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http://dx.doi.org/10.14400/JDC.2021.19.12.331

Smart Farm Control System for Improving Energy Efficiency  

Choi, Minseok (Division of AI Informatics, Sahmyook University)
Publication Information
Journal of Digital Convergence / v.19, no.12, 2021 , pp. 331-337 More about this Journal
Abstract
The adaptation of smartfarm technology that converges ICT is increasing productivity and competitiveness in the agriculture. Technologies have been developed that enable environmental monitoring through various sensors and automatic control of the cultivation environment, and researches are underway to advance smartfarm technology using data generated from smartfarms. In this paper, an environmental control method to reduce the energy consumption of a smartfarm by using the environment and control data of the smartfarm is proposed. It was confirmed that energy consumption could be reduced compared to an independent environmental control method by creating an environmental prediction model using accumulated environmental data and selecting a control method to minimize energy consumption in a given situation by considering multiple environmental factors. In the future, research is needed to obtain higher energy efficiency through the advancement of the predictive model and the improvement of the complex control algorithms.
Keywords
smart farm; energy efficiency; environmental control; environmental prediction; machine learning;
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