참고문헌 (14)

1. Woongsup Lee, Jongyeol Ryu, Tae-Won Ban, Seong Hwan Kim, Heechul Choi, "Prediction of Water Usage in Pig Farm based on Machine Learning", Journal of the Korea Institute of Information and Communication Engineering, Vol. 21, No. 8 : 1560~1566 Aug. 2017. 

2. K. Han, W. Lee, and K. Sung, "Development of a model to analyze the relationship between smart pig-farm environmental data and daily weight increase based on decision tree," Journal of Korea Institute of information and communication engineering, vol. 20, no. 12, pp.2348-2354, Dec. 2016. 

3. S. Shahinfar, D. Page, J. Guenther, V. Cabrera, P. Fricke and K. Weigel, "Prediction of insemination outcomes in Holstein dairy cattle using alternative machine learning algorithms," Journal of dairy science, vol. 97, no. 2, pp.731-742, Feb. 2014. 

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4. W. Lee, S. Kim, J. Ryu, and T. Ban, "Fast Detection of Disease in Livestock based on Deep Learning," Journal of Korea Institute of information and communication engineering, vol. 21, no. 5, pp.1009-1015, May 2017. 

5. M. A. Kashiha, C. Bahr, S. Ott, C. P. Moons, T. A. Niewold, F. Tuyttens and D. Berckmans, "Automatic monitoring of pig locomotion using image analysis," Livestock Science, vol. 159, no. 1, pp.141-148, Jan. 2014. 

6. S. J. Roberts, R. Cain and M. S. Dawkins, "Prediction of welfare outcomes for broiler chickens using Bayesian regression on continuous optical flow data," Journal of the Royal Society interface, vol. 9, no. 77, pp.3436-3443, Sep. 2012. 

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7. K. Kim, K. Kim, J. Kim, K. Seol, J. Hong, Y. Jung, J. Park, and Y. Kim, "Changes of serum electrolytes and hematological profiles in Yorkshire at a high ambient temperature" Journal of Agriculture and Life Science, vol. 49, no. 1, pp.103-113, Nov. 2014. 

8. B. Fridrich, D. Krcmar, B. Dalmacija, J. Molnar, V. Pesic, M. Kragulj, and N. Varga, "Impact of wastewater from pig farm lagoons on the quality of local groundwater," Agricultural Water Management, vol. 135, no. 1, pp. 40-53, Mar. 2014. 

9. Bong-Hyun Kim, "Implementation of Feeding Management Service Model based on Pig Raising Data", Journal of Digital Convergence, Vol. 19. No. 10, pp. 105-110, 2021. 

10. J, Yu, P. Yin, F, Liu, G. Cheng, K. Guo, A. Lu, X. Zhu, W. Luan, J. Xu, "Effect of heat stress on the porcine small intestine: a morphological and gene expression study", Comparative Biochemistry and Physiology Part A: Molecular & Integrative Physiology, vol. 156, no. 1, pp. 119-128, 2010. 

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11. M. Onderci, K. Sahin, N. Sahin, M. F. Gursu, D. Doerge, F. H. Sarkar, O. Kucuk O, "The effect of genistein supplementation on performance and antioxidant status of Japanese quail under heat stress", Archives of Animal Nutrition, vol. 58, no. 6, pp. 463-471, 2004. 

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12. Z. Y. Zhang, G. Q. Jia, J. J. Zuo, Y. Zhang, J. Lei, L. Ren, D. Y, Feng, "Effects of constant and cyclic heat stress on muscle metabolism and meat quality of broiler breast fillet and thigh meat", Poultry Science, vol. 91, no. 11, pp. 2931-2937, 2012. 

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13. R. C. Wolp, N. E. B. Rodrigues, M. G. Zangeronimo, V. S. Cantarelli, E. T. Fialho, R. Philomeno, R. R. Alvarenga, L. F. Rocha, "Soybean oil and crude protein levels for growing pigs kept under heat stress conditions", Livestock Science, vol. 147, no. 1, pp.148-153, 2012. 

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14. D. W. Kim, Y. H. Kim, K. S. Kim, K. H. Kim, "Effect of mixing of suckling piglets on change of body surface temperature in sows and piglets", Journal of the Korea Academia-Industrial cooperation Society, vol. 18, no. 1, pp. 135-140, 2017. 

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