Machine learning techniques in estimation of eggplant crop evapotranspiration

Machine learning techniques in estimation of eggplant crop evapotranspiration

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 neural networks (DNN), M5 model tree (M5Tree), ran...

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Bibliographic Details
Main Authors: Bilal Cemek, Sevda Tasan, Aslıhan Canturk, Mehmet Tasan, Halis Simsek
Format: Article
Language:English
Published: SpringerOpen 2023-05-01
Series:Applied Water Science
Subjects:
Artificial neural network
Machine learning
Crop evapotranspiration
Eggplant
Semi-humid region
Online Access:https://doi.org/10.1007/s13201-023-01942-1

Internet

https://doi.org/10.1007/s13201-023-01942-1

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