References
- Atole. A., A. Asmar, A. Biradar, N. Kothawade, S. Sarode, and R. G. Khope. 2017. IoT based smart farming system. International Journal of Emerging Technologies and Innovative Research(www.jetir.org), April 2017, 4(4):29-31.
- Baek, J.H., and H.L. Lee. 2014. Design and implementation of crop-environmental control cloud systems based on growth patterns. The Korean Institute of Information Scientists and Engineers, Database Society Journal, 30(2):57-66 (in Korean).
- Beecham Research. 2014. Towards smart farming - agriculture embracing the IoT vision. https://www.beechamresearch.com/files/BRL%20Smart%20Farming%20Executive%20Summary.pdf.
- Canadas, J., J. A. Sanchez-Molina, F. Rodriguez, and I. M. del Aguila. 2017. Improving automatic climate control with decision support techniques to minimize disease effects in greenhouse tomatoes. Information Processing in Agriculture, 4(1):50-63. https://doi.org/10.1016/j.inpa.2016.12.002
- Gartner. 2017. Artificial intelligence, machine learning, and smart things promise an intelligent future. www.gartner.com/smarterwithgartner/gartners-top-10-technologytrends-2017/.
- Guerrini, F. 2015. The future of agriculture? smart farming. Forbes, http://www.forbes.com/sites/federicoguerrini/2015/18/the-future-of-agriculture-smart-farming/#5708f01a337c.
- Hameed, I., E. I. El-Madbouly, and M. I. Abdo. 2017. Reconfigurable adaptive fuzzy fault-hiding control for greenhouse climate control system. International Journal of Automation and Control, 11(2):164-187. https://doi.org/10.1504/IJAAC.2017.083297
- IRS Global Research. 2016. IoT-based smart agriculture and smart farm market forecasts and core technology development trends. http://www.irsglobal.com/.
- Kapnias, D., P. Ilias. 2016. Automated classification of land cover for the needs of CAP using Sentinel data. 22nd CPA/IACS conference, 24-25 Nov. 2016, Lisbon(Portugal).
- Lee, J.S., Y.G. Hong, G.H. Kim, D.H. Lee, S.R. Han, and D.H. Im. 2016. A study on development of cloud system for the smart greenhouse automatic control. The Korean Institute of Communications and Information Sciences, 19 Nov. 2016 Fall Conference. 61:559-560 (in Korean).
- Li, G., W. Zhang, and Y. Zhang. 2014. A design of the IOT gateway for agricultural greenhouse. Sensors & Transducers, 172(6):75.
- Liu, Y., and C. Bi. 2017. The design of greenhouse monitoring system based on ZigBee WSNs. In Computational Science and Engineering (CSE) and Embedded and Ubiquitous Computing (EUC), 2017 IEEE International Conference. l(2):430-433.
- Michael J. O'Grady, and Gregory M.P. O'Hare, 2017, Modelling the smart farm, information, processing in agriculture, ISSN 2214-3173, http://dx.doi.org/10.1016/j.inpa.2017.05.001.
- Rural Development Administration(RDA), 2016, Big-data utilization for smart farm proper management (Tomato) p.66-72 (in Korean).
- Xin, J.N., and F. Zazueta. 2016. Technology trends in ICT -towards data-driven, farmer-centered and knowledge-based hybrid cloud architectures for smart farming. Agricultural Engineering International: CIGR Journal, 18(4):275-279.
- Yeo, U.H., I.B. Lee, K.S. Kwon, T.H. Ha, S.J. Park, R.W. Kim, and S.Y. Lee. 2016. Analysis of research trend and core technologies based on ICT to materialize smart-farm. Protected Horticulture and Plant Factory, 25(1):30-41 (in Korean). https://doi.org/10.12791/KSBEC.2016.25.1.30