsevier

    Fuat KAYA

  14. Assessing Machine Learning-Based Prediction under Different Agricultural Practices for Digital Mapping of Soil Organic Carbon and Available Phosphorus

    Article • Agriculture, July 2022, MDPI AG

    Fuat KAYA

  15. Digital mapping of soil texture classes for efficient land management in the Piedmont plain of Iran

    Article • Soil Use and Management, July 2022, Wiley

    Fuat KAYA

  16. Assessment of the vegetation indices on Sentinel-2A images for predicting the soil productivity potential in Bursa, Turkey

    Article • Environmental Monitoring and Assessment, December 2019, Springer Science + Business Media

    Fuat KAYA