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NTIS 바로가기한국정보통신학회논문지 = Journal of the Korea Institute of Information and Communication Engineering, v.24 no.1, 2020년, pp.130 - 133
Lee, Woongsup (Department of Information and Communication Engineering, Institute of Marine Industry, Gyeongsang National University) , Sung, Kil-Young (Department of Information and Communication Engineering, Gyeongsang National University) , Ban, Tae-Won (Department of Information and Communication Engineering, Institute of Marine Industry, Gyeongsang National University) , Ham, Young Hwa (Agrirobotech Co., Ltd.)
Smart pig farm which is based on IoT has been widely adopted by many pig farmers. In order to achieve optimal control of smart pig farm, the relation between environmental conditions and performance metric should be characterized. In this study, the relation between multiple environmental conditions...
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W. Lee, K. -H. Han, H. -T. Kim, H. Choi, Y. Ham, and T. -W. Ban, "Prediction of Average Daily Gain of Swine based on Machine Learning," Journal of Intelligent Fuzzy Systems, vol. 36, no. 2, pp. 923-933, Mar. 2019.
S. Nitikanchana, S. Dritz, M. Tokach, J. DeRouchey, R. Goodband, and B. White, "Regression Analysis to Predict Growth Performance from Dietary Net Energy in Growing-finishing Pigs," Journal of Animal Science, vol. 93, no. 6, pp. 2826-2839, Jun. 2015.
M. Ryu, J. Yun, T. Miao, I. Ahn, S. Choi, and J. Kim, "Design and Implementation of A Connected Farm for Smart Farming System," in Proc. of IEEE SENSORS, Busan, South Korea, Nov. 2015.
M.S. Lee, and Y.C. Choe, "Forecasting Sow's Productivity using the Machine Learning Models," Journal of Agricultural Extension & Community Development, vol. 16, no. 4, pp. 939-965, Dec. 2009.
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