Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11779/1159
Title: | Smart precision agriculture with autonomous irrigation system using rnn-based techniques | Other Titles: | Yapay sınır ağlarına dayanan teknikler kullanan otonom sulama sistemleri ile akıllı hassas tarım | Authors: | Anuşlu, Timuçin | Advisors: | Özlük, Özgür | Keywords: | Long Short-Term Memory Networks Recurrent Neural Network Smart Precision Agriculture Irrigation System Internet of Things Uzun Kısa-Vadeli Hafıza Ağları Yinelenen Yapay Sinir Ağları Akıllı Hassas Tarım Sulama Sistemleri Nesnelerin İnterneti |
Publisher: | MEF Üniversitesi, Fen Bilimleri Enstitüsü | Source: | Anuşlu, T. (2017). Smart precision agriculture with autonomous irrigation system using rnn-based techniques, MEF Üniversitesi Fen Bilimleri Enstitüsü, İstanbul, Türkiye | Abstract: | The study presents a solution to improve freshwater usage for irrigation in the agriculture by building a neural network model to predict soil moisture at 20 cm level with time series data over longer periods of time. | URI: | https://hdl.handle.net/20.500.11779/1159 |
Appears in Collections: | FBE, Yüksek Lisans, Proje Koleksiyonu |
Files in This Item:
File | Description | Size | Format | |
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TimuçinAnuşlu.pdf | YL-Proje Dosyası | 10.1 MB | Adobe PDF | View/Open |
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