Proceedings of the Korean Society for Agricultural Machinery Conference
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1993.10a
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pp.139-147
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1993
The rapid industrial growth, the consequent shortage of farm labour and increase in their wage level have facilitated more capitalized agricultural mechanization pattern in Korea. The efficiency of capital intensive machine is highly dependent on farm land structure. This paper describes a model explaining the relationship between farmland structure and required inputs for machine operation and to estimate required inputs for machine operation on the national basis for Korea for its paddy production system. The machine cost is closely related to operation area, but the required labour-hours are more related to machine type adopted . From the technology introduction point of view, if capital intensive machine is introduced, less labour-hours are required but machine kW-hours increase rapidly. From the plot geometry point of view, on good geometry plots, machine kW-hour and labour-hour required are less than that on the poor geometry plots. The kW-jhour per hectare of mechani al energy input id better indicator of mechanization level than kW per hectare or number of machine. If the adopted technology is more capital intensive and plot geometry is good, the cost reduction effect is highly significant.
In multi-dimensional image, ICA-based feature extraction algorithm, which is proposed in this paper, is for the purpose of detecting target feature about pixel assumed as a linear mixed spectrum sphere, which is consisted of each different type of material object (target feature and background feature) in spectrum sphere of reflectance of each pixel. Landsat ETM+ satellite image is consisted of multi-dimensional data structure and, there is target feature, which is purposed to extract and various background image is mixed. In this paper, in order to eliminate background features (tidal flat, seawater and etc) around target feature (laver farm) effectively, pixel spectrum sphere of target feature is projected onto the orthogonal spectrum sphere of background feature. The rest amount of spectrum sphere of target feature in the pixel can be presumed to remove spectrum sphere of background feature. In order to make sure the excellence of feature extraction method based on ICA, which is proposed in this paper, laver farm feature extraction from Landsat ETM+ satellite image is applied. Also, In the side of feature extraction accuracy and the noise level, which is still remaining not to remove after feature extraction, we have conducted a comparing test with traditionally most popular method, maximum-likelihood. As a consequence, the proposed method from this paper can effectively eliminate background features around mixed spectrum sphere to extract target feature. So, we found that it had excellent detection efficiency.
Journal of Agricultural Extension & Community Development
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v.14
no.2
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pp.373-394
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2007
The purposes of this study were to explore decision-making patterns of rural couples and to clarify the differences between socio-demographic variables related to the patterns. The data were gathered from 1,870 rural households through interviews with structured questionnaire in the 187 rural communities sampled by multi-staged cluster stratified sampling method in November 2005. A total of 1,106 farm households including householder and spouse participated in the interview. The results of this study were as follows: First, in general, mainly householder made decision-making in the areas of dealing with real estate and selling farm products, while spouse decided in the areas of choosing television channel and deciding living expenses. Second, there were no significant differences of patterns by age, education and income level. Third, decision-making patterns were significantly different by sex and family type. According to the results of the study, in farm household, 'pattern of mainly householder or husband decision-making' was high yet as regarding agricultural decision making. Therefore, researchers suggested that educational program could be helpful for rural couples to participate in practicing gender equity decision- making.
Background and objective: This study seeks to investigate domestic agro-healing farm resources so that preliminary data can be obtained on the systematic provisions for agro-healing programs in order to improve service quality and to identify the quality of agro-healing policy services. Methods: For this study, owners of agro-healing facilities were asked 24 questions via an online survey. An importance-performance analysis (IPA) was conducted to identify service quality for each policy sector. Results: Respondents' satisfaction levels were low when compared to agro-healing farm owners' perceptions of the above-average importance of each sector. The results from the resource analysis of domestic agro-healing farms indicated that the main operational purposes of farms were, in descending order, experience (90.0%), healing (86.7%), and education (84.0%). With respect to the type of program that was operated, cultivating crops (horticultural therapy) was identified most frequently at 83.3%. Conclusion: As a result of this study, the resources possessed by agro-healing farms were identified. In addition, the results of the IPA analysis in terms of service quality are not as good as expected, and performance levels should be increased to improve this. The results of this study are expected to provide useful information not only to improve the quality of agro-healing services, but also to revitalize the agro-healing industry while developing a systematic agro-healing program.
Proceeding of Spring/Autumn Annual Conference of KHA
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2008.11a
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pp.425-430
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2008
Residential architecture was a lot more changed due to adopting modern residential type since 1960s. But people in farm houses are still living in a space of their past life causing a discrepancy. For this reason, the paper will identify the changed use for farm houses focusing on their plane views, and reason for the changed use as well. The result of this paper is expected to play a role for practical data to reasonably change and re-model farm houses located in back of cities such as Hyunpoong area. Targeted area for this paper, in order to survey change in residential environment due to industrialization and modernization, has narrowed down to 42 farm houses which are located Yuga-Myun, Hyunpoong-Gun, Dalsung-Gun where tradition and modern characteristics are harmonized being built before 1960s Researching relied on both documentary records and survey on the site, and survey on documentary records was performed in a way that preceding research for changed use of residential area was to be compared with people's farm houses in Kyeongsang-Do area, and survey on the site was carried out by photographing and land surveying and interview and analysis for them, and finally we acquired the result by analyzing use of interior for houses and plane view and relations between culture and social environment. From the result of this paper, there was a trend that farm houses had been improved function of a specific space by enlarging space and enlarged construction for inner rooms. And among spaces, kitchen and bath room was mostly enlarged its left side, and inner room had mostly enlarged its rear side, and kitchen was frequently enlarged in its side space. These kinds of variation in space is believed to be result of change of life style and house facilities
This study was performed to offer the basic data for the design of farm shoes. 265 Korean female farmers aging between the 40s to the 80s volunteered for this study and we measured 40 items on each foot with the 3D foot scanner. First, the differences between farmers' feet and non-farmers' feet were analyzed. Farmers' feet were thicker in the instep areas, but had lower arch height than non-farmers' feet. In addition, farmer's feet were tilted to the inside. Next, eight factors were extracted among the 40 measuring items, and the classification criteria of the foot shape was analyzed. The important factors were: size of foot length and volume of ankle, malleolus height and size, volume of the front part of ankle, medial & lateral ball width, and vertical size of foot. Third, three clusters according to the foot shapes were categorized by cluster analysis of eight factor scores. Foot type 1 was medium in foot length, big in thickness, large in lateral ball width, small in toe 1 angle, and tilted to the inside. Foot type 2 was long and slim, and big in toe 5 angle. Foot type 3 was short in foot length, medium in volume of the front part of ankle, large in medial ball width, and big in toe 1 angle. Despite its shortness, foot type 3 was thick and showed severe deformation in toe 1. Lastly, the frequency distributions of the foot types in each age group were analyzed. Female farmers of the forties showed high frequency in type 1 and other age groups showed high frequency in type 2. The older female farmers showed higher frequency of type 3.
Mao, W.H.;Albrecht, E.;Teuscher, F.;Yang, Q.;Zhao, R.Q.;Wegner, J.
Asian-Australasian Journal of Animal Sciences
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v.21
no.5
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pp.640-647
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2008
Breed differences in adult animals are determined during fetal development. If interventions are to be developed that influence growth of muscle and fat, it is important to know at which time during gestation breed differences appear and are fixed. The objective of this study was to characterize fetal development in cattle of different breeds. Pregnant cows of 4 cattle breeds with different growth impetus and muscularity were slaughtered under normal processing conditions and the fetuses were removed. German Angus, a typical beef cattle; Galloway, a smaller, environmentally resistant beef type; Holstein Friesian, a dairy type; and Belgian Blue, an extreme type for muscle growth were used. Fetuses of each breed were investigated at 3, 6, and 9 mo of gestation. Fetuses were weighed and dissected into carcass, organs, and muscles. Body fat weight was obtained using the Soxhlet extraction method. Fetal weight increased most rapidly in the third trimester of gestation mainly due to the accelerated muscle and fat deposition. The organ weight to body weight (BW) ratios decreased and the muscle and fat weight to BW ratios increased. At 3 mo of gestation, Galloway fetuses had the significantly smallest BW, half-carcass weight, leg weight, organ weight, muscle weight and shortest leg length. In contrast, Holstein fetuses had the significantly greatest BW, liver, kidney, and lung weights and significantly longest leg length among the 4 breeds, but no differences between Holstein Friesian and Belgian Blue were detected in half-carcass and leg weight. Indeed, Belgian Blue fetuses had the significantly greatest half-carcass weight, leg weight, and muscle weight at 9 mo of gestation, and Galloway had a significantly greater body fat to BW ratio than Holstein Friesian and Belgian Blue. These differences were not evident at 3 and 6 mo of gestation. These data show that the profound increase of tissue and organ weights occurred in later gestation in cattle fetuses even though breed differences were evident as early as 3 mo of gestation. Depending on the tissue of interest, impacting fetal growth likely needs to occur early in gestation before the appearance of breed-specific differences.
In January 2010, high mortalities of ducklings occurred in two adjacent farms. Ducklings in farm A showed neurologic signs including paddling, opisthotonus and lameness, but ducklings from farm B had no specific clinical signs. At post mortem, diffused hemorrhagic spots in the liver and hemorrhages in the small intestine were observed in ducklings from farm A, and ducklings from farm B had only proventricular ulceration. Microscopically, multiple necrosis of hepatocytes, hyperplasia of the bile ducts, hemorrhages, infiltration of lymphocytes and bacterial colonies were commonly observed in the liver of ducklings from both farms. Also, type A and C duck hepatitis virus (DHV) were isolated from farm A and farm B, respectively and Salmonella typhimurium was commonly isolated and identified serologically and biochemically. To our knowledge, this is the first report about the co-infection of DHV and Salmonella typhimurium in ducklings, and co-circulation of type A and C duck hepatitis viruses in Korea.
The primary aim of this study was to investigate biosecurity practices in pig farms and to determine the major risk factors associated with PCV2 infection for a sampled swine population in Korea. To this end, we analyzed data from a cross-sectional study of 296 farrow-to-finish farms, which was conducted between March and September 2014 to explore the prevalence of swine disease at farm level. Face-to-face interviews by on-site visit of trained veterinarians were conducted with the farm owners or managers using a standardized questionnaires with information about basic demographical data and management practices. Farms were classified as negative or positive through the use of infection profiles that combined data on serological testing including PCR antigen test result, antibody titer and sero-conversion pattern at each age category taking into account vaccination status. Data were analyzed using multivariate ordinal logistic regression. Results from this study indicated that biosecurity level of the farms was considered not good given low compliance of the biosecurity programs and facilities in the farm: off-site removal of dead stocks (7%), off-site location of storage facility for incoming feeds (12.6%), off-site pick-up location for finishers (19.3%), restrictions on feed supplier vehicles for farm entrance (19.6%), restriction of finisher trucks entering the farm (22.4%), and restriction on manure disposal trucks entering the farm (26.4%). In the final model (n = 255), allowance of finisher truck driver to the pig unit had increased risk of infection (OR = 2.4, 95% CI 1.22-4.67) whereas farms with a sign forbidding the entrance had decreased risk of infection (OR = 0.19, 95% CI 0.10-0.58). Further comprehensive research with larger sample size is required to better understand the multifactorial characteristic that some predisposing risk factors that were not available in this study. To the best knowledge of the authors, this was the first study to use empirical data to report risk factors associated with PCV2 infection in the Korean pig farms. Results from the current study could be used to decide optimal biosecurity measures to reduce the impact of PCV2 infection to farmers and policy makers.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.18
no.6
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pp.41-55
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2023
In order to secure sustainable competitiveness of startups, business model innovation is an important task to achieve competitive advantage by transforming the various elements that make up the business model. This study conducted a multi-case analysis study on leading smart farm companies around the world using an analysis framework based on business model theory. Through this, we sought to identify business model types and their constituent elements. For this, 19 companies were selected from the list of top 10 investment startups of the year for the past three years published by Agfunder, a global investment research company specializing in AgTech. Then data collection and analysis of the company cases were conducted according to the case study protocol. As a result of the study, the business model types were analyzed into four types: large-scale centralized production model, medium-to-large local distributed production model, small-scale hyperlocal modular FaaS model, and small-scale hyperlocal turnkey solution supply model. A comparative analysis was conducted on five business model components for each type, and strategic implications were derived through this. This study is expected to contribute to improving the competitiveness of domestic smart farm startups and diversifying their strategies by identifying the business models of overseas leading companies in the smart farm field using an academic analysis framework.
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