A new suggestion for an irrigation schedule with an artificial neural network

Küçük Resim Yok

Tarih

2013

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

TAYLOR & FRANCIS LTD

Erişim Hakkı

info:eu-repo/semantics/closedAccess

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 m(2) in the Serik district of Antalya, Turkey. The trial achieved a 20.46% water saving and 23.9% energy saving.

Açıklama

Anahtar Kelimeler

artificial neural network, energy saving, irrigation, water saving, irrigation automation

Kaynak

JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE

WoS Q Değeri

Q4

Scopus Q Değeri

Cilt

25

Sayı

1

Künye