• Journal of agricultural medicine and community health
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• v.18 no.2
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• pp.121-129
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• 1993

This study was conducted to investigate the incidence and related factors of farming tool-machinery injuries developed in the Chonnam rural area in 1992. A total of 9,068 persons (4,571men and 4,497women)were selected in a stratified cluster sampling manner, and interviewed individually to complete a structured questionnaire covering farmer characteristics, duration of farm working, annual income, kind of farming tools and machinery, type of injuries and medical care. The results were as follows : 1. The incidence rate of farming tool-machinery injuries was 63 per 1,000 persons over all, 73 in males and 54 in females. The age standardized incidence rate was 69 per 1,000 persons over all, 83 in males and 65 in females. 2. The associated factors with farming tool-machinery injuries in univariate analysis were sex, age, duration of farming and monthly income. The occurrence of injuries was higher in men than in woman, and the higher in high-income group than in the low-income group. 3. More men than woman were involved in trunk injuries and treated at the large scale medical care units such as hospitals, and they paid much higher medical fees. 4. The complaint rates for each item of farmers' syndrome in the injured group were higher than those of the non injured group in 'shoulder stiffness', 'sleeplessness', 'dizziness', and 'gastric fullness'. 5. When multiple logistic regression was applied to farming tool-machinery injuries, the significant variables were farmer's syndrome, age, and duration of farming in both males and females.

• Journal of the Ergonomics Society of Korea
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• v.29 no.6
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• pp.933-942
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• 2010

Objective: To develop an ergonomic evaluation tool which can be apply to assess the lower-limb postures associated with farming tasks. Background: In general, most of existing ergonomic assessment tools was developed to investigate the work-related musculoskeletal disorders of the upper-limb postures in manufacturing industry. Methods: As the first step of development of the evaluation tool, 13 lower-limb postures that were commonly observed in farming task were investigated by the subjective discomfort ratings, heart rates, and muscle activities. And then, an ergonomic evaluation tool for the lower-limb postures was developed based on results of the first experiment. Lastly, the ergonomic checklist which was developed in the current study was compared with other existing ergonomic assessment tools. Results: Based on the results of comparisons between a newly developed assessment tool and other existing assessment tools, it was found that a newly developed tool can perceive more sensitively for the various lower-limb postures than other assessment tools. Conclusions: Lower-limb posture assessment tool which can evaluate and assess risks of lower-limb WMSDs which were prevalent in farming tasks more easily and accurately was developed in this study. The lower-limb assessment tool can also be utilized to prevent WMSDs related with lower-limbs as well as improve working environments.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.2
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• pp.321-324
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• 2022

The Korean halibut farming industry suffer from price instability and demand decrease due to various environmental and social issues. It is urgent to predict the appropriate amount of halibut production. However, it is not easy for employments working in the halibut farming industry to handle statistical tools in order to perform the prediction. In this paper, we implemented a Excel-based regression analysis tool that allows users to get a regression analysis result by just entering historical data in a sheet. Our tool will reduce workloads of employments working in the halibut farming industry by enabling them to perform a regression analysis with Excel on-the-fly. This study expect that by using the tool the halibut farming industry cope actively with the real-time change in the industry.

• Proceedings of KOSOMES biannual meeting
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• 2018.06a
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• pp.200-200
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• 2018

• Proceedings of KOSOMES biannual meeting
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• 2017.11a
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• pp.275-275
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• 2017

• Smart Media Journal
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• v.12 no.10
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• pp.38-46
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• 2023

Farming activities are transforming from traditional skill-based agriculture into knowledge-based and technology-driven digital agriculture. The use of intelligent information and communication technology introduces the idea of smart farming that enables farmers to collect weather data, monitor crop growth remotely and detect crop diseases easily. The introduction of Plantix, a pest and disease management tool in the form of a mobile application has allowed farmers to identify pests and diseases of the crop using their mobile devices. Hence, this study collected the reviews of Plantix to explore the response of the users on the Google Play Store towards the application through Latent Dirichlet Allocation (LDA) topic modeling. Results indicate four latent topics in the reviews: two positive evaluations (compliments, appreciation) and two suggestions (plant options, recommendations). We found the users suggested the application to additional plant options and additional features that might help the farmers with their difficulties. In addition, the application is expected to benefit the farmer more by having an early alert of diseases to farmers and providing various substitutes and a list of components for the remedial measures.

• Journal of the Ergonomics Society of Korea
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• v.30 no.4
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• pp.481-489
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• 2011

Objective: The aim of this study was to develop an ergonomic checklist (AULA: Agricultural Upper-Limb Assessment) which can assess the risks of the work-related upper limb disorders of farming tasks in Korea. Background: There are few assessment tools that reflect the current condition of agricultural works as of now. Method: AULA was developed as following three stages. First of all, a physiological experiment was conducted with selected 14 upper limb postures which are frequently occurred in farming tasks and then, an ergonomic checklist was developed with determining risk levels of each body posture based on the experimental findings. Lastly, the ergonomic checklist was validated by comparing with the existing assessment tools. Results: When comparing the AULA which was developed in this study with the existing assessment tools, it was found that the AULA may get over limits of the existing ones which are sensitive to particular postures, but aren't sensitive to the rest of them. Conclusion: It is predicted that the developed upper limb posture assessment tool which gets over the existing tools' limits and is proper for domestic farm work conditions, will help to reduce musculoskeletal disorders caused by farm works, by assessing farm works more easily and objectively. Application: By further developing the theoretical groundwork on the induction of muscular skeletal system symptoms relating to agricultural works, it is expected to improve the level of preventing and managing such muscular skeletal system symptoms in the field of agricultural and farming works, which is relatively less advanced in terms of labor difficulties.

• Journal of The Korean Society of Agricultural Engineers
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• v.54 no.1
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• pp.55-62
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• 2012

This study is to assess the reduction of nonpoint source pollution by applying Best Management Practice (BMP) in Chungju-dam watershed (6,585.1 $km^2$) using Soil and Water Assessment Tool (SWAT). The model was calibrated using 3 years (1998-2000) daily streamflow at 3 locations and monthly water quality of sediment (SS), total nitrogen (T-N) and total phosphorus (T-P) data at 2 locations and validated for another 3 years (2001-2003) data. The 5 BMPs of streambank stabilization, porous gully plugs, recharge structures, terrace, and contour farming were applied to stream and area with the specific criteria of previous researches. Through the parameter sensitivity analysis, the farming practice P-factor and Manning's roughness of stream were sensitive. Overall, the NPS reduction effect was high for streambank stabilization, terrace, and contour farming. At the watershed outlet, the SS, T-P, and T-N were reduced by 64.4 %, 62.8 % and 17.6 % respectively.

• Korean Journal of Organic Agriculture
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• v.19 no.spc
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• pp.78-81
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• 2011

This study compares and contrasts the Wales and England Organic Action Plans (WOAP and EOAP) and a Korean regional Life-Food Development Plan (KLFDP) in order to facilitate the development of the organic sector in Korea. Early action plans, for example, the first WOAP (1999) focused support on developing the supply of organic products whereas later action plans focused on marketing and consumer. OAPs may not only provide specific issue-solving roles by proposing new policy measures but also perform a regulatory role as a controller for organic sector development as a whole. The current KLFDP seems to stick to the former role but hardly has the latter role such as setting priorities, harmonizing various conflicting policy measures and factors and performing evaluation process for further progress. To secure better harmonized and sustainable development of Korean organic farming sector, constructing comprehensive national-level organic action plan, which has policy developing, implementing, regulating, evaluating and evolving functions, might be the most efficient choice.

• Journal of the Korean Association of Geographic Information Studies
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• v.7 no.3
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• pp.90-98
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• 2004

This paper illustrates some practical geographic information system (GIS) applications for aiding fishery managers and coastal area planners in analysing the likely control scheme of coastal farming areas, and in providing a flexible framework for decision making on fishery development and zoning issues. The effective management of marine farming operation is vitally important since it can greatly influence economic availability by determining capital outlay and by affecting running costs, rates of productions and mortality factors. GIS has been widely adopted elsewhere as a potent management tool in both the private and public sectors. GIS is now being extensively adopted in marine-associated activities. Here, we have used GeoMania v2.5 GIS software and its 3D Analyst extension module to visualize marine farming areas data that were collected around the Jinhae bay.