Academician profile · DOKTOR ÖĞRETİM ÜYESİ
FUAT KAYA
ISPARTA UYGULAMALI BİLİMLER ÜNİVERSİTESİ
- Ana Dal Ziraat ve Orman ve Su Ürünleri Temel Alanı
- Yan Dal Toprak Bilimi ve Bitki Besleme
- ZİRAAT FAKÜLTESİ
- TOPRAK BİLİMİ VE BİTKİ BESLEME BÖLÜMÜ
Scopus (SJR)
Q1
17
Q2
3
Q3
0
Q4
0
WoS (JCR)
Q1
8
Q2
10
Q3
2
Q4
0
TR Index
0
articles
Articles
- 2026 Multi-Crop Yield Estimation and Spatial Analysis of Agro-Climatic Indices Based on High-Resolution Climate Simulations in Türkiye’s Lakes Region, a Typical Mediterranean Biogeography
- 2025 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
- 2025 Integrating machine learning and environmental-soil variables for estimating soluble and exchangeable potassium in dryland regions: agronomical implications
- 2025 Spatial Variability and Management Zones: Leveraging Geostatistics and Fuzzy Clustering
- 2025 Corrigendum to “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” [Geoderma 454 (2025) 117199]
- 2025 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
- 2025 Land Use Modifies the Inherent Effect of Soil Properties on Soil Bacterial Communities in Humid Tropical Watersheds
- 2025 Multi-Temporal Normalized Difference Vegetation Index Based on High Spatial Resolution Satellite Images Reveals Insight-Driven Edaphic Management Zones
- 2025 Advancing soil mapping and management using geostatistics and integrated machine learning and remote sensing techniques: a synoptic review
- 2024 Towards site-specific management of soil organic carbon: Comparing support vector machine and ordinary kriging approaches based on pedo-geomorphometric factors
- 2024 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
- 2023 Application of Machine Learning Algorithms for Digital Mapping of Soil Salinity Levels and Assessing Their Spatial Transferability in Arid Regions
- 2023 Combining Digital Covariates and Machine Learning Models to Predict the Spatial Variation of Soil Cation Exchange Capacity
- 2023 Application of GIS-based machine learning algorithms for prediction of irrigational groundwater quality indices
- 2023 Spatial prediction of soil micronutrients using machine learning algorithms integrated with multiple digital covariates
- 2022 Predictive Mapping of Electrical Conductivity and Assessment of Soil Salinity in a Western Türkiye Alluvial Plain
- 2022 Digital mapping for soil texture class prediction in northwestern Türkiye by different machine learning algorithms
- 2022 Machine learning for cation exchange capacity prediction in different land uses
- 2022 Assessing Machine Learning-Based Prediction under Different Agricultural Practices for Digital Mapping of Soil Organic Carbon and Available Phosphorus
- 2022 Nitrogen-Use Efficiency in Maize (Zea mays L.) on Fluvisol Soils in Afgoi District, Southern Somalia