Determinants of the Marketed-Pig Per Sow Per Year for Decision-Making of Piggery Entrepreneur in South Korea.

Kim., TaeWan

doi:10.21474/ijar01/1927

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…In addition, as livestock market was intensified in competition among countries such as imported pork exchanging domestic pork due to trade liberalization, the export and import volumes of pork were selected to determinant factor for production of domestic pork. Although factors to affect CDP are determined by mutually direct or indirect effect, survey of total contents is not only difficult in terms of time and cost, but becomes difficult of model estimation to occur multicollinearity problems among independent variables (Kim 2016b). Therefore, it is necessary to be appropriate selection of independent variable to have high explanatory power for CDP.…”

Section: Materials and Methods:-mentioning

confidence: 99%

Estimates of Multi-Collinearity for Supply Function of Pork by Time-Series Data in South Korea.

Kim.¹

2017

IJAR

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Section: Materials and Methods:-mentioning

confidence: 99%

Estimates of Multi-Collinearity for Supply Function of Pork by Time-Series Data in South Korea.

Kim.¹

2017

IJAR

Self Cite

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“…Although factors to affect CDP are determined by mutually direct or indirect effect, survey of total contents is not only difficult in terms of time and cost, but becomes difficult of model estimation to occur multicollinearity problems among independent variables (Kim, 2016b). Therefore, it is necessary to be appropriate selection of independent variable to have high explanatory power for CDP.…”

Section: Data Analysis:-mentioning

confidence: 99%

Determinants of Pork Demand Function by Variance Inflation and Stepwise Method in South Korea.

Kim¹,

Noh²,

Kim³

et al. 2018

IJAR

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Design and Experiment of a PLC-Based Intelligent Thermal Insulation Box for Nursing Piglets

Sun,

Wang,

Pan

et al. 2024

Animals

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Local heating of the activity area for nursing piglets is crucial for piglet health and the energy efficiency of barn climate control. Traditional heating methods using lamps or covers lack precise control, result in significant energy waste, and cannot be dynamically adjusted according to piglet age or changing environmental temperatures. To address these issues, this study designed a Programmable Logic Controller (PLC)-based thermal insulation box for nursing piglets, utilizing a strip heater instead of the conventional round heating lamp. The design incorporates a movable thermal insulation box that dynamically adjusts the heater’s power based on the real-time monitoring of environmental temperatures and target temperatures specific to piglet age. First, in a controlled laboratory environment, the study tested and compared the spatial temperature uniformity, temporal stability, and power consumption of the new thermal insulation box versus traditional heating methods. Subsequently, animal trials were conducted in a farrowing barn using eight sows with similar farrowing dates as test subjects. The new thermal insulation box was installed in one group, and the traditional heating lamp in the control group. During the trial, ambient temperature, insulation area temperature, piglet behavior, growth performance, and power consumption were recorded. The results showed that compared to the control group, the new system reduced average temperature fluctuations in the insulation area by 31.6% and spatial temperature variation by 78.3%. During animal trials, the average temperatures directly under the heater for the new system versus the control in the insulation area were 39.7 ± 0.2 °C and 30.2 ± 1.4 °C in the first week, 40.9 ± 0.5 °C and 31.6 ± 0.7 °C in the second week, and 32.3 ± 1.5 °C and 28.6 ± 1.7 °C in the third week—significantly (p < 0.05) higher in the test group. The new system also reduced total energy consumption by 58.3%. The usage rate of the thermal insulation area by piglets in the test and control groups was 47.5 ± 5.3% and 42.1 ± 6.6%. The daily weight gain of piglets in the test group was 9.8% higher than that of the control group, also significantly (p < 0.05) higher. This intelligent thermal insulation box enables precise and dynamic temperature control, reducing heating energy consumption and supporting improved piglet health and welfare.

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Determinants of the Marketed-Pig Per Sow Per Year for Decision-Making of Piggery Entrepreneur in South Korea.

Cited by 3 publications

References 7 publications

Estimates of Multi-Collinearity for Supply Function of Pork by Time-Series Data in South Korea.

Estimates of Multi-Collinearity for Supply Function of Pork by Time-Series Data in South Korea.

Determinants of Pork Demand Function by Variance Inflation and Stepwise Method in South Korea.

Design and Experiment of a PLC-Based Intelligent Thermal Insulation Box for Nursing Piglets

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