• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.7
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• pp.1246-1252
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• 2006

Recently, customers interest increase in the agricultural product safety when receiving the many information about food problem due to the development of media. Such amid, domestic agricultural environment don't have a system that safety certification of agricultural product. At this rate, domestic agricultural products will decrease the competitive power and apprehend by the giving a market to foreign agricultural product. In this paper, we designed and implementation of AIGT system for the improvement of agricultural environment to producing the agricultural product safety and customers' reliability increase to offering clear information. Also, we defined the right data structure for agricultural environment. The monitoring and video conference are imported for efficient improvement of environment.

• Journal of Microbiology and Biotechnology
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• v.29 no.1
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• pp.160-170
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• 2019

The lactic acid bacteria species Lactobacillus plantarum (L. plantarum) has been used extensively for vaccine delivery. Considering to the critical role of dendritic cells in stimulating host immune response, in this study, we constructed a novel CD11c-targeting L. plantarum strain with surface-displayed variable fragments of anti-CD11c, single-chain antibody (scFv-CD11c). The newly designed L. plantarum strain, named 409-aCD11c, could adhere and invade more efficiently to bone marrow-derived DCs (BMDCs) in vitro due to the specific interaction between scFv-CD11c and CD11c located on the surface of BMDCs. After incubation with BMDCs, the 409-aCD11c strain harboring a eukaryotic vector pValac-GFP could lead to more efficient expression of GFP compared with wild-type strains shown by flow cytometry analysis, indicating the enhanced translocation of pValac-GFP from L. plantarum to BMDCs. Similar results were also observed in an in vivo study, which showed that oral administration resulted in efficient expression of GFP in both Peyer's patches (PP) and mesenteric lymph nodes (MLNs) within 7 days after the last administration. In addition, the CD11c-targeting strain significantly promoted the differentiation and maturation of DCs, the differentiation of $IL-4^+$ and $IL-17A^+$ T helper (Th) cells in MLNs, as well as production of $B220^+$ $IgA^+$ B cells in the PP. In conclusion, this study developed a novel DC-targeting L. plantarum strain which could increase the ability to deliver eukaryotic expression plasmid to host cells, indicating a promising approach for vaccine study.

• Asian-Australasian Journal of Animal Sciences
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• v.31 no.5
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• pp.696-704
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• 2018

Objective: This study was conducted to evaluate various levels of milk by-product in weaning pig diet on growth performance, blood profiles, carcass characteristics and economic performance for weaning to finishing pigs. Methods: A total of 160 weaning pigs ([Yorkshire${\times}$Landrace]${\times}$Duroc), average $7.01{\pm}1.32kg$ body weight (BW), were allotted to four treatments by BW and sex in 10 replications with 4 pigs per pen in a randomized complete block design. Pigs were fed each treatment diet with various levels of milk by-product (Phase 1: 0%, 10%, 20%, and 30%, Phase 2: 0%, 5%, 10%, and 15%, respectively). During weaning period (0 to 5 week), weaning pigs were fed experimental diets and all pigs were fed the same commercial feed during growing-finishing period (6 to 14 week). Results: In the growth trial, BW, average daily gain (ADG), and average daily feed intake (ADFI) in the nursery period (5 weeks) increased as the milk by-product level in the diet increased (linear, p<0.05). Linear increases of pig BW with increasing the milk product levels were observed until late growing period (linear, p = 0.01). However, there were no significant differences in BW at the finishing periods, ADG, ADFI, and gain:feed ratio during the entire growing-finishing periods. The blood urea nitrogen concentration had no significant difference among dietary treatments. High inclusion level of milk by-product in weaner diet decreased crude protein (quadratic, p = 0.05) and crude ash (Linear, p = 0.05) of Longissimus muscle. In addition, cooking loss and water holding capacity increased with increasing milk product levels in the weaner diets (linear, p<0.01; p = 0.05). High milk by-product treatment had higher feed cost per weight gain compared to non-milk by-products treatment (linear, p = 0.01). Conclusion: Supplementation of 10% to 5% milk by-products in weaning pig diet had results equivalent to the 30% to 15% milk treatment and 0% milk by-product supplementation in the diet had no negative influence on growth performance of finishing pigs.

• Korean Journal of Organic Agriculture
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• v.29 no.3
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• pp.301-315
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• 2021

This study investigated the effect of the level of ethics in food manufacturing of agricultural products processing companies on food safety and product trust. In general, a company's food manufacturing ethics is complex, includes social responsibility, and has a potential impact on stakeholders. The main implications summarized based on the analysis results are the expansion of the HACCP application of the agricultural product processing system, the production of safe agri-food that fulfills social responsibilities with an ethical awareness, including entrepreneurial awareness, from raw materials to processing, packaging, and distribution from a long-term perspective. It was found that it was necessary to secure product trust and to provide education, consulting and management on ethical awareness.

• Journal of Korean Society of Rural Planning
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• v.22 no.3
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• pp.107-118
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• 2016

In order to ensure revenue of agricultural products which have encountered the dramatic decline of prices in distribution, the export of the domestic farm produce was started and it has been considered to play the significant role to make fundamentals for securing the stable revenue of farms and future of agricultural industries. The Korean government has endeavored to increase scale and volume of export and make the stable structure for export transaction by supporting government policies. Since the export of the agricultural products was influenced by multiple and uncertain factors such as the gap of GDP, distance, the difference of climatess between countries, in this study of agricultural exports, the attributes of export according to changed factors are derived by using RCA and gravity model. As the complexity of export environment has been increased compared to the past, it is necessary to analyze the attributes of agricultural exports. In this study, by using network theory, trade network of agricultural product, the periodic changes of relations, the changes of centrality and maxium flow are derived. Even though the trade quantity of existing agricultural fresh products are still small, the study derived the need to vertical integration for expanding agricultural product export by applying network theory.

• Journal of The Korean Society of Agricultural Engineers
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• v.54 no.2
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• pp.7-14
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• 2012

To analyze any given situation, it is necessary to have information on elements which affect the situation. Particularly, there is greater variability in both frequency and magnitude of agricultural product prices as they are affected by various unpredictable factors such as weather conditions etc. This is the reason why it is difficult for the farmers to maintain their stable income through agricultural production and marketing. In this research, attempts are made to quantify the entropy of various situations inherent in the price changes so that the stability of farmers' income can be increased. Through this research, we developed an entropy model which can quantify the uncertainties of price changes using the probability distribution of price changes. The model was tested for its significance by comparing its simulation outcomes with actual ranges and standard deviations of price variations of the past using monthly agricultural product prices data. We confirmed that the simulation results reflected the features of the ranges and standard deviations of actual price variations. Also, it is possible for us to predict standard deviations for changed prices which will occur after a certain time using the information entropy obtained from relevant agricultural product price data before the time.

• Journal of Advanced Technology Convergence
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• v.3 no.2
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• pp.17-23
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• 2024

In this paper, we analyzed the impact of temperature and precipitation on agricultural product prices and predicted the prices of major agricultural products using TensorFlow. As a result of the analysis, the rise in temperature and precipitation had a significant effect on the rise in prices of cabbage, radish, green onion, lettuce, and onion. In particular, prices rose sharply when temperature and precipitation increased simultaneously. The prediction model was useful in predicting agricultural product price changes due to climate change. Through this, agricultural producers and consumers can prepare for climate change and prepare response strategies to price fluctuations. The paper can contribute to understanding the impact of climate change on agricultural product prices and exploring ways to increase the stability and sustainability of agricultural product markets. In addition, it provides important data to increase agricultural sustainability and ensure economic stability in the era of climate change. The research results will also provide useful insights to policy makers and can contribute to establishing effective agricultural policies in response to climate change.

• Journal of Korean Society of Rural Planning
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• v.18 no.4
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• pp.141-152
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• 2012

Recently the package design for agricultural product of farm stay is great interests for increasing the income of farmers and villages as it may fulfill the sensible needs of consumers who experience rural culture and farm stay. This paper presents the status of the package design for agricultural product of farm stay and proposed improvements to the package design as following; 1)to diversify the packaging capacity, 2)to develop the cultural products to applicate the traditional crafts technique, 3)to provide institutional strategies for presenting the identity of farm or village, 4)to develop the education program about package design. We sampled fifty pilot farms or villages, analyse the package design of them and questionnaire surveyed farmers and managers in order to find problems and suggest improvements.

• Journal of Distribution Science
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• v.21 no.9
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• pp.35-42
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• 2023

Purpose: The research aims at examining the impact of marketer capabilities and persistence on marketer performance and distribution of agricultural product facilities. Research design, data, and methodology: The research employs quantitative methods using a cross-sectional design survey by analyzing the marketer of agricultural production facilities. Sampling was done using the purposive sampling technique and data were taken from 235 respondents. The data were then processed using SEM-PLS. Results: The findings reveal that both marketer capabilities and marketer persistence significantly impact the performance of agricultural product facility marketers. Notably, marketer persistence exerts a more dominant influence on marketer performance than marketer capabilities. Effective communication and coordination between the sales team and the distribution center emerge as crucial factors determining the success of distributing agricultural equipment to reach farmers' land at the optimal time. Conclusions: The findings offer valuable managerial insights for agricultural product facility companies seeking to enhance marketer performance. To achieve this, companies should focus on increasing marketer persistence, with an emphasis on nurture-focused persistence rather than closure-focused persistence. Additionally, improving marketer capabilities is crucial, starting with relationship development, followed by trust building, customer retention, responsiveness, and acquisition. These strategies can collectively contribute to boosting marketer performance within the organization.

• Korea Trade Review
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• v.47 no.5
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• pp.39-57
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• 2022

This study aims to analyze the factors influencing exports of agricultural products(HS01~HS24) from China to Korea by estimating the gravity model with panel data from 31 provinces in China. The results of the empirical analysis from the panel Tobit model are as follows: The effects of GDP and GDP per capita on agricultural exports are reversed, but their impacts are different on exports of each product, notably HS03, HS07 and HS20. As expected, distance decreases Chinese agricultural exports, and the impact of the relative exchange rate variable is also statistically significant, although it differs from product to product. However, differences in latitude, which considers the heterogeneity of climate and agricultural production conditions between Korea and each Chinese region, does not seem to affect agricultural exports to Korea. The road length, which affects the logistical conditions of each province in China, is not statistically significant either. On the other hand, increases in the number of Chinese visitors to Korea raises the amount of Chinese agricultural exports, including exports of HS03 and HS20. The results also shows that after the Korea-China FTA agreements, agricultural exports have actually decreased, especially exports of non-processed agricultural products, such as HS07.