• Journal of Practical Agriculture & Fisheries Research
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• v.20 no.2
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• pp.13-29
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• 2018

Currently, rural labor markets are undergoing a structural change in which the proportion of non-agricultural industries is increasing, instead of decreasing the proportion of agriculture. The purpose of this study is to propose policy for job creation in rural areas through analyzing the employment situation in Rural Korea in the context of this structural change. Using the Census of Agriculture, Farm Household Economy Survey, we analyzed the increase of low income farmers and self-employed farmers. We analyzed the changes of non-farm employment in rural areas using the Census on Establishment. The main results of the study are as follows. First, farms' pathways are very diverse by the levels of income from their own farming and other gainful activities. It is necessary to implement policies that take into account the development pathways of farm household. Second, most of the farms are in low-income and self-employment status. In order to increase their incomes, it is necessary to increase non-farm income earning policy. The rural non-farm economy is becoming increasingly important in rural Korea. The growth of the non-farm economy will be crucially important when it comes to creating new jobs in rural areas in rural Korea. Third, it is necessary to provide systematic support for rural entrepreneurship as a core policy for expanding jobs beyond agriculture. Rural entrepreneurship has the potential to drive innovations that can reduce poverty and create employment. Fourth, there is a need for measures to increase jobs in the welfare field, which is growing fastest in recent years. In the welfare field, we can find vigorous collective actions in some rural communities such as community business, cooperative movement and various community development activities. Those activities will help increase the employment of aged farmers and low-income farm household.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.335-340
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• 2021

This study conducted research on creating an environment for maker education programs for robot and SW education, development and application of maker education programs for low-grade elementary school students in farming and fishing villages. Based on the preceding maker education model, the OMCSI model was developed for the lower grade level of elementary school, and based on this, five WeDo-utilized elementary maker education programs were developed. From April 1, 2020 to October 30, 2020, the results of applying the elementary school maker education program using WeDo Robot 2.0 to 10 second graders of 10 Elementary School in Gyeongsangnam-do are as follows. The average increased by 3.40 points (t=-2.378, p=0.034) and the average increased by 3.30 points (t=-2.329, p=0.040). The average was also increased by 3.40 points (t=-2.458, p=0.038). Finally, it rose to 3.70 points (t=-2.449, p=0.037) for its reasoning ability. That is, all four sub-elements of computing thinking had a significant probability of 0.04, indicating statistical significant differences between scores of pre-post computing thinking. Therefore, the Elementary Maker Education Program using WeDo robots has worked very effectively to improve students' computing thinking skills.

• The Korean Journal of Franchise Management
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• v.2 no.2
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• pp.70-83
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• 2011

The number of agricultural products due to open in response to international competitiveness of the farming press and the need for structural adjustment in agriculture and in agricultural crops receive a fair market price, fair trade, such as improving efficiency sidaejeo appropriate response to the request of the government must have. For this purpose, compared to the communist bojaphan agricultural water efficiently changing the structure of the distribution, agricultural products originating from the acquisition phase choice of shipping a stable product supply and plans to expand production system to induce a smooth supply of agricultural products, expand processing capacity and sales control should be. Also, in the distribution process by eliminating various immoral conduct commerce retail establishment and enforcement of policies for efficient and accurate distribution statistics, information is needed. The ultimate goal of agricultural restructuring and ensure fair price for producers sangpuui and improvement of production facilities for maximizing and affordable for consumers, according to your preferences to receive the best offer will be Foo. Therefore, management increases the efficiency of just distribution costs, or margins, lowering the improvement is not practical to restructure the distribution structure of costs for the best product and must supply the next country of agricultural products, strengthen the consumer's purchase desire to meet will be.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.128-130
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• 2021

This study aims to implement a Regression Analysis system for predicting the appropriate production of flatfish. Due to Korea's signing of FTAs with countries around the world and accelerating market opening, Korean flatfish farming businesses are experiencing many difficulties due to the specificity and uncertainty of the environment. In addition, there is a need for a solution to problems such as sluggish consumption and price drop due to the recent surge in imported seafood such as salmon and yellowtail and changes in people's dietary habits. in this study, Using the python module, xlwings, it was used to obtain for the production amount of flatfish and to predict the amount of flatfish to be produced later. was used to predict the amount of flatfish to be produced in the future. Therefore, based on the analysis results of this prediction of flatfish production, the flatfish aquaculture industry will be able to come up with a plan to achieve an appropriate production volume and control supply and demand, which will reduce unnecessary economic loss and promote new value creation based on data. In addition, through the data approach attempted in this study, various analysis techniques such as artificial neural networks and multiple regression analysis can be used in future research in various fields, which will become the foundation of basic data that can effectively analyze and utilize big data in various industries.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.861-866
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• 2023

Unlike conventional smart farms that require chemical fertilizers and large spaces, aquaponics farming, which utilizes the symbiotic relationship between aquatic organisms and crops to grow crops even in abnormal environments such as environmental pollution and climate change, is being actively researched. Different crops require different environments and nutrients for growth, so it is necessary to configure the ratio of aquatic organisms optimized for crop growth. This study proposes a method to measure the degree of growth based on area and volume using image processing techniques in an aquaponics environment. Tilapia, carp, catfish, and lettuce crops, which are aquatic organisms that produce organic matter through excrement, were tested in an aquaponics environment. Through 2D and 3D image analysis of lettuce and real-time data analysis, the growth degree was evaluated using the area and volume information of lettuce. The results of the experiment proved that it is possible to manage cultivation by utilizing the area and volume information of lettuce. It is expected that it will be possible to provide production prediction services to farmers by utilizing aquatic life and growth information. It will also be a starting point for solving problems in the changing agricultural environment.

• Journal of the Korean Society of Food Culture
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• v.22 no.6
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• pp.765-774
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• 2007

Aging rate of rural area in our country is relatively high compared to that of the urban area. Thus, the introduction of meal service for the elderly residing in the rural area is necessary for their better living quality. Food habit, health and the nutritive intake conditions during the busy farming season were surveyed and comparative analysis of dietary intake for the introduction of meal service in pavilion of the elderly living in Chungnam, Kangwon, Jeonnam and Kyungbuk was performed for basic reference data of meal service introduction to the pavilion of the elderly in rural area. In general subject, the male elderly had a significant difference in marital state and showed that 79.4% was married and 20% was separated by death(P<0.05). In allowance, there were no significant difference but most of them lived with less then three hundred thousand won and especially, female lived with less then one hundred thousand won. In health state, the female elderly showed significant difference on difficulty with every day activity but with small trouble although they had to prepare their own meal(P<0.05). The condition dental health conditions of the female elderly had a significant difference showing bad conditions in following order; Kangwon(48%)>Chungnam(38.1%)>Kyungbuk(22.9%)>Jeonnam(22.5%)(p<0.05). The female elderly showed a significant difference in usage of denture and number of the female elderly without using the denture were very high(p<0.05). In nutrition intake condition, amount of sodium was very high but intakes of fiber and calcium were relatively 1ow(P<0.05). Meal service introduction in the pavilion of the elderly is suggested for the improvement of the life quality of the elderly in rural area. When developing the menu for them, conditions such as shortage of the fiber and calcium in diets, the dental conditions should be considered.

• Animal Bioscience
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• v.35 no.9
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• pp.1340-1350
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• 2022

Objective: Luxi Black Head sheep (LBH) is the first crossbreed specialized for meat production and was developed by crossbreeding Black Head Dorper sheep (DP) and Small Tailed Han sheep (STH) in the farming areas of northern China. Research on the genomic variations and selection signatures of LBH caused by continuous artificial selection is of great significance for identifying the genetic mechanisms of important traits of sheep and for the continuous breeding of LBH. Methods: We explored the genetic relationships of LBH, DP, and several Mongolian sheep breeds by constructing phylogenetic tree, principal component analysis and linkage disequilibrium analysis. In addition, we analysed 29 whole genomes of sheep. The genome-wide selection signatures have been scanned with four methods: heterozygosity (H_P), fixation index (F_ST), cross-population extended haplotype homozygosity (XP-EHH) and the nucleotide diversity (𝜃_π) ratio. Results: The genetic relationships analysis showed that LBH appeared to be an independent cluster closer to DP. The candidate signatures of positive selection in sheep genome revealed candidate genes for developmental process (HoxA gene cluster, BCL2L11, TSHR), immunity (CXCL6, CXCL1, SKAP2, PTK6, MST1R), growth (PDGFD, FGF18, SRF, SOCS2), and reproduction (BCAS3, TRIM24, ASTL, FNDC3A). Moreover, two signalling pathways closely related to reproduction, the thyroid hormone signalling pathway and the oxytocin signalling pathway, were detected. Conclusion: The selective sweep analysis of LBH genome revealed candidate genes and signalling pathways associated with developmental process, immunity, growth, and reproduction. Our findings provide a valuable resource for sheep breeding and insight into the mechanisms of artificial selection.

• Journal of Practical Agriculture & Fisheries Research
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• v.20 no.2
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• pp.49-56
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• 2018

Recently, attempts have been made by dairy farms to shorten the time until the first estrus by feeding animals a high-energy diet during the heifer period. Energy consumption during the heifer period has been shown to be related to milk yield and reproductive performance. The present study was conducted to analyze the relationship between reproductive performance and energy intake in heifers. There were no differences in height or body weight between animals that were fed the Korean standard diet versus a high energy diet (110% of the Korean standard). However, there was a difference in the timing of the first estrus: 329.3 days under normal energy conditions versus 311 days under high energy conditions. There was no difference in the number of artificial insemination per gestation, but both the rate of female calf production and the weight of individual female calves increased in response to the high energy diet. Based on these results, it may be predicted that the reproductive performance of dairy cows will increase when the animals are fed a high energy diet (110% of the Korean standard). These results demonstrate a correlation between the amount of energy consumed and reproductive performance, and will be of great value to the dairy farming industry.

• Journal of Animal Science and Technology
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• v.65 no.6
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• pp.1124-1150
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• 2023

This study aimed to analyze the leading research materials and research trends related to livestock food in Asia in recent years and propose future research agendas to ultimately contribute to the development of related livestock species. On analyzing more than 200 relevant articles, a high frequency of studies on livestock species and products with large breeding scales and vast markets was observed. Asia possesses the largest pig population and most extensive pork market, followed by that of beef, chicken, and milk; moreover, blood and egg markets have also been studied. Regarding research keywords, "meat quality" and "probiotics" were the most common, followed by "antioxidants", which have been extensively studied in the past, and "cultured meat", which has recently gained traction. The future research agenda for meat products is expected to be dominated by alternative livestock products, such as cultured and plant-derived meats; improved meat product functionality and safety; the environmental impacts of livestock farming; and animal welfare research. The future research agenda for dairy products is anticipated to include animal welfare, dairy production, probiotic-based development of high-quality functional dairy products, the development of alternative dairy products, and the advancement of lactose-free or personalized dairy products. However, determining the extent to which the various research articles' findings have been applied in real-world industry proved challenging, and research related to animal food laws and policies and consumer surveys was lacking. In addition, studies on alternatives for sustainable livestock development could not be identified. Therefore, future research may augment industrial application, and multidisciplinary research related to animal food laws and policies as well as eco-friendly livestock production should be strengthened.

• Korean Journal of Remote Sensing
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• v.39 no.6_1
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• pp.1467-1475
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• 2023

The public-interest direct payment program involves providing direct payments to agricultural producers and rural residents through public funds, premised on performing public functions such as environmental conservation, stable food supply, and maintaining rural communities via agricultural activities. Scientific estimation of crop cultivation areas and production levels is crucial for formulating agricultural policies linked to regulating food supply, which increasingly impacts the national economy. Conducting comprehensive on-site inspections for compliance monitoring of direct payment programs has shown very low efficiency in relation to budget and time. The expansion of areas subject to compliance monitoring and various challenges in on-site inspections necessitate streamlining current monitoring methods and devising effective strategies. As a solution, the application of Remote Sensing technology and spatial information utilization, allowing swift acquisition of necessary information for policies without overall on-site visits, is being discussed as an efficient compliance monitoring method. Therefore, this study evaluated the potential use of remote sensing for improving operational efficiency in monitoring compliance with public-interest direct payment programs. Using satellite images during farming seasons in Gimje and Hapcheon, vegetation indices and spatial variations were utilized to identify cultivated areas, presence of mixed crops, validated against on-site inspection data.