Arş. Gör. Fuat KAYA

KİŞİSEL BİLGİLER
Fuat KAYA
Adı Soyadı Arş. Gör. Fuat KAYA
Birimi Ziraat Fakültesi
Bölüm Toprak Bilimi Ve Bitki Besleme Bölüm Başkanlığı
Ana Bilim Dalı Toprak Bilimi Ve Bitki Besleme Anabilimdalı Başkanlığı
Telefon 2462146240
E-Posta fuatkaya@isparta.edu.tr
Kişisel Web Sayfası
Yöksis AkademikYöksis akademik
ORCID IDhttps://orcid.org/0000-0003-0011-9020
Akademik Hesaplar
ResearcherIDScopus Author IDResearchGateGoogle ScholarLinkedin
Bilgilerinizi Personel Bilgi Sistemi'nden (PBS) düzenleyebilirsiniz.
ÖĞRENİM BİLGİLERİ
Lisans SELÇUK ÜNİVERSİTESİ TOPRAK BİLİMİ VE BESLENME BÖLÜMÜ 11.6.2015
Yüksek Lisans ISPARTA UYGULAMALI BİLİMLER ÜNİVERSİTESİ TOPRAK BİLİMİ VE BİTKİ BESLEME (YL) (TEZLİ) 24.6.2021
Doktora
YAYINLAR
Sayfada gösterilen bütün veriler YÖK Akademik Bilgi Sisteminden getirilmektedir. YÖK Akademik Bilgi Sistemine girilen veriler 24 saat aralıklarla senkronize edilmektedir. Sayfada gösterilen veriler ile ilgili sorularınız, istekleriniz ve hatalı gösterimler için destek@isparta.edu.tr adresine mail göndererek iletişime geçebilirsiniz.

  • Alanında uluslararası yayınlanan özgün bilimsel kitap
  • 1AKÇA E., ALDRIAN U., ALEWELL C., ANZALONE E., ARCIDIACONO A., ARIAS N. C., AUCLERC A., AYDİNŞAKİR K., BALLABIO C., BALOG K., BARAGAÑO D., BARITZ R., BELTRANDI D., BERNATEK-JAKIEL A., BØE F., BORRELLI P., BREURE T., BRIONES M., BROOTHAERTS N., BURTON V., BUTTAFUOCO G., CAGNARINI C., CHERLINKA V., CHEVALLIER T., DE L. T. A., DE M. D., DE R. D., DI L. S., DMYTRUK Y., DRAGOVIC S., ERPUL G., EVRARD O., FRANK S., GARCÍA F. N., GASCUEL C., GEZGİN S., HACKENBERGER D. K., HAVENGA C., HINSINGER P., JONES A., KAYA F., KÖNINGER J., LABOUYRIE M., LAMANDÉ M., LIAKOS L., LUGATO E., MADENOĞLU S., MARTIN J. J., MASON E., MATTHEWS F., MAURISCHAT P., MELPOMENI Z., MIMMO T., MONOKROUSOS N., JIMENEZ M. E., MUNAFÒ M., ORGIAZZI A., ORTAŞ İ., OZCAN H., ÖZTAŞ T., Panagos P., PEIRO A., PICCINI C., POCH R. M., POEPLAU C., POESEN J., POLAT A., REIFF T., RIENKS F., ROMANOVA S., RONCHI S., ROS G., ÖZTÜRK H. S., SAGGAU P., SALATA S., SANDÉN T., SANZ F., SCAMMACCA O., SCARPA S., SCHILLACI C., SERPA D., SILVA V., SONMEZ B., SPALEVIC V., VAN D. H. M., VAN E. E., VAN L. M., VANMAERCKE M., VIDOJEVIĆ D., VIEIRA D., VIRTO I., WOJDA P., Mezquita F. Y., ZDRULI P., ZHANG C., ZUPANC V. (2024). The state of soils in Europe fully evidenced, spatially organised assessment of the pressures driving soil degradation. Publications Office of the European Union.
  • Alanında, uluslararası yayınlanan özgün bilimsel kitapta bölüm ve ünite yazarlığı
  • 1KAYA F., BAŞAYİĞİT L. (2023). Artificial Intelligence and Smart Agriculture Applications. Boca Raton, Florida, (pp. 107-136). CRC Press- Auerbach Publications (Taylor & Francis Group).
  • 2KAYA F., BAŞAYİĞİT L. (2022). Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation. Gewerbestrasse, (pp. 463-473). Springer Nature Switzerland AG.
  • SCI, SSCI ve AHCI dışındaki indeks ve özler tarafından taranan Uluslararası dergilerde yayımlanan teknik not, editöre mektup, tartışma, vaka takdimi ve özet türünden yayınlar dışındaki makale
  • 1De C. S. A., Reinsch S., Saravanakumar D., St M. C., Wuddivira M. N., ebarth B. J. Z., KAYA F., Liu M., Chinthalapudi D. P. M., Shanmugam S. G., Helgason B. (2025). Land Use Modifies the Inherent Effect of Soil Properties on Soil Bacterial Communities in Humid Tropical Watersheds. Soil Systems, 9.<a href='https://doi.org/10.3390/soilsystems9040112' target='_blank'>https://doi.org/10.3390/soilsystems9040112</a>
  • 2Sulieman M., KAYA F., Al-Farraj A. S., Brevik E. C. (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. MethodsX, 14.<a href='https://doi.org/10.1016/j.mex.2025.103180' target='_blank'>https://doi.org/10.1016/j.mex.2025.103180</a>
  • 3KAYA F., FERHATOGLU C., BAŞAYİĞİT L. (2025). Multi-Temporal Normalized Difference Vegetation Index Based on High Spatial Resolution Satellite Images Reveals Insight-Driven Edaphic Management Zones. AgriEngineering, 7, 92-92.<a href='https://doi.org/10.3390/agriengineering7040092' target='_blank'>https://doi.org/10.3390/agriengineering7040092</a>
  • 4De C. S. A., St M. C., Atwell M. A., KAYA F., Wuddivira G. A., Wuddivira M. N. (2025). Advancing soil mapping and management using geostatistics and integrated machine learning and remote sensing techniques: a synoptic review. Discover Soil, 2.<a href='https://doi.org/10.1007/s44378-025-00082-z' target='_blank'>https://doi.org/10.1007/s44378-025-00082-z</a>
  • 5Mohamed A. A., Ismaan H. N., KAYA F., BAŞAYİĞİT L., Siad S. A. (2022). Nitrogen-Use Efficiency in Maize (Zea mays L.) on Fluvisol Soils in Afgoi District, Southern Somalia. Asian Journal of Research in Crop Science, 7, 55-64.<a href='https://doi.org/10.9734/ajrcs/2022/v7i4145' target='_blank'>https://doi.org/10.9734/ajrcs/2022/v7i4145</a>
  • SCI, SSCI ve AHCI tarafından taranan dergilerde yayımlanan teknik not, editöre mektup, tartışma, vaka takdimi ve özet türünden yayınlar dışındaki makale
  • 1Musa M., Elsheikh M. A., Sulieman M., Omar M. M., KAYA F., Brevik E. C. (2025). Integrating machine learning and environmental-soil variables for estimating soluble and exchangeable potassium in dryland regions: agronomical implications. Plant and Soil, .<a href='https://doi.org/10.1007/s11104-025-07717-8' target='_blank'>https://doi.org/10.1007/s11104-025-07717-8</a>
  • 2Schillaci C., Scarpa S., Mezquita F. Y., Lipani A., Visconti F., Szatmári G., Balog K., Koganti T., Greve M. H., Bondi G., Kargas G., Londra P., KAYA F., Lo P. G., Panagos P., Montanarella L., Jones A. (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. Geoderma, 454.<a href='https://doi.org/10.1016/j.geoderma.2025.117199' target='_blank'>https://doi.org/10.1016/j.geoderma.2025.117199</a>
  • 3KESHAVARZI A., De C. S. A., Sintim H. Y., KAYA F., Kusi N. Y. O., Gyasi‐Agyei Y., Kumar V. (2025). Spatial Variability and Management Zones: Leveraging Geostatistics and Fuzzy Clustering. Journal of Soil Science and Plant Nutrition, .<a href='https://doi.org/10.1007/s42729-025-02357-4' target='_blank'>https://doi.org/10.1007/s42729-025-02357-4</a>
  • 4Schillaci C., Scarpa S., Mezquita F. Y., Lipani A., Visconti F., Szatmári G., Balog K., Koganti T., Greve M. H., Bondi G., Kargas G., Londra P., KAYA F., Lo P. G., Panagos P., Montanarella L., Jones A. (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]. Geoderma, 456, 117253-117253.<a href='https://doi.org/10.1016/j.geoderma.2025.117253' target='_blank'>https://doi.org/10.1016/j.geoderma.2025.117253</a>
  • 5Sulieman M., KAYA F., KESHAVARZI A., Hussein A. M., Al-Farraj A. S., Brevik E. C. (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. CATENA, 234.<a href='https://doi.org/10.1016/j.catena.2023.107579' target='_blank'>https://doi.org/10.1016/j.catena.2023.107579</a>
  • 6De C. S. A., KESHAVARZI A., Bottega E. L., KAYA F. (2024). Towards site-specific management of soil organic carbon: Comparing support vector machine and ordinary kriging approaches based on pedo-geomorphometric factors. Computers and Electronics in Agriculture, 216, 108545.<a href='https://doi.org/10.1016/j.compag.2023.108545' target='_blank'>https://doi.org/10.1016/j.compag.2023.108545</a>
  • 7Sulieman M., KAYA F., Elsheikh M. A., BAŞAYİĞİT L., Francaviglia R. (2023). Application of Machine Learning Algorithms for Digital Mapping of Soil Salinity Levels and Assessing Their Spatial Transferability in Arid Regions. LAND, 12, 1680.<a href='https://doi.org/10.3390/land12091680' target='_blank'>https://doi.org/10.3390/land12091680</a>
  • 8KESHAVARZI A., KAYA F., BAŞAYİĞİT L., Gyasi‐Agyei Y., Rodrigo‐Comino J., Caballero-Calvo A. (2023). Spatial prediction of soil micronutrients using machine learning algorithms integrated with multiple digital covariates. Nutrient Cycling in Agroecosystems, .<a href='https://doi.org/10.1007/s10705-023-10303-y' target='_blank'>https://doi.org/10.1007/s10705-023-10303-y</a>
  • 9KAYA F., Mishra G., Francaviglia R., KESHAVARZI A. (2023). Combining Digital Covariates and Machine Learning Models to Predict the Spatial Variation of Soil Cation Exchange Capacity. Land, 12, 819.<a href='https://doi.org/10.3390/land12040819' target='_blank'>https://doi.org/10.3390/land12040819</a>
  • 10Mohammed M. A. A., KAYA F., Mohamed A., Alarifi S. S., Abdelrady A., KESHAVARZI A., Szabó N. P., Szűcs P. (2023). Application of GIS-based machine learning algorithms for prediction of irrigational groundwater quality indices. Frontiers in Earth Science, 11.<a href='https://doi.org/10.3389/feart.2023.1274142' target='_blank'>https://doi.org/10.3389/feart.2023.1274142</a>
  • 11KAYA F., BAŞAYİĞİT L., KESHAVARZI A., Francaviglia R. (2022). Digital mapping for soil texture class prediction in northwestern Türkiye by different machine learning algorithms. Geoderma Regional, .<a href='https://doi.org/10.1016/j.geodrs.2022.e00584' target='_blank'>https://doi.org/10.1016/j.geodrs.2022.e00584</a>
  • 12KAYA F., KESHAVARZI A., Francaviglia R., KAPLAN G., BAŞAYİĞİT L., DEDEOĞLU M. (2022). Assessing Machine Learning-Based Prediction under Different Agricultural Practices for Digital Mapping of Soil Organic Carbon and Available Phosphorus. Agriculture-Basel, 12, 1062.<a href='https://doi.org/10.3390/agriculture12071062' target='_blank'>https://doi.org/10.3390/agriculture12071062</a>
  • 13KAYA F., SCHILLACI C., KESHAVARZI A., BAŞAYİĞİT L. (2022). Predictive Mapping of Electrical Conductivity and Assessment of Soil Salinity in a Western Türkiye Alluvial Plain. Land, 12, 2148.<a href='https://doi.org/10.3390/land11122148' target='_blank'>https://doi.org/10.3390/land11122148</a>
  • 14KESHAVARZI A., del Á. M. Á. S., KAYA F., Gyasi‐Agyei Y., Rodrigo‐Comino J. (2022). Digital mapping of soil texture classes for efficient land management in the Piedmont plain of Iran. SOIL USE AND MANAGEMENT, 38, 1705-1735.<a href='https://doi.org/10.1111/sum.12833' target='_blank'>https://doi.org/10.1111/sum.12833</a>
  • 15Mishra G., Sulieman M., KAYA F., Francaviglia R., KESHAVARZI A., Bakhshandeh E., Loum M., Jangir A., Ahmed I., Elmobarak A., Basher A., Rawat D. (2022). Machine learning for cation exchange capacity prediction in different land uses. CATENA, 216.<a href='https://doi.org/10.1016/j.catena.2022.106404' target='_blank'>https://doi.org/10.1016/j.catena.2022.106404</a>
  • 16DEDEOĞLU M., BAŞAYİĞİT L., YÜKSEL M., KAYA F. (2020). Assessment of the vegetation indices on Sentinel-2A images for predicting the soil productivity potential in Bursa, Turkey. ENVIRONMENTAL MONITORING AND ASSESSMENT, 192.<a href='https://doi.org/10.1007/s10661-019-7989-8' target='_blank'>https://doi.org/10.1007/s10661-019-7989-8</a>
  • Uluslararası toplantıda sunularak özet metin olarak yayımlanan bildiri
  • 1SONUÇ C., Yaylacı N., Keske B., KAYA F., ÜNAL Y. (2025). Predicting the Impact of Climate Change on Olive Cultivation in Southwestern Türkiye under SSP3-7.0 Scenario. European Geoscience Union (EGU) General Assembly 2025, Nisan 27-27, Viyana.
  • 2Schillaci C., Scarpa S., Mezquita F. Y., Lipani A., Visconti F., Szatmári G., Balog K., Greve M. H., Koganti T., Bondi G., Kargas G., Londra P., KAYA F., Panagos P., Jones A., Montanarella L. (2024). Soil Electrical Conductivity (ECe) Mapping in the EU Based on Lucas 2018 Soil Properties. Centennial Celebration and Congress of the International Union of Soil Sciences, Mayıs 19-21, Florence.
  • 3KAYA F., BAŞAYİĞİT L. (2023). Digital mapping of WRB soil classes using linear and non-linear classification-based machine learning algorithms and integration of confusion index in knowledge discovery. European Geosciences Union (EGU) General Assembly 2023, Nisan 23-30, Viyana.
  • 4KAYA F., Schillaci C., KAPLAN G., BAŞAYİĞİT L. (2023). Review of the usage of LUCAS soil data for soil modeling and mapping via bibliometric analysis. European Geosciences Union (EGU) General Assembly 2023, Nisan 23-30, Viyana.
  • 5KAYA F., BAŞAYİĞİT L. (2021). Digital Mapping of Soil Particle Size Distribution in an Alluvial Plain Using the Random Forest Algorithm. European Geosciences Union (EGU) General Assembly 2021, Nisan 28-30, Vienna.
  • Uluslararası toplantıda sunularak tam metin olarak yayımlanan bildiri
  • 1KESHAVARZI A., Sur K., KAYA F., Siyalarz S. R. (2024). Comparison of geospatial based interpolation techniques for spatial distribution of Soil Organic Carbon (SOC). 9th Advanced Engineering Days, Temmuz 9, Tabriz, 476-479.
  • 2Siyalarz S. R., KESHAVARZI A., KAYA F. (2024). Empirical Bayesian Kriging for Soil Available Phosphorus Mapping. 9th Advanced Engineering Days, Temmuz 9-10, Tabriz, 473-475.
  • 3KAYA F., Adeniyi O. D. (2024). The spatial variability of different levels of electrical conductivity (EC) in croplands remains poorly captured by various remote sensing-based indices. Salt-affected soils: threats and potentials – Proceedings of the joint meeting of INSAS and SUSTAIN, Mayıs 27, Valensiya, 72-73.
  • 4KAYA F., BAŞAYİĞİT L. (2024). Machine learning models for pedotransfer functions and an insight into transferability: Use of open access LUCAS 2015 data in the Mediterranean biogeographic region for pH and CaCO3. Centennial Celebration and Congress of the International Union of Soil Sciences, Mayıs 19-21, Florence.
  • 5KAYA F., BAŞAYİĞİT L. (2023). Digital soil mapping in Türkiye: Insights from a systematic bibliometric analysis. International Soil Science Symposium on “SOIL SCIENCE &amp; PLANT NUTRITION” (9th International Scientific Meeting), Aralık 8-9, Samsun, 73-78.
  • 6KAYA F., KAPLAN G., BAŞAYİĞİT L. (2022). A quantitative and qualitative assessment from official statistics to spatial statistics: Agricultural greenhouses detection over time integrating of remote sensing and transfer learning-based machine learning approach. 5th Intercontinental Geoinformation Days (IGD), Aralık 14-15, New Delhi, 77-81.
  • 7KAYA F., FERHATOGLU C., TURGUT Y. Ş., BAŞAYİĞİT L. (2022). State of art approaches, insights, and challenges for digital mapping of electrical conductivity as a dynamic soil property. INTERNATIONAL SOIL SCIENCE SYMPOSIUM on SOIL SCIENCE &amp; PLANT NUTRITION (7th International Scientific Meeting), Aralık 2-3, Samsun, 75-82.
  • 8GOPP N., KAYA F., KESHAVARZI A. (2022). Field‐scale digital soil mapping of mobile zinc: Combining different digital covariates and comparing geostatistical and machine learning models. INTERNATIONAL SOIL SCIENCE SYMPOSIUM on SOIL SCIENCE &amp; PLANT NUTRITION (7 th International Scientific Meeting), Aralık 2-3, Samsun, 199-204.
  • 9KESHAVARZI A., KAYA F., KAPLAN G., BAŞAYİĞİT L. (2022). Land cover classification in an arid landscape of Iran using Landsat 8 OLI science products: Performance assessment of machine learning algorithms. 4th Intercontinental Geoinformation Days (IGD), Haziran 20-20, Tabriz.
  • 10KAYA F., Meşe O., BAŞAYİĞİT L. (2022). Geostatistical-based mapping of topsoil texture in Fluvisols and Vertisols around Lake of Manyas. 4th Intercontinental Geoinformation Days (IGD), Haziran 20-20, Tabriz.
  • 11KAYA F., BAŞAYİĞİT L. (2022). Spatial Predictability of Salinity Hazard with Machine Learning Algorithms and Digital Data in the Irrigation Plain. Global Symposium on Salt-affected Soils (GSAS21), Mayıs 5-5, Rome, 63-64.
  • 12KAYA F., BAŞAYİĞİT L. (2022). The Effect of Spatial Resolution of Environmental Variables on the Performance of Machine Learning Models in Digital Mapping of Soil Phosphorus. IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium 2022 (M2GARSS 2022), Mart 7-7, İstanbul, 169-172.
  • 13KAYA F., BAŞAYİĞİT L., DEDEOĞLU M., KESHAVARZI A. (2021). Digital soil mapping of AWC in arable lands: Comparison of different machine learning models. International Soil Science Symposium on “SOIL SCIENCE &amp; PLANT NUTRITION", Aralık 20-20, Samsun, 80-85.
  • 14KESHAVARZI A., ERTUNÇ G., KAYA F. (2021). Digital mapping of soil copper contamination: comparison of gaussian process regression and random forest models. International Soil Science Symposium on “SOIL SCIENCE &amp; PLANT NUTRITION", Aralık 19-19, Samsun, 62-65.
  • Uluslararası toplantıda poster, sözlü sunum ile gösterimleri
  • 1KAYA F., BAŞAYİĞİT L. (2021). Digital Mapping of Soil Organic Matter Using Open Source Accessible Products of ESA® in Arable Plain. ESA-ECMWF WORKSHOP Machine Learning for Earth System Observation and Prediction, ESA-ESRIN, Kasım 15-16, Frascati.

HABERLER

» Tüm Haberler

DUYURULAR

» Tüm Duyurular