• Journal of the Korean Society for Industrial and Applied Mathematics
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• v.11 no.1
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• pp.95-105
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• 2007

A mathematical modeling for the drying process of hygroscopic porous media, such as wood, has been developed in the past decades. The governing equations for wood drying consist of three conservation equations with respect to the three state variables, moisture content, temperature and air density. They are involving simultaneous, highly coupled heat and mass transfer phenomena. In recent, the equations were extended to account for material heterogeneity through the density of the wood and via the density variation of the material process, capillary pressure, absolute permeability, bound water diffusivity and effective thermal conductivity. In this paper, we investigate the drying behavior for the three primary variables of the drying process in terms of control volume finite element method to the heterogeneous transport model on one-dimensional grid.

• Korean Journal of Veterinary Research
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• v.47 no.2
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• pp.259-263
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• 2007

The choice of input distribution in quantitative risk assessments modeling is of great importance to get unbiased overall estimates, although it is difficult to characterize them in situations where data available are too sparse or small. The present study is particularly concerned with accommodation of uncertainties commonly encountered in the practice of modeling. The authors applied parametric and non-parametric bootstrap simulation methods which consist of re-sampling with replacement, in together with the classical Student-t statistics based on the normal distribution. The implications of these methods were demonstrated through an empirical analysis of trade volume from the amount of chicken and pork meat imported to Korea during the period of 1998-2005. The results of bootstrap method were comparable to the classical techniques, indicating that bootstrap can be an alternative approach in a specific context of trade volume. We also illustrated on what extent the bias corrected and accelerated non-parametric bootstrap method produces different estimate of interest, as compared by non-parametric bootstrap method.

• Korean Journal of Organic Agriculture
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• v.20 no.3
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• pp.283-296
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• 2012

This research was conducted to analysis the Elementary School Teachers' needs necessary for developing the eco-friendly school farm program. To perform these research problems, 167 people from five Elementary School group (A, B, C, D and E). Of respondents of the survey, 160 questionnaires were significant. The frequency analysis was used with SPSS 17.0 statistics program. Teacher of the needs analysis results are as follows: Teachers want to help school farm program by gardening expert, experienced volunteer. Costs of instructor and material must be supported by the government, local government. Teachers are demanding an integrated program for horticulture. The teachers would have preferred an easy plant to grow and appear in textbooks. Therefore teachers' needs to be a convert-gence in the eco-friendly school farm program manual.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.991-993
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• 2003

The 4 sets of environmental variables dealing with meteorology, hydrology and physiography were analyzed to generate a spatial drought risk index of Phitsanulok province of Thailand. The analysis of K-mean and discriminant were applied to the set of the selective drought variables for grouping each of spatial variable set into 4 classes. The obtained 4 classes, based on group statistics, were thus recoded in the meaning of no risk, low risk, moderate risk, and high risk. The regression coefficient between recoded classes and a set of the selective environmental variables were then applied as spatial variable weighting on thematic dataset in GIS spatial analysis. The results showed that the weighting score of drought variable was highest in meteorological variable compared to other variables.

• Agribusiness and Information Management
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• v.12 no.1
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• pp.18-35
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• 2020

Due to the rise of Information & Communication Technology (ICT) adoption in many fields, it is necessary to diagnose the informatization situations of corporations in agriculture and give suggestions for improvement. For this goal, surveys were designed and conducted to understand the current informatization situations of agriculture corporations in Korea. The survey covers the plan for utilizing information technology, the establishment of infrastructure for information technology, IT application status, and its effect on their performance. The specific focus of our research is to segment the corporations by their type of industries and their level of sales and give differentiated managerial implications for each segment. This is because the type of informatization and information technology assistance they need highly depends on their industry type and sales level. Based on descriptive statistics and regression analyses, tailored managerial and polic.

• Journal of Agricultural Extension & Community Development
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• v.28 no.4
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• pp.191-202
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• 2021

This study aims to examine agricultural college students' perception of readiness and barriers towards implementation of ICT program. Data were gathered from 175 student of agricultural college in Korea. Descriptive statistics, exploratory and confirmatory factor analysis, t-test, and one-way ANOVA were applied to analyze the data. Results reveal that technology usefulness perception scores were high among the readiness components, but students readiness and school infrastructure readiness were low. Results also shows that policy and technology factors were also seen as the main barriers of ICT program implementation. Findings show that demographic variables did not significantly affect readiness and obstacles. The results of this study can provide guidance to the government or agricultural college organizations when considering readiness and barriers towards implementing ICT programs. In addition, this study contributes to improve the theory of adoption behavior and contributes to the foundation for future research aimed at improving our understanding of agricultural college students' behavior.

• Journal of Korean Society of Rural Planning
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• v.11 no.4 s.29
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• pp.75-91
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• 2005

This study designs an integrated data architecture to systematically manage the agricultural statistics database. Managing the agricultural statistics is important since it provides data for policies and decision making for agribusinesses. Ministry of Agriculture and the National Statistical Office collect the basic agricultural statistic data which provides the basis of logical decision making and agricultural policies. However, the agricultural statistic data has not well been used. The data has not been consistently collected nor managed. The raw data has not been organized nor processed to meet various demands. The needs has been arisen for a consistent agricultural statistics system to increase the relevance, accessibility, and efficiency of data for various users. There are massive amount of data accumulated over a long time period. Introducing the new system and reorganizing the data will bear large risks. A systematic method is required to reduce the risks in planing, building, and maintaining the database without hindering administration. This study provides a design of the agricultural statistics system architecture based on the user requirement analysis (URA) and similar systems abroad. We have also build a prototype to check the implementability of the system design.

• Journal of Forest and Environmental Science
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• v.36 no.4
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• pp.311-317
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• 2020

Mushroom has economic, food and medicinal value to a large proportion of human populace. This study assessed the consumption pattern of mushroom species in Southwestern Nigeria. Non-probability sampling method was used to select 20 Local Government Areas (LGAs) from 3 states and four communities were selected purposively from each LGAs. Snow-ball sampling approach was used in selecting 5 respondents from each community, making a total of 400 respondents. Descriptive statistics was used to describe the socio-economic characteristics of the respondents, to compare the differences between the local (wild) and Exotic (cultivated) mushroom Species and to determine the rate at which mushroom substitute is consumed among the mushroom consumers. Logit regression was used to identify the factors influencing mushroom consumption in the study area. Thirty percent of the respondents were aged 41 to 50 years, with mean age of 49.76 years. About 82% had tertiary education, 17.3% earned above N200,000 monthly and 8.8% spent above N6000 monthly on mushroom. Logit regression showed that age (-3.21), household size (-2.17) and medicinal benefits (-2.17) had significant (p<0.01) negative effects on mushroom consumption. Conclusively, mushroom has wide acceptance among the general populace, good for food and medicine; hence, awareness should be created through agricultural policy on the need for mushroom cultivation and consumption in Nigeria.

• Journal of Veterinary Science
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• v.25 no.3
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• pp.41.1-41.12
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• 2024

Importance: Equines are indispensable in reducing the huge burden on children and women and income generation. On the other hand, minimal attention is given to improving their health and welfare. Objective: This study examined the prevalence and associated risk factors of helminth parasites of equine in the Gamo Gofa Zone. Methods: A cross-sectional study was employed from June 2019 to March 2020. The study districts and Kebeles were selected purposively based on agroecology whereas selection of study households and animals were performed based on simple random sampling techniques. Identification of nematode, trematode parasite ova and larvae of D. arnfieldi were done by floatation, sedimentation, and Baermann techniques respectively. Descriptive statistics and logistic regression was applied to estimate the prevalence and association of risk factors with helminth parasites. Results: The overall helminth parasite prevalence in the study area was 90.4%, 425/470 (95% [CI], 87.16-92.9). The prevalence of Strongyle, Fasciola, O. equi, P. equorum, D. arnfieldi, and mixed parasite infections were 65.1%, 21.7%, 17.4%, 34%, 34%, and 58.1%, respectively. Infections from Fasciola species and D. arnfieldi infection were four ([AOR], 4.4; 95% CI, 2-9.4) and two times (AOR, 2; 95% CI, 1.1-3.6) respectively more likely occur in donkeys than in mules. The occurrence of Strongyle species in midland agroecology was two times (AOR, 2.6; 95% CI, 1.4-4.7) more likely than lowland agroecology. Conclusions and Relevance: The present study identified diverse species of equine helminth parasites that necessitate urgent disease control and prevention measures.

• The Korean Journal of Applied Statistics
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• v.11 no.1
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• pp.29-39
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• 1998

The Farm Household Economy Survey (FHES) is carried out by the Ministry of Agriculture and Forestry every year. In this paper, we reveiwed the current status of the FHES and assessed the precision of the survey results. Finally we proposed some recommendations for improving the precision and presented the improvable directions of FHES with some feasible solutions.