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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
> Journal Vol & Issue
Journal of Animal Environmental Science
Journal Basic Information
Journal DOI :
Korean Association for Livestock Housing and Environment
Editor in Chief :
Volume & Issues
Volume 7, Issue 3 - Dec 2001
Volume 7, Issue 2 - Aug 2001
Volume 7, Issue 1 - Apr 2001
Selecting the target year
The Effects of Confined Rates Side Wall of Pen for Evacuation Behaviors of Pigs
Journal of Animal Environmental Science, volume 7, issue 3, 2001, Pages 147~154
An experiment was conducted to examine environmental influences upon the behavioral pattern of pigs. The resting areas of an enclosed growing-finishing pig house were checked in two seasonal ventilation systems, and the excretion habit of pigs influenced by the different closing rates (50, 75 and 100%) of side walls of pens was surveyed. 1. The excretion habit of pigs was not influenced by temperature, humidity and the flow speed of running air as they excreted in a fixed area of the side walls. However, the lighting effects on the excretion habit was observed because pigs excreted in the darkest area of the pig pen. 2. The accumulated height and width of feces showed 10 and 30 cm; 5 and 25cm; and 3 and 20cm for 50, 75 and 100% of closing rates of side walls, respectively. It indicates that pigs excrete all over the floor in the pen with 100% closed side walls. 3. Ammonia concentrations of the resting areas on the pen floor were determined to 4.2, 5.1 and 5.8 mg/ℓfor 50, 75 and 100% of closing rates of side walls, respectively. It indicates that the ammonia concentration was highest in the pen with 100% closed side walls. Thus, the high ammonia concentration of the resting areas could be reduced by illuminating the darker areas with relation to the excretion habit. 4. The flow speed of running air was likely the biggest factor influencing the resting areas of pigs; pigs took a rest at the place of 0.04 m/s air flow speed point during midwinter, and at the place of 0.24 m/s air flow speed point during midsummer.
Measuring the Environment of Pig Houses
Journal of Animal Environmental Science, volume 7, issue 3, 2001, Pages 155~164
Environmental factors such as
, dust, temperature, and humidity in the animal house are a potential health hazard to humans and animals. Until now, most of measurement methods can only provide periodic results with low accuracy. A data acquisition system which can measure continuously and simultaneously
, temperature, and humidity was developed and installed in two pig houses. Daily changes of environment for the pig-houses were investigated by the data acquisition system. In order to evaluate NH
sensor, gas samples were obtained and NH
concentrations were measured at nine positions; combinations of three positions(inlet, middle, and outlet) and three heights(0 cm, 40 cm, 150 cm). Ammonia concentration of 14.0 ~37.1 ppm for slurry pig-house is higher than that of 8.4~29.7 ppm for scraper pig-house, and there were no statistical differences among the positions. However, the concentration of
at 150 cm was higher than thats of 0 cm and 40 cm.
Characteristics and Quantity of Waste Produced by Crowing and Finishing Pig
Journal of Animal Environmental Science, volume 7, issue 3, 2001, Pages 165~168
This study was conducted to determine the volume and characteristics of growing and finishing pig manure. The results obtained in this study was summarized as follows; The average manure production per 60kg of betray weight fur pig was 4.57kg/head/day(faces 1.83, urine 2.74kg). The average moisture content of feces and urine was 74.1%, 98.4%, respectively. Water pollutant concentration,
, COD, SS, T-N and T-p, excreted from pig was 74,224mg/l, 63,046mg/l, 261,089mg/l in feces and 6,054mg/l, 5,295mg/l, 435mg/l in urine, respectively. The composition of manure produced by pig, N,
. was 0.89, 0.46, 0.25% in feces and 0.83, 0.05, 0.23% in urine, respectively.
Quantity and Characteristics of Manure by Holstein Milking Cow
Journal of Animal Environmental Science, volume 7, issue 3, 2001, Pages 169~172
This research was carried out to investigate the quantity of Holstein milking cow manure excreted and their characteristics. The average body weight of the Holstein milking cow during experiment was 550.0kg, and fried intake(DM basis), water consumption, milk yield was 16.7, 85.4, 24.4k7/day/head, repectively. The average manure production of Holstein milking cow was 63.5kg/day/head(feces 42.3, urine 10.2kg). The average moisture content of feces and urine was 83.9%, 96.9%, respectively. Wastewater pollutant concentration of
(Biochemical Oxygen demand).
(Chemical Oxygen demand), SS(Suspended Solids), T-N(Total Nitrogen) and T-P(Total Phosphorus), excreted from Holstein milking cow was 16,560, 40,329, 78,500, 2,854, 577mg/ l in feces and 4,580, 7,575, 370, 4,164, 7mg/ l in urine, repectively.
Characteristics and Quantity of Wastewater Produced by Swine Farms
Journal of Animal Environmental Science, volume 7, issue 3, 2001, Pages 173~176
This study was conducted to determine the volume of pig wastewater and It's characteristics from 6 pig farms. The results obtained in this study was summarized as fellow; The volume of pig waste water was 4.15 l/head/day and 4.04 l in spring, 5.20 l in summer, 4.11 l in fall, and 3.44
in winter. The average moisture content of faces and urine was 74.1%, 98.4%, respectively. Water pollutant concentration,
, SS, T-N and T-P, excreted from pig was 56,847mg/l, 50,658mg/l, 119,750mg/l, 2,683mg/l, 139mg/l in feces and 2.951mg/l 2,002mg/l, 1,983mg/l, 2,921mg/l, 35mg/l wastewater of swine farms, respectively.
An Image Processing System to Estimate Pollutant Concentration of Animal Wastes
Journal of Animal Environmental Science, volume 7, issue 3, 2001, Pages 177~182
This study was conducted to find out the coefficient relationships between intensity values image processing and pollution density of slurries. Slurry images were obtained from the image processing system using personnel computer and CCD-camera. Software, written in Visual
, combined the functions of the image capture, image processing and image analysis. The data of image processing for slurries were analyzed by the method of regression analysis. The results are as follows. 1. Red(R)-values among image processing data were obtained the highest correlation coefficient 0.9213 for detecting COD. Also, green(G)-value were obtained the highest correlation coefficient 0.9019 fur detecting BOD. Blue(B)-value could not find significant values to detect the pollution resources density. 2. Hue(H)-values among image processing data were obtained the highest correlation coefficient 0.9466 for detecting BOD. This fact could be used in detecting BOD 3. Green(G)-value, GRAY-value, Hue(H)-value, Saturation(5)-value and Intensity(I)-value were the correlation coefficient more than 0.8 for BOD. Hue(H)-value was higher correlation coefficient than any other value. It was possible to detect pollution density of slurries by using the image processing system. 4. Red(R)-value, GRAY-value and Saturation(5)-value were obtained the correlation coefficient more than 0.8 for detecting COD. a-value had the highest correlation coefficient Among these values. It was possible to detect density indirectly by using the image processing system. 5. SS-density were obtained the correlation coefficient less than 0.8 by using the image processing system. The density of
-N were obtained correlation coefficient less than 0.2.
An Image Processing System for Measuring the Weight of A Dairy Cattle
Journal of Animal Environmental Science, volume 7, issue 3, 2001, Pages 183~190
The objective of this research was to design and construct an image processing system to measure easily and accurately cow's weight. The image processing system was built for a dairy cattle to be measured and estimated it's weight using camera and personal computer. The pixel numbers, which was derived from the image processing system, were counted to estimate the weight of a dairy cattle. They were utilized various was for finding the relationships between pixel numbers and it's real weight. Based on the results of this research the following conclusions were made: 1. It's weight could be estimated by using pixel numbers, which was captured from top and side cameras to measure it. The correlations with tea-view pixel numbers, side-view pixel numbers, superficial area pixel numbers and the volume pixel numbers were 0.909, 0.939, 0.944 and 0.965. 2. 50 cattle was used to execute an experiment with the image processing system, but average errors were big to make out the good relationship between cow's weight and pixel numbers. In order measure accurately a cattle weight, cattle weight, cattle groups would be divided by the age of cattle and further study should be carried out to be based on the results of this research. 3. The average time it took to perform the image processing to be measure it was 10 seconds, but it took 10 minutes for cattle to enter for measuring it's weight into the weighting system.
Effect of Ozone Treatment on Livestock Drinking Water Quality
Journal of Animal Environmental Science, volume 7, issue 3, 2001, Pages 191~195
This research was carried out to investigate the effect of ozone treatment to improve the livestock drinking water quality. Ozone concentration treated was 18.5~36.5ppm in each system. PH and dissolved oxygen(DO) concentration in drinking water was increased by ozone and ozone+anion treatment. But there was no difference in UV used for drinking water treatment. Oxidation and deduction Potential(ORP) was increased while ozone was treated. Colony Forming Unit(CFU) of E. coli 0.8:
, Salmonella typhimurium, Staphylococcus aureus was decreased after 30 minute to 1 hour ozone and UV treatment.