Smart Precision Agriculture With Autonomous Irrigation System Using Rnn-Based Techniques
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Date
2017
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MEF Üniversitesi, Fen Bilimleri Enstitüsü
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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.
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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
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Anuşlu, T. (2017). Smart precision agriculture with autonomous irrigation system using rnn-based techniques, MEF Üniversitesi Fen Bilimleri Enstitüsü, İstanbul, Türkiye
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Sustainable Development Goals
3
GOOD HEALTH AND WELL-BEING
4
QUALITY EDUCATION
5
GENDER EQUALITY
10
REDUCED INEQUALITIES
11
SUSTAINABLE CITIES AND COMMUNITIES
16
PEACE, JUSTICE AND STRONG INSTITUTIONS
17
PARTNERSHIPS FOR THE GOALS
