• Journal of The Korean Society of Agricultural Engineers
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• v.64 no.5
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• pp.27-39
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• 2022

The smart farm is recognized as a solution for future farmers having positive effects on the sustainability of the poultry industry. Intelligent microclimate control can be a key technology for broiler production which is extremely vulnerable to abnormal indoor air temperatures. Furthermore, better control of indoor microclimate can be achieved by accurate prediction of indoor air temperature. This study developed predictive models for internal air temperature in a mechanically-ventilated broiler house based on the data measured during three rearing periods, which were different in seasonal climate and ventilation operation. Three machine learning models and a mechanistic model based on thermal energy balance were used for the prediction. The results indicated that the all models gave good predictions for 1-minute future air temperature showing the coefficient of determination greater than 0.99 and the root-mean-square-error smaller than 0.306℃. However, for 1-hour future air temperature, only the mechanistic model showed good accuracy with the coefficient of determination of 0.934 and the root-mean-square-error of 0.841℃. Since the mechanistic model was based on the mathematical descriptions of the heat transfer processes that occurred in the broiler house, it showed better prediction performances compared to the black-box machine learning models. Therefore, it was proven to be useful for intelligent microclimate control which would be developed in future studies.

• Bulletin of the Korean Chemical Society
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• v.31 no.11
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• pp.3297-3300
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• 2010

In this study, the 3D-QSARs (three-dimensional quantitative structure-activity relationships: CoMFA and CoMSIA) between structural changes of N-phenyl-O-phenylthionocarbamate analogues (1-30) and their fungicidal activities against the capsicum phytophthora (Phyophthora capsici) fungi were analyzed, then considered quantitatively in terms of minimum structural requirements for fungicidal evaluation. The statistical qualities ($r^2_{cv.}$ = 0.510 and $r^2_{ncv.}$ = 0.948) of the optimal CoMFA 1 model are improved over the other models in the conditions of field combinations, and the two alignments. In the optimal CoMFA 1 model, relative contribution percentages of the CoMFA field were: steric field, 52.3%; electrostatic field, 37.8%; hydrophobic field, 9.9%. Results were similar for the CoMFA 2 model. Therefore, the steric field of the analogues had the highest contribution ratio for fungicidal activity. Specifically, with the contour map of steric fields, the fungicidal activity increased when bulky steric Y-substituents were introduced to the meta-position on the N-phenyl ring and small steric Y-subsituents were introduced to its para-position.

• International Journal of Computer Science & Network Security
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• v.22 no.3
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• pp.29-36
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• 2022

In deep learning classification tasks, most models frequently assume that all labels are available for the training datasets. As such strategies to learn new concepts from unlabeled datasets are scarce. In fingerprint classification tasks, most of the fingerprint datasets are labelled using the subject/individual and fingerprint datasets labelled with finger type classes are scarce. In this paper, authors have developed approaches of classifying fingerprint images using the majorly known fingerprint classes. Our study provides a flexible method to learn new classes of fingerprints. Our classifier model combines both the clustering technique and use of deep learning to cluster and hence label the fingerprint images into appropriate classes. The K means clustering strategy explores the label uncertainty and high-density regions from unlabeled data to be clustered. Using similarity index, five clusters are created. Deep learning is then used to train a model using a publicly known fingerprint dataset with known finger class types. A prediction technique is then employed to predict the classes of the clusters from the trained model. Our proposed model is better and has less computational costs in learning new classes and hence significantly saving on labelling costs of fingerprint images.

• Journal of Practical Agriculture & Fisheries Research
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• v.11 no.1
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• pp.21-33
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• 2009

The agricultural tourism is something that urban people can have an experience of the traditional culture and knowledge of the agriculture, so that it result the improvement of the agricultural profit and keep the special agricultural system. Recently, the demand of the agricultural tourism was increasing, but it was not really enough today that the practice of the tourism for essential farm experience or physical plan. The experiments were practiced by a land in Sucheong-li, Namjong-myun, Gwangju-si, Gyeonggi-do which provides the program for the basic plan and management of the experiential farm, so it shows a developmental model of that typical farm. The basic design of developmental model was formed by the analysis of the natural, civilized and visual environments. The site plan for the experiential farm was composed of a parking lot, public facilities, resting place, experiential site, sports facilities and pedestrian space. There was an examination that the activation of experiential farm should change the concept of the big production or labor-focused farm from a tourism-focused form.

• Korean Journal of Organic Agriculture
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• v.24 no.1
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• pp.29-44
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• 2016

The major purpose of this study was analyzing of farmer's intention in related to organic agriculture by using of the Theory of Planned Behavior (TPB). Farmers of Chungchung Province (n=164) were administered a questionnaire survey that measured TPB constructs. The data and hypotheses were analyzed using multiple regression and confirmatory factor analysis by SPSS 21.0 and AMOS 21.0. Results showed that attitude, subjective norms, and perceived behavior of control were all positively related to farmer's intention of organic agriculture and explained power of the model was relatively high which was 51 percent. Also the results of the analysis showed that the subjective norm was a key dimension of farmer's intention in terms of standardized coefficient. The study demonstrated that the reduced theory of planned behavior was fit for factors of farmer's intention. The meaning of the study and implications for future studies were discussed.

• Korean Journal of Organic Agriculture
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• v.30 no.2
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• pp.231-239
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• 2022

The purpose of this study is to provide meaningful information for various stakeholders' decision-making process through forecasting of domestic beef demand. Three different exponential smoothing models were evaluated, and a double exponential smoothing model was used to forecast domestic beef demand based on time-series data, As a result of the forecast, domestic beef consumption is expected to increase by 37,000 to 40,000 tons per year from 2020 to 2025.

• Korean Journal of Organic Agriculture
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• v.11 no.3
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• pp.21-35
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• 2003

Environmental-friendly agriculture(EFA) has been mainly developed at many areas which have factors of natural, social cultural and economic characteristics. These rural areas can be developed into environmental-friendly space to preserve ecosystem, natural and cultural scenery, and environmental resources. The plan for developing a regional agriculture has to get central operating bodies, producers' organizations, a homogeneous district for farming, and so on. This case study is focused on development directions and situations of the EFA of Kosam area in Anseong. Kosam cooperatives is a central managing body to produce and sell rice by duck-farming method, and to develop rural area. This cooperatives is one of the leading those that have developed the regional agriculture in Korea. Kosam area is at a disadvantage of natural-geographical conditions and farming size. Kosam cooperatives has been trying to overcome these agricultural weaknesses by introducing duck-farming method. They have got many excellent results through developing EFA as a regional agriculture. Kosam area will be a good place for green tourism if they can actualize the combination model of three demand factors (natural and agricultural scenic view, natural-friendly recreation and safe food) for green tourism in the near future.

• Asian-Australasian Journal of Animal Sciences
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• v.17 no.10
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• pp.1350-1353
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• 2004

To further investigate the regions on porcine chromosome 7 that are responsible for economically important traits, phenotypic data from a total of 287 F2 individuals were collected and analyzed from 1998 to 2000. All animals were genotyped for eight microsatellite loci spanning the length of chromosome 7. QTL analysis was performed using interval mapping under the line-cross model. A permutation test was used to establish significance levels associated with QTL effects. Observed QTL effects were (chromosomewide significance, position of maximum significance in centimorgans): Birth weight (<0.01, 3); Carcass length (<0.05, 80); Longissimus muscle area (<0.01, 69); Skin percentage (<0.01, 69); Bone percentage (<0.01, 74); Fat depths at shoulder (<0.05, 54);Mean fat depth (<0.05, 81); Moisture in m. Longissimus Dorsi (<0.05, 88). Additional evidence was also found which suggested QTL for dressing percentage and fat depths at buttock. This study offers confirmation of several QTL affecting growth and carcass traits on SSC7 and provides an important step in the search for the actual major genes involved in the traits of economic interest.

• Korean Journal of Environmental Agriculture
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• v.29 no.3
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• pp.304-308
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• 2010

This study compared and analyzed existing studies and released papers to identify the "definition and scope of urban agriculture" which correspond to the circumstances of Korea based on the fact that urban agriculture was selected as one of the measures to pursue green growth by the Presidential Committee on Green Growth (PCGG) and the discussions and deliberations among PCGG, government, academia, civic organizations, and experts. It also aims to present the ways of policy to facilitate the development of urban agriculture based on the mentioned identification. This research proposes the definition of urban agriculture as 'all agricultural activities that incorporates multi-functional public benefits of agriculture performed within the administrative district of a city. However, the scope of urban agriculture should exclude the agricultural sites, the methods, and the activities that are against the multi-functional public benefits of agriculture, which will be determined depending on the spaces, methods, and purposes of planting food crops. In order to facilitate the development of urban agriculture, the government should implement the policy measures as following: (1) to analyze spaces for farming, and provide the spaces to the citizens; (2) to prepare legislation and institution that will allow citizens to use the farming spaces continuously; (3) to develop Korean-style urban agriculture model that fully reflects the features of Korean cities; (4) to develop a system where the urban citizens can easily learn and experience the urban agriculture; and, (5) to provide incentives that will attract active participation of urban citizens such as carbon mileage. (6) to analyze effect of urban agriculture to save energy and food self-sufficiency.

• Plant Biotechnology Reports
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• v.2 no.1
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• pp.41-46
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• 2008

Salinity stress is a major limiting factor in cereal productivity. Many studies report improvements in salt tolerance using model plants, such as Arabidopsis thaliana or standard varieties of rice, e.g., the japonica rice cultivar Nipponbare. However, there are few reports on the enhancement of salt tolerance in local rice cultivars. In this work, we used the indica rice (Oryza sativa) cultivar BR5, which is a local cultivar in Bangladesh. To improve salt tolerance in BR5, we introduced the Escherichia coli catalase gene, katE. We integrated the katE gene into BR5 plants using an Agrobacterium tumefaciens-mediated method. The introduced katE gene was actively expressed in the transgenic BR5 rice plants, and catalase activity in $T_1$ and $T_2$ transgenic rice was approximately 150% higher than in nontransgenic plants. Under NaCl stress conditions, the transgenic rice plants exhibited high tolerance compared with nontransgenic rice plants. $T_2$ transgenic plants survived in a 200 mM NaCl solution for 2 weeks, whereas nontransgenic plants were scorched after 4 days soaking in the same NaCl solution. Our results indicate that the katE gene can confer salt tolerance to BR5 rice plants. Enhancement of salt tolerance in a local rice cultivar, such as BR5, will provide a powerful and useful tool for overcoming food shortage problems.