Smart Precision Agriculture With Autonomous Irrigation System Using Rnn-Based Techniques

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