• Journal of Animal Environmental Science
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• v.15 no.2
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• pp.171-182
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• 2009

Conventionally, many pig producers have utilized a continual sow managements system that the matings, farrowings and weanings are done weekly basis. But this transitional method is not able to cut the cycle of diseases and fully apply all-in/all-out system because of the continuous flow of sows and pigs. Conventional weekly management system is currently limiting in small farm to work efficiently both for workers and pigs. Therefore, pig producers have found novel management methods for applying all-in/all-out system, improving pig health, leading to better growth, lowering mortality and reducing medication costs nowadays. Moreover, all-in/all-out pig management system has known as a strategy for improving productivity in swine farm. The batch system is one of the best management methods to adopt all-in/all-out pig management system that prevent spreading diseases in pig and remove cycle of diseases. Batch farrowing system is a concept for providing a group of sows that delivery within a specific farrowing interval and inducing a large enough scale of piglets to fill the weaner facilities. There are different types of batch farrowing system with batch size and interval of farrowing when several factors at the swine farm are considered such as total number of sows, available facilities in the farm, and the efficiency of workforce. Sow managements such as farrowing, weaning and breeding, every 3 weeks rather than weekly, 2 or 5-week interval have advantages for workers and reproductive cycle of sows as well as pig flow. Because there are several pros and cons both in weekly and batch management system, various factors should be considered to apply the most suitable management system in each individual farm. To improve poor swine productivity in Korea compared to ED, batch system for sows will be an alternative choice which is able to prevent high incidence of diseases in swine farm such as PMWS, PRRS, PRDC and PED because all-in/all-out pig management can be also applied automatically by using this management system.

• Journal of agriculture & life science
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• v.44 no.1
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• pp.33-42
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• 2010

This study was conducted to estimate the effects of breed, sex, Farm-Scale and environment on average daily gain, age at 90kg, backfat thickness, eye muscle area and lean percent of pig. The total number of pig used in this study was 30,525 head consisted of 5,902 Landrace, 18,022 Yorkshire, and 6,601 Duroc on 2004 to 2008. The covariance used in the model to adjust age at the final test. The average daily gain, age at 90kg, and lean percent were significantly superior in medium Farm-Scale. However Backfat thickness and Eye muscle Area were significantly superior in small Farm-Scale. In conclusion this study suggest that breed, sex, test year, test season, Farm-Scale and environment may affect to average daily gain, age at 90kg, backfat thickness, eye muscle area and lean percent. The study about the Farm-Scale has to do continually more than now, and this study will be contributed to development of the pig industry.

• Journal of The Korean Society of Agricultural Engineers
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• v.62 no.1
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• pp.71-81
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• 2020

Enclosed pig house are creating an environment with high concentrations of gas and dust. Poor conditions in pig farms reduce pig weight and increase disease and accidents for livestock workers. In the pig house, the high concentration of harmful gas may cause asphyxiation accidents to workers and chronic respiratory disease by long-term exposure. As pig farm workers have been aging and feminized, the damage to the health of the harsh environment is getting serious, and real-time monitoring is needed to prevent the damage. However, most of the measuring devices related to humidity, harmful gas, and fine dust except temperature sensors are exposed to high concentrations of gas and dust inside pig house and are difficult to withstand for a long time. The purpose of this study is to develop an wearable based device to monitor the hazardous environment exposed to workers working in pig farms. Based on the field monitoring and previous researches, the measurement range and basic specifications of the equipment were selected, and wearable based device was designed in terms of utilization, economic efficiency, size and communication performance. Selected H₂S and NH₃ sensors showed the average error of 5.3% comparing to standard gas concentrations. The measured data can be used to manage the working environment according to the worker's location and to obtain basic data for work safety warning.

• Journal of Korea Multimedia Society
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• v.25 no.4
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• pp.583-599
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• 2022

Although the object detection accuracy with a single image has been significantly improved with the advance of deep learning techniques, the detection accuracy for pig monitoring is challenged by occlusion problems due to a complex structure of a pig room such as food facility. These detection difficulties with a single image can be mitigated by using a video data. In this research, we propose a method in pig detection for video monitoring environment with a static camera. That is, by using both image processing and deep learning techniques, we can recognize a complex structure of a pig room and this information of the pig room can be utilized for improving the detection accuracy of pigs in the monitored pig room. Furthermore, we reduce the execution time overhead by applying a pruning technique for real-time video monitoring on an embedded board. Based on the experiment results with a video data set obtained from a commercial pig farm, we confirmed that the pigs could be detected more accurately in real-time, even on an embedded board.

• Korean Journal of Organic Agriculture
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• v.25 no.2
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• pp.489-498
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• 2017

This study was conducted to compare the mortality number of swine between before and after HACCP implementation on swine farm. Also, we analyzed the reason for implementing HACCP system, advantage and disadvantage of HACCP system implemented swine farm. The study was carried out by randomly selected fifty swine farms located in all around Korea. The results were as follows: The mortality number of swine before HACCP system was found to be 288.30, 122.90, 91.08, 18.22, and 108.10 in respiratory, diarrhea, abortion (stillbirth), an accidental death and others, respectively. However, after HACCP implementation, it decreased, without significantly, to 261.60, 101.10, 85.91, 16.37, and 108.60, respectively. Therefore, Therefore, the total number of mortality pig decreased from 628.70 (before HACCP) to 573.60 (after HACCP). The enhancement of farm competitiveness (26.92%) and hygienic and safety pig production (23.43%) were ranked as the first and second proposes for implementing HACCP system on swine farm. The major advantage of implementing HACCP were improvement the farm sanitation management level (20.90%) and the major disadvantage was surveyed as HACCP records (23.10%). We are expecting that our results might be used for producing safer livestock products by improving livestock products HACCP policy.

• Journal of Veterinary Clinics
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• v.18 no.2
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• pp.185-188
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• 2001

A weakened wild feral pig (a boar of about 15 kg) with snout distortion and characteristic external lesion of infectious atrophic rhinitis was captured at farm land near low mountains in Chinju, Kyeongnam province. This pig was necropsied and then the snout parts and the parenchymal organs were removed. The snout and nose were transversely sectioned at thickness of 1.5 cm interval. Grossly, the right side of the snout was shorted than that of left by reduction of right nasal turbinate length, but the nasal opening exudate was not observed. At necropsy, degeneration, adhesion, occlusion, and asymmetry of left and right sides on the meatus and turbinate were observed and findings of mild pneumonia were observed. Microscopically, the leukocyte infiltration, hyperemia and hyperplasia on the mucosa of the turbinates and septum were observed. The atrophied periosteum and osseous tissue were also observed. But Bordetella bronchiseptica was not identified in culture from nasal swabs. We expect the possibility that the snout distortion of this pig was due to infectious atrophic rhinitis according to these findings.

• Journal of Veterinary Science
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• v.19 no.6
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• pp.855-857
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• 2018

Porcine parvovirus 7 (PPV7) was first detected in Korean pig farms in 2017. The detection rate of PPV7 DNA was 24.0% (30/125) in aborted pig fetuses and 74.9% (262/350) in finishing pigs, suggesting that PPV7 has circulated among Korean domestic pig farms. Phylogenetic analysis based on capsid protein amino acid sequences demonstrated that the nine isolated Korean strains (PPV-KA1-3 and PPV-KF1-6) were closely related to the previously reported USA and Chinese PPV7 strains. In addition, the Korean strains exhibit genetic diversity with both insertion and deletion mutations. This study contributes to the understanding of the molecular epidemiology of PPV7 in Korea.

• Journal of Korea Multimedia Society
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• v.22 no.2
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• pp.136-145
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• 2019

The crowded environment of a domestic pig farm is highly vulnerable to the spread of infectious diseases such as foot-and-mouth disease, and studies have been conducted to automatically analyze behavior of pigs in a crowded pig farm through a video surveillance system using a camera. Although it is required to correctly separate occluding pigs for tracking each individual pigs, extracting the boundaries of the occluding pigs fast and accurately is a challenging issue due to the complicated occlusion patterns such as X shape and T shape. In this study, we propose a fast and accurate method to separate occluding pigs not only by exploiting the characteristics (i.e., one of the fast deep learning-based object detectors) of You Only Look Once, YOLO, but also by overcoming the limitation (i.e., the bounding box-based object detector) of YOLO with the test-time data augmentation of rotation. Experimental results with two-pigs occlusion patterns show that the proposed method can provide better accuracy and processing speed than one of the state-of-the-art widely used deep learning-based segmentation techniques such as Mask R-CNN (i.e., the performance improvement over Mask R-CNN was about 11 times, in terms of the accuracy/processing speed performance metrics).

• Journal of Microbiology and Biotechnology
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• v.3 no.1
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• pp.19-23
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• 1993

Spirulina platensis NIES 39 was grown in effluents from a wastewater treatment plant utilizing activated sludge process at a pig farm to reduce pollutants and to produce feed resources. The addition of 2 g/l NaCl was required for the growth of S. platensis in the effluents with about 100 mg/l ammonia nitrogen concentration. The growth was stimulated by the addition of 2 g/l sodium bicarbonate and 4 mg/l ferrous sulfate. The microorganism grew well at pH 8~11, and the optimum pH for the growth was 10. The algal concentration of 1.1 g/l was attained after 8 days of growth at the optimum condition with the removal of 95% ammonia nitrogen and 34% phosphorus.

• Journal of Animal Environmental Science
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• v.5 no.3
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• pp.175-180
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• 1999

This study was carried out to improve septic tank for piggery wastewater treatment of small pig farm. Septic tank were consisted of screen tank, aeration tank with two steps, settling tank, and filtering tank. Aeration tanks were filled with ALC of ø4~5cm. All operation steps were performed by timer from influent to effluent. Septic tank decreased BOD by 94.7% from 4,298.3mg/$\ell$ to 226.3mg/$\ell$ and also decreased SS by 92.4%, from 2,231.3mg/$\ell$ to 161.0mg/$\ell$, respectively.