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Statistical and Visual Evaluation of Artificial Neural Networks and Multiple Linear Regression Performances in Estimating Reference Crop Evapotranspiration for Mersin

Fatma Bunyan Unel Lutfiye Kusak Murat Yakar Abdullah Sahin Hakan Dogan Fikret Demir

Revue Internationale de Géomatique2025，Vol.34Issue(1)：P.433-460,28.

Revue Internationale de Géomatique2025，Vol.34Issue(1)：P.433-460,28.DOI:10.32604/rig.2025.065502

Statistical and Visual Evaluation of Artificial Neural Networks and Multiple Linear Regression Performances in Estimating Reference Crop Evapotranspiration for Mersin

Fatma Bunyan Unel ¹Lutfiye Kusak ¹Murat Yakar ¹Abdullah Sahin ²Hakan Dogan ³Fikret Demir⁴

作者信息

1. Department of Geomatics Engineering,Engineering Faculty,Ciftlikkoy Campus,Mersin University,Mersin,33343,Turkiye
2. T.C.Governorship of Adana,Adana,01060,Turkiye
3. Turkish State Meteorological Service,Ankara,06120,Turkiye
4. Mersin Provincial Directorate of Meteorology Department,Mersin,33130,Turkiye
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摘要

关键词

Penman-monteith/reference crop evapotranspiration/multiple linear regression/artificial neural networks/IDWinterpolation

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农业科技

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Fatma Bunyan Unel,Lutfiye Kusak,Murat Yakar,Abdullah Sahin,Hakan Dogan,Fikret Demir..Statistical and Visual Evaluation of Artificial Neural Networks and Multiple Linear Regression Performances in Estimating Reference Crop Evapotranspiration for Mersin[J].Revue Internationale de Géomatique,2025,34(1):P.433-460,28.

Revue Internationale de Géomatique

ISSN：1260-5875

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