• 한국환경보건학회지
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• 제42권5호
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• pp.333-344
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• 2016

Objectives: This study aimed to examine risk-accepting personality traits and associated factors among farmers. Methods: Data were collected from farmers aged over 40 living in Goryeong, North Gyeongsang-do Province, Korea. Study participants were enrolled in the Korean Rural Cohort study from 2011 to 2014. Surveys for the risk perception of farming were made through face-to-face interviews. Chi-square tests and logistic regression analysis were conducted adjusting for gender, age, marital status, and education. Results: Several factors such as gender, age, marital status, age first worked as a farmer, duration of farming, and history of pesticide poisoning were associated with risk-accepting personality traits among farmers. Farmers with risk-accepting personalities tend to be older, less educated, and have self-employed health insurance. Farmers who started farming after the age of 50 are likely to be risk averse compared to farmers who started farming before the age of 20 (OR=0.41, 95% CI; 0.21, 0.82). Frequent spraying of pesticides was marginally associated with higher risk acceptance among female farmers (OR=1.61, 95% CI: 0.99, 2.64). Male farmers who had experienced pesticide poisoning in their lifetime showed higher odds of risk-accepting personality traits (OR=2.20, 95% CI: 1.03, 4.72) Conclusion: Risk-acceptors were more likely to spray pesticides frequently and to experience more pesticide poisoning compared to risk-averse individuals. This result suggests that farming hazards are to some degree driven by risk-accepting personality traits. Further investigation of how risk-accepting behaviors influence farming practices and pesticide poisoning is needed.

• 농촌지도와개발
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• 제12권2호
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• pp.257-270
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• 2005

The purposes of this study were to explore the differences of decision making in farming settlement and to analyze attributes for vocational decision making of rural youth. The study was carried out by literature review and questionnaire. To analyze vocational decision making of rural youth, the data were collected from 196 rural youth by stratified random sampling. The SPSSWIN/ver10 was used for analyzing data with frequency, percentage, t-test ANOVA and factor analysis. The major findings of this study were as follows; 1) Rural youth decided to become farmers at the middle and high school stage for farming succession and eco-friendly life orientation. 2) Youth parents were the major source of influence on their rural youth to settle in farming. 3) Rural youth with high economic status, upper academic achievement and university graduation showed higher autonomous decision making and lower heteronomous decision making. 4) Rural youth with low economic status and low academic achievement showed unstable vocational decision making. 5) The study suggested that rural youth with unstable decision making should get more educational opportunities and supports.

• 한국유기농업학회지
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• 제19권spc호
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• pp.99-102
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• 2011

• 농촌지도와개발
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• 제23권3호
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• pp.257-270
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• 2016

This study was to investigate the perception and the usability of gardening program in a community for protection of school bullying at a middle school. The data collected from 640persons of middle school students, their parents, teachers, residents, NPO staffs for youth, active persons in urban agriculture and farming at 3communities during 2014.10.21.~2014.11.5. The degree on necessity of gardening program to protect school bullying were statistical significant different by age, garden experience, understanding and exchanging with youth and neighbors, keeping relationship or communication between school and family or residents. Most of parents, teachers prefer to increase the family counseling program by NPOs for protection of school bullying. On the contrary, concerns in urban agriculture and farming strengthened to cheer up gardening program for youth. In this study also, it was agreed that gardening program is useful for protection of school bullying and for stability of emotional safety for youth involving in middle school students. From these results, gardening program will be more contribution to communications and exchanges between school, student's family and their community persons as like neighbors, NPO staffs, concerns in urban agriculture and farming.

• The Journal of Asian Finance, Economics and Business
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• 제8권4호
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• pp.539-547
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• 2021

Indonesia is the largest exporter of palm oil in the world. The province of West Sulawesi is the second-largest palm oil producer in Indonesia. This study examines the contributions of oil palm farming to total household income and the factors affecting the household expenditure of oil palm smallholders in West Sulawesi, Indonesia. This study also identifies the problems related to oil palm production in the province. Primary data were collected from 174 oil palm smallholders using a standardized questionnaire in the Lariang sub-district, Pasangkayu, West Sulawesi, Indonesia. Several statistical tools were employed to analyze the data. The study estimated the average household income of the smallholders at IDR 30,417,441 per year, out of which 85,8% comes from oil palm farming, followed by non-oil palm farming (8%) and off farming (6.2%). On the other hand, the average household expenditure was found to be IDR 23,476,069 per year which 66% goes for food consumption and 34% for non-food consumption. The findings revealed that household expenditure of the oil palm smallholders is strongly and positively affected by a number of factors such as household income, education level, family size, earning members in the family, number of children attending school, and amount of credit taken by the household.

• Asian-Australasian Journal of Animal Sciences
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• 제22권1호
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• pp.57-71
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• 2009

Crop-livestock mixed farming systems depend on the efficiency with which nutrients are conserved and recycled. Home-grown forage is used as animal feed and animal excretions are applied to cultivated crop lands as manure. The objective of this study was to develop a mixed farming system model for dairy cattle in Japan. The model consisted of four sub-models: the nutrient requirement model, based on the Japanese Feeding Standards to determine requirements for energy, crude protein, dry matter intake, calcium, phosphorus and vitamin A; the optimum diet formulation model for determining the optimum diets that satisfy nutrient requirements at lowest cost, using linear programming; the herd dynamic model to calculate the numbers of cows in each reproductive cycle; and the whole farm optimization model to evaluate whole farm management from economic and environmental viewpoints and to optimize strategies for the target farm or system. To examine the model' validity, its predictions were compared against best practices for dairy farm management. Sensitivity analyses indicated that higher yielding cows lead to better economic results but higher emvironmental load in dairy cattle systems integrated with forage crop production.

• 한국환경과학회지
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• 제27권5호
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• pp.291-297
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• 2018

Vertical farming systems offer many advantages in urban spaces. They have also been proposed as an engineering solution to increase the productivity per unit area of cultivated land by extending crop production in the vertical dimension. However, soil water retention is a major constraint affecting the plant environment. This study analyzed the effects of growth environment of Tropaeolum majus and Fragaria spp., on the vertical farming system, by using four different types of cover material types including sphagnum moss (Control), a shading net (S.N.), multi-layered fabric (M.L.F.), and non-woven fabric (N.W.F.). The volumetric soil moisture contents and plant characteristics were investigated from May to September 2014. Plant materials were individually cultivated in hanging baskets measuring $30{\times}17{\times}17cm$, filled with a mixture of soil and perlite, and placed at 1.5m height. Each treatment was performed in quadruplicate and consisted of five plants, amounting to a total of 20 plants. The analysis indicated that different covers were associated with multiple functions and soil water retention improvements may have a positive impact on the vertical farming system. The difference in soil water retention increased in the following order: M.L.F. > Control > N.W.F. > S.N.. Furthermore, the differences in plant height and survival rate increased in the following order: M.L.F. > Control > N.W.F. > S.N. Therefore, M.L.F yielded satisfactory good response for the vertical farming system of cover materials. Our results clearly demonstrate that vertical spaces represent an attractive alternative to urban farming and suggest that further increases in yield may be achieved via different cover materials in vertical farming using hanging baskets.

• 농촌계획
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• 제19권2호
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• pp.183-192
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• 2013

As the number of aid projects for farming village has been increased, rural amenity is being emphasized. On the contrary, we have a shortfall in excavation and utilization of great resources due to the utilization limit for resources in each village and similarity with the resources from other areas. Thus, we're trying to investigate the ways to make effective use of excellent amenities for farming village development project. In this study, through the principal component analysis, we tried to extract the key factors from the selected areas and examine actual application case of resources. This study categorized the key resource into the big class such as development, farming, nature and experiencing and target areas were categorized into two main classes accordingly. The finding shows 5 example places selected as great areas are taking advantage of extracted excellent resources and 2 target areas are also utilizing enough of excellent resources of each area. Not only limit of used items, subjective view of researcher and resources of each area but also participatory intention of residents and management ways should be additionally considered for another study from now on.

• 한국건설안전학회 논문집
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• 제3권1호
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• pp.1-8
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• 2020

농어촌 민박 이용객의 증가와 정부의 관련 정책에 대한 다양한 지원이 이루어지고 있다. 그러나 농어촌 민박의 숙박 서비스에 대한 안전기준이나 안전지표가 부족하여 2018년 12월 강릉 펜션 일산화탄소 누출사고, 2020년 1월 동해 펜션 가스폭발사고 등 대형사고가 발생하고 있으며 국민의 안전을 위협하고 있다. 숙박업소와 달리 농어촌 민박의 경우 소화기와 화재경보기 등의 일정 요건을 갖추면 영업이 가능하도록 되어있다. 농림축산식품부는 농어촌 민박 제도개선 대책으로 농어촌정비법 개정을 통해 가스와 전기안전 전문가가 안전점검을 하고 그 확인서를 제출하는 제도를 도입하고 있다. 본 연구의 목적은 농어촌 민박의 숙박시설에 대한 안전기준과 안전지표를 제시하여 농어촌 민박과 관련한 지방자치단체와 정부의 운영관리와 점검에 필요한 기준을 제시하는 데 있다. 숙박시설의 안전관리는 국민의 가장 기본적인 안전과 직결된다. 따라서 농어촌 민박에 대한 적절한 안전기준을 제시하고 신고필증을 배부할 필요가 있으며 지속적인 수시점검과 안전교육 및 소방, 질식사고 등에 대한 사전예방을 위한 대책을 세울 필요가 있다. 본 연구를 통해 농어촌 민박의 안전관리 실태에 대한 조사와 분석 결과를 바탕으로 안전관리 기준 및 안전지표, 수시점검 방법, 사고예방 교육을 제공하고 제도화 할 필요성이 있는 것으로 나타났다. 농어촌 민박의 숙박이용 국민에 대한 안전확보를 위해 반드시 안전관리 기준과 교육을 제도화하는 것이 시급한 것으로 보인다.

• Journal of Animal Science and Technology
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• 제66권1호
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• pp.31-56
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• 2024

Pig farming, a vital industry, necessitates proactive measures for early disease detection and crush symptom monitoring to ensure optimum pig health and safety. This review explores advanced thermal sensing technologies and computer vision-based thermal imaging techniques employed for pig disease and piglet crush symptom monitoring on pig farms. Infrared thermography (IRT) is a non-invasive and efficient technology for measuring pig body temperature, providing advantages such as non-destructive, long-distance, and high-sensitivity measurements. Unlike traditional methods, IRT offers a quick and labor-saving approach to acquiring physiological data impacted by environmental temperature, crucial for understanding pig body physiology and metabolism. IRT aids in early disease detection, respiratory health monitoring, and evaluating vaccination effectiveness. Challenges include body surface emissivity variations affecting measurement accuracy. Thermal imaging and deep learning algorithms are used for pig behavior recognition, with the dorsal plane effective for stress detection. Remote health monitoring through thermal imaging, deep learning, and wearable devices facilitates non-invasive assessment of pig health, minimizing medication use. Integration of advanced sensors, thermal imaging, and deep learning shows potential for disease detection and improvement in pig farming, but challenges and ethical considerations must be addressed for successful implementation. This review summarizes the state-of-the-art technologies used in the pig farming industry, including computer vision algorithms such as object detection, image segmentation, and deep learning techniques. It also discusses the benefits and limitations of IRT technology, providing an overview of the current research field. This study provides valuable insights for researchers and farmers regarding IRT application in pig production, highlighting notable approaches and the latest research findings in this field.