Scopus
A new suggestion for an irrigation schedule with an artificial neural network
Journal of Experimental and Theoretical Artificial Intelligence · Mart 2013
Makale Bilgileri
DergiJournal of Experimental and Theoretical Artificial Intelligence
Yayın TarihiMart 2013
Cilt / Sayfa25 · 93-104
Scopus ID2-s2.0-84873604090
Özet
This study used artificial neural networks (ANNs) to propose a new system of irrigation ratios and time intervals. Data on soil moisture, soil type, product type and time interval were used as input parameters for the ANN and the network was trained through the Levenberg-Marquardt learning algorithm. The outputs of the model determined the water requirement of the plant and the irrigation time intervals. The aim of this study is to perform irrigation at night, to reduce water losses from evaporation and thereby promote water conservation. In addition, the study aimed to save on energy, as less irrigation would be provided compared to daytime irrigation. The system was tested in a strawberry orchard of 1000 m2 in the Serik district of Antalya, Turkey. The trial achieved a 20.46% water saving and 23.9% energy saving. © 2013 Copyright Taylor and Francis Group, LLC.
Yazarlar (3)
1
Naim Karasekreter
ORCID: 0000-0003-2892-6430
2
Fatih Başçiftçi
3
Uǧur Fidan
Anahtar Kelimeler
artificial neural network
energy saving
irrigation
irrigation automation
water saving
Kurumlar
Faculty of Engineering
Kadikoy Turkey
Faculty of Technical Education
Karabuk Turkey
Metrikler
32
Atıf
3
Yazar
5
Anahtar Kelime