• Korean Journal of Organic Agriculture
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• v.9 no.3
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• pp.1-22
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• 2001

This article described the production problems, import conditions of organic livestock products and background of CODEX-guideline, and presented the counterplan for future organic livestock production policy. The essential counterplan for CODEX-guideline and construction of organic livestock production basis include ; - Specific funding of research and development for excellent livestock breeding with consideration of regional enviroment-friendly applications to improve the quality of organic livestock products, - Development of production potential and resources utilization of organic feeding stuffs in domestic and foreign countries, - Horizontal and vertical organization of organic livestock farming and multifarm cooperation, - Specialization of organic livestock farming, and construction for direct or indirect linkage markets and Agro-food corporation for closer cooperation between inner and outer factor of farm management, - Construction of recycling system for the enviroment-friendly utilization of animal excrements.

• Korean Journal of Organic Agriculture
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• v.10 no.2
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• pp.1-28
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• 2002

Regarding the dangers to soil, water and air, which come from current agricultural application measures for nitrogen, a sectoral approach for a non-polluting liquid manure utilization cannot be used any longer. Slurry was not any longer considered as a tiresome waste produced of animal husbandry, but as a valuable fertilizer. The goal of the largest possible utilization of slurry on the farm was and still is in the foreground, An Integrated system approach has to be found. leading to a drastic improvement of nutrient utilization and hence to a considerably reduced nutrient use. This can only be expected, if the organic manure can be applicated at times, when losses through leaching and volatilization can be minimized. The necessary investments for such concepts can clearly be reduced through cooperation.

• Journal of Animal Environmental Science
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• v.1 no.1
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• pp.1-8
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• 1995

Litters such as sawdust and rice hulls are used to manage the waste excrements of Hanwoo(Korean Native Cattle). This experiment was conducted to investigate the adequate depth of bedding materials, and the effective substitutive rate of rice hulls and the recycled-dried sawdust mixed with cattle waste for sawdust from 1993 to 1994. The results were as follows; 1. The most adequate bedding depth of sawdust was 4cm and it was able to be utilized for 38 days. The cost of required sawdust was lower in order of 5, 15, 20 and 10cm in depth of bedding sawdust. 2. Rice hulls was able to be fully substituted for sawdust, but 50% substitution the most effective. 3. Recycled-dried sawdust mixed with cattle waste could be substituted less than 25% for sawdust.

• Korean Journal of Agricultural Science
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• v.2 no.1
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• pp.233-240
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• 1975

This excrement was conducted to investigate the nuisance of swine excrement. And excrements were collected from 27 heads of swine Euseong swine breeding center and Hongdo-dong swine farm and amounts of faces and urine, nitrogen, phosphorus, and kalium contents and number of parasite were investigated, and for the purpose to clean of excrementing matter, ferment substance and moist soil added to swine excreting matter and floating matter. Heat decresement amount and biological oxygen demand were investigated. And the result obtained were as follows. 1) Average amount of daily excreting faces per swine was 500-2700g from Euseong swine breeding center and 450-2500g from Hongdo-dong swine farm and a mount of excreting urine was 450-4500g from both of farms. The rate of excrements between faeces and urine was 1:1 2) Nitrogen contents were 0.802 ppm in urine and 0.514 ppm in faces, phosphorus were 2.261 % in urine and 0.073% in faeces and kalium contents were 1.094% in and 6.0467% in faeces. 3) Strongyloides ransomi and intestinal modular worm eggs showed the highest of eggs number was the result of observation in parasites, and ascaris showed the next it, whip worm and lung worm showed the lowest. 4) The effect ferment substance additive, amount of dry matter, floating matter, heat decreasement amount and biological oxygen demand was decreased but not significant was appeared. And the effect of moist soil additive, it was more effective that fermented substance additive for the fermentation of swine excrement.

• Journal of environmental and Sanitary engineering
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• v.22 no.3
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• pp.35-50
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• 2007

In order to investigate water pollution of spring, we carried out the experiments on mineral water, rainwater and surrounding soil of several springs collected in Incheon area from February to August in 2007. The results were as follows. 1. Soil : This study investigated the pH and organic matter contents in the soil which effect on microorganisms. The pH value was from 4.5 to 5.3 on average and organic matter contents ranged from 1.09% to 5.6% and E. coli, K. pneumoniae, S. faecalis and other microorganisms were isolated. 2. Natural mineral water : As the rainfall increased, the concentration of $No_3-N$, consumption of $KMnO_4$ and the number of microorganisms was increased while the other physicochemical items were not affected. The microorganism isolated in the natural mineral water were as follows: E. coli, K. oxytoca S. faecalis, S. facium, and so on from evacuation; E. agglomerans, E. amnigenus, E. cloacae, E. sakazakii and so on from the environments and evacuation. Detection of these microorganisms shows that the environment around the spring had been exposed to excrements of the warm blood animal. 3. Rain : The coliforms in the rain were the identical one detected from the mineral water and the soil. In conclusion the quality of natural mineral water is influenced by rain, resident bacteria of soil and surrounding environment. This study will be the basic data of characteristics of spring in Incheon area and also this result will give useful aids for the efficient control of spring.

• Journal of The Korean Society of Agricultural Engineers
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• v.63 no.6
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• pp.77-88
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• 2021

Duck industry had a rapid growth in recent years. Nevertheless, researches to improve duck house environment are still not sufficient enough. Moisture generation of duck house litter is an important factor because it may cause severe illness and low productivity. However, the measuring process is difficult because it could be disturbed with animal excrements and other factors. Therefore, it has to be calculated according to the environmental data around the duck house litter. To cut through all these procedures, we built several machine learning regression model forecasting moisture generation of litter by measured environment data (air temperature, relative humidity, wind velocity and water contents). 5 models (Multi Linear Regression, k-Nearest Neighbors, Support Vector Regression, Random Forest and Deep Neural Network). have been selected for regression. By using R-Square, RMSE and MAE as evaluation metrics, the best accurate model was estimated according to the variables for each machine learning model. In addition, to address the small amount of data acquired through lab experiments, bootstrapping method, a technique utilized in statistics, was used. As a result, the most accurate model selected was Random Forest, with parameters of n-estimator 200 by bootstrapping the original data nine times.