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http://dx.doi.org/10.14400/JDC.2021.19.10.105

Implementation of Feeding Management Service Model based on Pig Raising Data  

Kim, Bong-Hyun (Department of Computer Engineering, Seowon University)
Publication Information
Journal of Digital Convergence / v.19, no.10, 2021 , pp. 105-110 More about this Journal
Abstract
The pig ICT automatic feeder is capable of automatically feeding feed, etc. according to the set conditions. However, there is a disadvantage that the setting condition itself must depend on the user's experience. Therefore, trial and error is caused, and there is a problem that the efficiency is lowered. Therefore, it is necessary to develop a system and implement a service model that can improve pig productivity by suggesting optimal feeding setting conditions based on data. Therefore, in this paper, a pig feeding management service model was developed using the performance analysis program such as the existing feeding data, breeding management data, and pig production management system. Through this, we developed a consumer-oriented feed management service model that can be efficiently utilized by analyzing pig data. In addition, it is possible to provide a service that contributes to a decrease in the mortality rate and an increase in the MSY of the farms with the intelligent automatic feeding management service, thereby improving the productivity of the pig farms and thereby increasing the income of the pig farms.
Keywords
Feed management; Feed data; Pig data; Pig ICT; Big data;
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1 T. H. Kim & J. S. Han. (2017). Agricultural Management Innovation through the Adoption of Internet of Things: Case of Smart Farm. Journal of Digital Convergence, 15(3), 65-75. DOI : 10.14400/JDC.2017.15.3.65   DOI
2 Li, Biao. Zeng, Qinghua. Song, Yukun. Gao, Zhendong. Jiang, Liang. Ma, Haiming & He, Jun. (2020). The effect of fly maggot in pig feeding diets on growth performance and gut microbial balance in Ningxiang pigs. Journal of Animal Physiology and Animal Nutrition, 104(6), 1867-1874. DOI : 10.1111/jpn.13248   DOI
3 C. Priyanka, B. Ankita & C. Harsh. (2018). Smart Irrigation and Remote Farm Monitoring System. International Journal of Computer Applications, 180(24), 24-26. DOI : 10.5120/ijca2018917011   DOI
4 B. H. Kim. (2020). Study on Next-generation Smart Farm Business Model Optimization Based on Heterogeneous System Integration. Journal of Next-generation Convergence Technology Association, 4(3), 265-271. DOI : 10.33097/JNCTA.2020.04.03.265   DOI
5 Hashem, Nesrein M. & Gonzalez-Bulnes, Antonio. (2020). State-of-the-Art and Prospective of Nanotechnologies for Smart Reproductive Management of Farm Animals. Animals, 10(5), 840. DOI : 10.3390/ani10050840   DOI
6 M. H. Ahn & C. M. Heo. (2019). The Effect of Technical Characteristics of Smart Farm on Acceptance Intention by Mediating Effect of Effort Expectation. Journal of Digital Convergence, 17(6), 145-157. DOI : 10.14400/JDC.2019.17.6.145   DOI
7 Shen, J. & Chang, S. (2018). A lightweight multi-layer authentication protocol for wireless body area networks. Future Gener Comp System, 78, 956-963.   DOI
8 Zhang, M. Ding, X. & Li, L. (2018). Screening of lactic acid bacteria feeding for pig, preparing of compound probiotics and its feeding effect on growing pigs. New biotechnology, 44, 81-82. DOI : 10.1016/j.nbt.2018.05.914   DOI
9 D. J. Shin & H. S. Yang. (2009). Design and implementation of an intrusion detection system based on outflow traffic analysis. Journal of Korea Content Association, 9(4), 131-141   DOI
10 Yichi Zhang, Yingmeng Xiang & Lingfeng Wang. (2017). Power System Reliability Assessment Incorporating Cyber Attacks Against Wind Farm Energy Management Systems. IEEE Transactions on Smart Grid, 8(5), 2343-2357. DOI : 10.1109/TSG.2016.2523515   DOI
11 S. G. Kwon, S. C. Kang & H. H. Tack. (2018). Implimentation of Smart Farm System Using the Used Smart Phone. Journal of the Korea Institute of Information and Communication, 22(11), 1524-1530. DOI : 10.6109/JKIICE.2018.22.11.1524   DOI
12 K. J. Kim. (2015). Trends and Prospects of Smart Farm Technology. Electronics and Telecommunications Trends, 30(5), 1-10. DOI : 10.22648/ETRI.2015.J.300501   DOI
13 B. Ekkarat, C. Oran & S. Anukit. (2018). Smart Farm: Applying the Use of NodeMCU, IOT, NETPIE and LINE API for a Lingzhi Mushroom Farm in Thailand. IEICE Transactions on Communications, 101(1), 16-23. DOI : 10.1587/transcom.2017ITI0002   DOI
14 H. Gan & W. S. Lee. (2018). Development of a Navigation System for a Smart Farm. IFAC-PapersOnLine, 51(17), 1-4. DOI : 10.1016/j.ifacol.2018.08.051   DOI
15 M. Jirapond, B. Nathaphon, K. Siriwan, L. Narongsak & Wani. (2019). IoT and agriculture data analysis for smart farm. Computers and electronics in agriculture, 156, 467-474. DOI : 10.1016/j.compag.2018.12.011   DOI
16 S. Y. Joo & G. S. Yeom. (2017). A Study on Integrated Management Platform for Smart Farm. Proceedings of the Korea Information Processing Society Conference, 450-453. DOI : 10.3745/PKIPS.Y2017M04A.450   DOI
17 Mahjabin, T, Xiao, Y & Sun, G. (2017). A survey of distributed denial-of-service attack, prevention, and mitigation techniques. Int J Distrib Sens N., 13(12), 1-33.