A Study on the System Design of Eco-Friendly Smart Farm Using the Internet of Things and Renewable Energy
DOI:
https://doi.org/10.13052/spee1048-5236.4242Keywords:
Smart farm, Internet of Things, renewable energy, artificial intelligence, solar energyAbstract
The environment changes rapidly due to climate change. This situation has a great influence on the agricultural sector. In particular, prices of agricultural products rise as space for producing agricultural products around the world decreases. To solve this problem, smart farm is recognized as major technologies in the future society. In particular, in the era of the 4th Industrial Revolution, new technologies such as the Internet of Things (IOT) and artificial intelligence will be installed in smart farm. In addition, with the development of the Internet of Things (IOT) technology, temperature, humidity, and concentration of fluids in plant factories can be monitored and controlled with smart-phone through various sensors. This IoT technology is recognized as a very important technology for smart farm. In addition, a sustainable smart farm model by converging with eco-friendly IT technology is also important. Therefore, in this paper, a study was conducted on the system design of eco-friendly smart farm using the Internet of Thing. Such smart farm technology can remotely manage plants through the Internet of Things. The research methods of this study are as follows. First, a literature study was conducted in this paper. Based on this literature study, the researcher conducted a field survey on smart farm. The researcher visited this space in person and conducted in-depth interviews with operators and researchers. The researcher analyzed the results derived through this survey and suggested the design principle for the eco-friendly smart farm system. In addition, this study proposes a method for using the Internet of Things and renewable energy for smart farms in preparation for the era of climate change. The results of this study can be theoretical basic data for changes in the agricultural field in the era of the Fourth Industrial Revolution.
Downloads
References
Kwon Oh Hoon et al. 2021 A Study on the Smart Farm Characteristics Using Multiple Sensors. Journal of the KIECS. Vol. 16, No. 4, pp. 719–724.
Kim, Handon et al. 2021 Development of Building System for Achieving an Optimal Growth Environment in a Vertical Smart Farm. Korea Journal of Construction Engineering and Management. Vol. 22, No. 4, pp. 3–10.
Jung, Hyeon Ji et al. 2021 A Study on the Implementation of Smart Farm Environment Control System Using Unity and Photon. Journal of the Semiconductor & Display Technology. Vol. 20, No. 1, pp. 104–107.
Choi Hok Il et al. 2019 A Smart Farm Environment Optimization and Yield Prediction Platform based on IoT and Deep Learning. Journal of Korea Institute of Information, Electronics, and Communication Technology. Vol. 12, No. 6, pp. 672–680.
Lee, sangwon et al. 2020 Economic feasibility analysis of the renewable energy based business model in the agricultural sector and policy implications – Focusing on the “Smart Farms” using renewable energy. Innovation Studies. Vol. 15, No. 1, pp. 1–28.
Lim Gye Jae. 2015 A Design of IT-Convergence Plant Factory System Using the Renewable Energy. Information Processing in Agriculture. Vol. 40, No. 4, pp. 769–779.
Kim Chang-hum. 2018 A Study on the Revitalization of Smart Farm Using Service Design – Focused on the Plant Cultivation System for Urban Agriculture – Master’s thesis at Technology and Energy Korea Polytechnic University.
Kim Ha-Neul et al. 2014 Thermal Storage and Heating Effect by using Heat Pump and Surplus Solar Energy in Greenhouse. Journal of Agriculture & Life Science, 48(6), pp. 411–423.
Sung-Won Lee. 2013 Household Plant Factory Suppling a Constant PPFD, Master degree, Kyungpook National University, Korea.
Cheol-Gu Yoon. 2011 A Study on the LED Illumination Lamp Development and Application for Plant Factory, Doctoral degree, Hongik University, Korea.
https://aeeeuropeenergy.com/
