Zobrazeno 1 - 10 of 10 pro vyhledávání: '"Sevda Taşan"'
1
Akademický článek
Estimation of groundwater quality using an integration of water quality index, artificial intelligence methods and GIS: Case study, Central Mediterranean Region of Turkey
Autor: Sevda Taşan
Publikováno v: Applied Water Science, Vol 13, Iss 1, Pp 1-23 (2022)
Abstract Groundwater is one of the most important natural resources in the world and is widely used for irrigation purposes. Groundwater quality is affected by various natural heterogeneities and anthropogenic activities. Consequently, monitoring gro
Externí odkaz: https://doaj.org/article/7a7cbda352b44a38b719b691c9eb33b6
Zobrazit plný text záznamu
2
Akademický článek
Groundwater quality assessment using principal component analysis and hierarchical cluster analysis in Alaçam, Turkey
Autor: Mehmet Taşan, Yusuf Demir, Sevda Taşan
Publikováno v: Water Supply, Vol 22, Iss 3, Pp 3431-3447 (2022)
This study assessed groundwater quality in Alaçam, where irrigations are performed solely with groundwaters and samples were taken from 35 groundwater wells at pre and post irrigation seasons in 2014. Samples were analyzed for 18 water quality param
Externí odkaz: https://doaj.org/article/93612486110b4c25b6c4f7057b493c33
Zobrazit plný text záznamu
3
Yarı nemli bir bölgede günlük referans bitki su tüketiminin tahmini için üç farklı makine öğrenimi (YSA, RT ve GPR) modellerinin geliştirilmesi ve karşılaştırılması
Autor: Sevda TAŞAN, Mehmet TAŞAN
Publikováno v: ANADOLU JOURNAL OF AGRICULTURAL SCIENCES.
Su kaynaklarının planlanması ve tarımsal su yönetimi için referans bitki su tüketiminin (ET0) doğru tahmin edilmesi oldukça önemlidir. Bu çalışmada üç farklı makine öğrenimi yönteminin, yapay sinir ağları (YSA), rassal ağaç (RT
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4730358b093b1a954338202ea236dd00
https://doi.org/10.7161/omuanajas.1211716
Zobrazit plný text záznamu
5
Assessment of Data-based Models (ANN, ANFIS and SVR) for Estimation of Exchangeable Sodium Percentage (ESP) of Bafra Plain Soils
Autor: Yusuf Demir, Sevda Taşan
Publikováno v: Communications in Soil Science and Plant Analysis. 53:199-213
The objective of the present study was to estimate the exchangeable sodium percentage (ESP) of the soil from the Bafra plain utilizing easily determined soil characteristics (EC and pH) with the use of artificial intelligence-based models. A total of
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9ae089ea4b9c295e5495b3235cafca5
https://doi.org/10.1080/00103624.2021.1984515
Zobrazit plný text záznamu
6
Estimation and uncertainty analysis of groundwater quality parameters in a coastal aquifer under seawater intrusion: a comparative study of deep learning and classic machine learning methods
Autor: Mehmet Taşan, Sevda Taşan, Yusuf Demir
Publikováno v: Environmental science and pollution research international.
Excessive withdrawal of groundwater for agricultural irrigation can cause seawater intrusion into coastal aquifers. Such a case will in turn results in deterioration of irrigation water quality. Determination of irrigation water quality with traditio
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01fabc51b7ec7b927e81c269d338c48e
https://pubmed.ncbi.nlm.nih.gov/35941499
Zobrazit plný text záznamu
7
Comparative Analysis of MLR, ANN, and ANFIS Models for Prediction of Field Capacity and Permanent Wilting Point for Bafra Plain Soils
Autor: Yusuf Demir, Sevda Taşan
Publikováno v: Communications in Soil Science and Plant Analysis. 51:604-621
TASAN, Sevda/0000-0002-4335-4074 WOS: 000515046300001 Soil hydraulic parameters like moisture content at field capacity and permanent wilting point constitute significant input parameters of various biophysical models and agricultural practices (irri
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d317013241e65ca163e34568539cff45
https://doi.org/10.1080/00103624.2020.1729374
Zobrazit plný text záznamu
9
Evaluation of spatial and temporal changes of soil salinity and sodicity using geostatistic methods: the case of Bafra plain
Autor: Sevda Taşan, Yusuf Demir
Publikováno v: Volume: 34, Issue: 3 336-350
Anadolu Tarım Bilimleri Dergisi
Anadolu Tarım Bilimleri Dergisi, Vol 34, Iss 3, Pp 336-350 (2019)
Sulu tarım alanlarında uygun sulama yönetimininseçimi ve sulama suyu kalitesine bağlı olarak tuzlulaşma problemleri iledrenajın yönetimi sürdürülebilirliği etkileyen önemli faktörlerdir. Topraktuzluluğu ve sodiklik sulanan tarım alan
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd21616a971e83f544e09ada9df6e580
https://doi.org/10.7161/omuanajas.557601
Zobrazit plný text záznamu
10
Akademický článek
Machine learning techniques in estimation of eggplant crop evapotranspiration
Autor: Bilal Cemek, Sevda Tasan, Aslıhan Canturk, Mehmet Tasan, Halis Simsek
Publikováno v: Applied Water Science, Vol 13, Iss 6, Pp 1-30 (2023)
Abstract This study predicted the daily evapotranspiration of eggplant (Solanum melongena L.) under full and deficit irrigation in the Bafra district of Samsun province, Turkey, using machine learning methods. Artificial neural networks (ANNs), deep
Externí odkaz: https://doaj.org/article/905f5fc63b2547d5aa11cee23a6989ab
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje