• Journal of Intelligence and Information Systems
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• v.24 no.1
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• pp.125-140
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• 2018

As one of the processes in the manufacturing industry, quality inspection inspects the intermediate products or final products to separate the good-quality goods that meet the quality management standard and the defective goods that do not. The manual inspection of quality in a mass production system may result in low consistency and efficiency. Therefore, the quality inspection of mass-produced products involves automatic checking and classifying by the machines in many processes. Although there are many preceding studies on improving or optimizing the process using the data generated in the production process, there have been many constraints with regard to actual implementation due to the technical limitations of processing a large volume of data in real time. The recent research studies on big data have improved the data processing technology and enabled collecting, processing, and analyzing process data in real time. This paper aims to propose the process and details of applying big data for quality inspection and examine the applicability of the proposed method to the dairy industry. We review the previous studies and propose a big data analysis procedure that is applicable to the manufacturing sector. To assess the feasibility of the proposed method, we applied two methods to one of the quality inspection processes in the dairy industry: convolutional neural network and random forest. We collected, processed, and analyzed the images of caps and straws in real time, and then determined whether the products were defective or not. The result confirmed that there was a drastic increase in classification accuracy compared to the quality inspection performed in the past.

• Journal of Dairy Science and Biotechnology
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• v.33 no.1
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• pp.69-73
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• 2015

The world is presently facing key challenges due to the population explosion, shortages in renewable sources of energy, and environmental problems. One important aspect of ecological intensification is the use and improvement of marginal lands and spaces often ignored, until now. Goats are known to be well adapted to scrubs, forage trees, and rangelands. Goats could contribute marginally, but significantly, to the growing demand for meat without using arable lands. Since 2000, there were 752 million goats globally, and goat livestock increased by 26.8% in 2010, accounting for 954 million heads. Goats are widespread due to their high adaptability to different environmental conditions and nutritional regimes, high productivity, and low maintenance cost. A significant growth in goat number was noticed in the period 2000~2010 in the Netherlands (+113.83%), in spite of the 9.75% decrease in EU-27. A cheese making goat farm in the Netherlands showed how it can survive in the one fifth size of the average. It may be a good model for the Korean goat industry since it uses seasonal breeding and results in reduced "goaty" flavor in the cheese.

• Food Industry
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• s.206
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• pp.26-41
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• 2008

Recently, Korea have experienced numbers of FTAs with other countries, including Chile, EFTA(European Free Trade Association), Singapore, ASEAN(Association of South-East Asian Nations), and U.S. In particular, FTA with U.S. are expected to cause huge impact on food markets as well as agricultural sector in Korea. Many researches have analyzed and discussed about the impact on agricultural sector after Korean-U.S. FTA, but very small number of studies focus on the impact of Korean-U.S. FTA on food markets. The purpose of the paper is to discuss the impact of Korea-U.S. FTA on Korean dairy market. For the numerical simulations, this paper focus on the impact on cheese and butter markets. The results of numerical analysis in the paper will be helpful for the future research, because few (maybe no) studies conduct the numerical analysis to measure the impact of Korea-U.S. FTA on Korean food market.

• Journal of Embryo Transfer
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• v.26 no.4
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• pp.271-276
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• 2011

This study was focused on improvement of milk production in Mongolian dairy industry by artificial insemination (AI) technology, supported by ODA of KOICA in Republic of Korea. This program was started in January 2009 and it is in $3^{rd}$ years. This manuscript summarized the data especially on estrus synchronization and pregnancy establishment in dairy cows (Holstein) this year. A total of 81 dairy cows from 4 private farms (38 from Undarmal milk and that of 30, 8 and 5 dairy cows from Onjin (Enkhbayer), Jargalant, and BRM School farms respectively) were synchronized with 5 ml Lutalyse (i.m.) in the dump of dairy cows and then estrus was detected 2 to 3 days after $PGF_{2{\alpha}}$ injection. The synchronized dairy cows were inseminated with 0.5 ml dairy frozen semen by conventional artificial insemination (AI) techniques. Pregnancy was diagnosed about 60 days after AI by palpation method. About 96.3% (78/81) of synchronized cows were responded to single $PGF_{2{\alpha}}$ injection. Total 75 over 78 dairy cows (90.1%) inseminated were diagnosed as pregnant. The estrus induction and pregnancy rates were very effective using Lutalyse injection and conventional AI techniques in Mongolian dairy cow. The present results indicated that AI after estrus induction in Mongolian dairy cows could be applied to dairy breeding technology for improving breeding efficiency and milk production of the country.

• Journal of Dairy Science and Biotechnology
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• v.18 no.1
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• pp.22-37
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• 2000

In spite of adverse circumstances, dairy food industry of Korea has been developed continuously with the every efforts of farmers, processors, researchers and government officers. Development and extension of new technology, such as safety assurance, improvement of nutritive ingredient, and keeping freshness are very important issues considering short shelf life of dairy products which are prevalent in Korea. In addition to, demands for advanced technology would be increased rapidly with the increase of consumption development of high quality products supply structure, decrease of production basis, and appearance of environmental problems. And demands for information about standard would be enlarged. Development of new products and technology for quality improvement should be evolved with the application of developed technology and cooperation of relative institutes in order to enlarge the consumption of milk and dairy products. In conclusion, efficient production on the basis of balance and development of dairy products which are safe and high quality are the most important subjects for the development of dairy industry in Korea.

• Food Science of Animal Resources
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• v.44 no.4
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• pp.739-757
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• 2024

Camel milk plays a critical role in the diet of peoples belongs to the semi-arid and arid regions. Since prehistoric times, camel milk marketing was limited due to lacking the processing facilities in the camel-rearing areas, nomads practiced the self-consumption of raw and fermented camel milk. A better understanding of the techno-functional properties of camel milk is required for product improvement to address market and customer needs. Despite the superior nutraceutical and health promoting potential, limited camel dairy products are available compared to other bovines. It is a challenging impetus for the dairy industry to provide diversified camel dairy products to consumers with superior nutritional and functional qualities. The physicochemical behavior and characteristics of camel milk is different than the bovine milk, which poses processing and technological challenges. Traditionally camel milk is only processed into various fermented and non-fermented products; however, the production of commercially important dairy products (cheese, butter, yogurt, and milk powder) from camel milk still needs to be processed successfully. Therefore, the industrial processing and transformation of camel milk into various products, including fermented dairy products, pasteurized milk, milk powder, cheese, and other products, require the development of new technologies based on applied research. This review highlights camel milk's processing constraints and techno-functional properties while presenting the challenges associated with processing the milk into various dairy products. Future research directions to improve product quality have also been discussed.

• 제어로봇시스템학회:학술대회논문집
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• 1987.10b
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• pp.335-339
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• 1987

In this report, automatic packing equipment for dairy milk is presented. For food industry, Pneumatic System is widely applied because of it's environments. So, for the actuation, signal processing and sensing of this auto-packer, all pneumatic equipments was applied.

• Proceedings of the Korean Society for Food Science of Animal Resources Conference
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• 1996.06a
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• pp.18-18
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• 1996

• Food Science and Industry
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• v.47 no.4
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• pp.45-54
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• 2014

• Food Science of Animal Resources
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• v.28 no.1
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• pp.1-8
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• 2008

More safe and natural food was recently needed by consumers. Antimicrobials including sodium azide, penicillin, and vancomycin were used for therapeutic agents against pathogens such as Listeria monocytogenes, Staphylococcus aureus, Escherichia coli O157:H7 in dairy and meat industry. These antimicrobials and preservatives were prohibited in stock farm and food because they were caused resistant strain and side effects. Bacteriocins are proteinaceous compounds that may present antimicrobial activity towards important food-borne pathogens and spoilage-related microflora. Therefore, bacteriocins were reported as an alternative of antimicrobials. Due to these properties, bacteriocin-producing strains or purified bacteriocins have a great potential of use in biologically based food preservation systems. Despite the growing number of articles regarding on the isolation of bacteriocinogenic strains, genetic determinants for production, purification and biochemical characterization of these inhibitory substances, there are only limited reports of successful application of bacteriocins to dairy and meats. This review describes bacteriocins related to dairy and meat products for the further use.