• Food Science and Preservation
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• v.3 no.1
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• pp.61-75
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• 1996

Apple is most favorable fruit in Korea, and apple farmland has been increased before and after the agreements of Uruguay Round and apple is considered as one of strategic agricultural products. Especially expansion of apple farmland is concentrated in Kyungpook region because of the suitable climate and its market share is about 70 percents in 1992. The marketing channels of apples of Kyungpook region are widely classified by merchant, agricultural or horticultural co-op and large scale farmer's. Among them market share of merchant's occupy over 65 percent. In marketing margins, commercial profit is higher than cost in total marketing margins and, assembler and retailer's margin is not less than wholesaler's. The fluctuation of the price of apple is high in year. The marketing problems of apples are several, first, complex marketing channels, secondly, the high percentage of market share by growing district assembler, thirdly, low rate of package and quality standardization, finally, concentration of shipment of apple because of the shortage of apple processing, storage and marketing facilities, of newly produced apples. In conclusion, to increase apple grower's income with the stabilization of supply and quality upgrade, the improvement measures of marketing system are as follows, first, government level's support in marketing facilities and mechanism, secondly, the increment of supply by grower's cooperatives, thirdly, the establishment of a serious of marketing system to increase the efficiency, fourthly, the establishment of cold-chain system and quality standardization of apple, finally, production of various kinds of apple processing goods.

• Journal of Korea Multimedia Society
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• v.25 no.6
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• pp.769-782
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• 2022

A study on agricultural automation became more important. In Korea, sweet persimmon farmers spend a lot of time and effort on classifying profitable persimmons. In this paper, we propose and implement an efficient grading algorithm for persimmons before shipment. We gathered more than 1,750 images of persimmons, and the images were graded and labeled for classifications purpose. Our main algorithm is based on EfficientDet object detection model but we implemented more exquisite method for better classification performance. In order to improve the precision of classification, we adopted a machine learning algorithm, which was proposed by PyCaret machine learning workflow generation library. Finally we acquired an improved classification model with the accuracy score of 81%.

• Korean Journal of Agricultural Science
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• v.49 no.1
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• pp.61-75
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• 2022

The first purpose of this study is to evaluate the usefulness of pork traceability data, which is monthly time-series data, and to draw implications with regard to its usefulness. The second purpose is to construct a dynamic ecological equation model (DEEM) that reflects the biological characteristics at each growth stage, such as pregnancy, birth and growth, and the slaughter of pigs, using traceability data. With the monthly pig model devised in this study, it is expected that the number of slaughtered animals (supply) that can be shipped in the future is predictable and that policy simulations are possible. However, this study was limited to traceability data and focused only on building a supply-side model. As a result of verifying the traceability data, it was found that approximately 6% of farms produce by mixing great grand parent (GGP), grand parent (GP), parent stock (PS), and artificial insemination (AI), meaning that it is necessary to separate them by business type. However, the analysis also showed that the coefficient values estimated by constructing an equation for each growth stage were consistent with the pig growth outcomes. Also, the model predictive power test was excellent. For this reason, it is judged that the model design and traceability data constructed with the cohort and the dynamic ecological equation model system considering biological growth and shipment times are excellent. Finally, the model constructed in this study is expected to be used as basic data to inform producers in their decision-making activities and to help with governmental policy directions with regard to supply and demand. Research on the demand side is left for future researchers.

• Korean Journal of Agricultural Science
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• v.33 no.2
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• pp.179-193
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• 2006

Technical efficiency of semiforcing watermelon growers is 0.8248 on average, and distributed between 0.6744 and 0.9268. The result showed that semiforcing watermelon growers had by 18% of technical inefficiency and could be assumed that increasing technical efficiency could induce watermelon production more increase. Consequently, if growers' technical efficiency were improved while other environments were constant, watermelon production could be increased. Following the results from the inefficiency effect model, all assumption coefficient such as growers age etc, are significant at 10% level. Estimate of dispersion parameter ${\gamma}$ is 0.89, which confirms those differences between practical output and frontier output were derived from the technical efficiencies among growers. Differences of production system between high and low level growers in production efficiency were showed at side altitude, ventilation and heat-retaining in section of facilities and automation, soil test and calcium application in section of environment management, transplant preparation and duration of pollination in section of crop management and shipment place, sorting degree and management record analysis in section of business management respectively. As a result of analyzing consulting data by using standard diagnosis table of watermelon cultivation under structure which cultivated on semi-forced watermelon growers, gap between high and low level growers was 7.0 points in facility automation section, 7.1 points in environment section, 8.8 points in crop management section and 13.6 points in business management section, respectively, which were the biggest one among them. In case of excluding information-related items from the evaluation index of business management section, changes of business achievement are to occur. Therefore, it is recommended for us to review the standard diagnostic table of watermelon cultivation under structure by dividing evaluation index of management section into management and information.

• Journal of Distribution Science
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• v.5 no.1
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• pp.57-73
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• 2007

There are more problems in distributing agricultural and special products than industrial products because they have such restrictions as seasonal fluctuation in the quantity, indeterminate and diverse shapes, many farm households, a small amount of shipment, and mandatory guide and maintenance. However, with social atmosphere called well-being, there are increasing concerns about inorganic agricultural products and direct trade with farmers. It is therefore urgent to stabilize the price of agricultural and special products and to correctly grasp and improve logistics activities for those dealing with agricultural and special products in order to supply fresh ones. This study aimed at examining logistics activities and the information technology level for agricultural and special products, determining how these factors affect logistics performance, and eventually suggesting a scheme to improve the logistics achievements for agricultural and special products. For this purpose, it selected information technology and logistics activity levels as independent variables and logistics performance as a dependent variable. The information technology level was measured for utility, holding level, and concern, respectively, and the logistics activity level was tested for the level of using the logistics information system in those companies concerned. From the above-mentioned findings, it is urgent to enhance distribution technology and its level immediately since distribution of agricultural and special products is poor in Korea and good distribution can contribute to a reduction of logistics costs or improvement of customer service.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.5
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• pp.331-344
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• 2009

Recently, it is expected that the agricultural and stockbreeding industry are damaged by the China-Japan-South Korea FTA and FTA between the United States and South Korea. After free trade, it is increasing to import crops, aquatic products, and livestock which are produced in a foreign land. But it is affected negatively to the trust relationships and markets, because of breaking it out that low grade foreign products are turned into domestic products. For this reason, we need the traceability management system. In this paper, it designs and implements the traceability management system using RFID and USN providing distribution traceability information as well as the traceability information of the growth environment, automatic control according to the facility growing and monitoring of the storehouse. The implemented whole systems consist of the growth environment monitoring and the traceability management. First, the growth environment monitoring shows the environment of plantation and automatic controller of the storehouse and growing facility. This growth environment monitoring information provides the detailed information about growth environment and writing the farming diary automatically by producer. Second, the traceability management provides all of the traceability information such as production, shipment and consumption to consumers. The traceability management system that has been designed and implemented using RFID and USN in this paper, provides the u-IT agriculture to producer and the reliability about agricultural products. In addition, this system provides the foundation data to operate GAP and HACCP, and becomes the advantaged agricultural products of the interior of a country by application of this system.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.24 no.1
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• pp.59-64
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• 2014

Objectives: The principal aim of this study is to investigate and analyze domestic usage amounts of insecticide in rice cultivation in order to provide fundamental data for establishing a job-exposure matrix(JEM) related to farmers working with agricultural insecticides. Materials and Methods: An investigation of domestic usage amounts of insecticides rice cultivation was performed through two methods. The first method utilized information on agricultural pesticides published annually by the Korea Crop Protection Association(KCPA). The second method made use of area of cultivation of rice as officially determined by Statistics Korea(SK). An estimation of domestic usage of insecticides in rice cultivation through the second method was determined by multiplying the total cultivation area of rice($m^2$) by the optimal spray volume of insecticides for rice cultivation per unit of cultivation area($kg/m^2$). Results: As a result of the analysis of public data regarding insecticides in rice cultivation, it was found that the domestic usage amount has decreased sharply from the first year of market sales(1969) to the final data year(2012). There is little difference in the annual usage trend of insecticides in rice cultivation between shipment and estimation. Also, the annual usage trends of insecticides in rice cultivation based on regional classification were nearly similar to those based on the overall aspect. Conclusions: The region which used the largest volume of insecticide in rice cultivation in Korea was the Jeolla Provinces, followed by the Gyeonsang Provinces, the Chungcheong Provinces, Seoul/Gyeonggi Province, Gangwon Province and Jeju Province. Substantially, the mean ratio of usage amounts of insecticide based on shipments and those based on estimation by cultivation area was $96{\pm}29%$, which indicates that the domestic usage amount of insecticide for rice cultivation corresponded to the optimal spray standard per unit area.

• Journal of Convergence for Information Technology
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• v.10 no.12
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• pp.201-207
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• 2020

In this study, the practicality of unmanned aerial vehicle photography information was identified. Therefore, a total of four consecutive surveys were conducted on the field-level survey areas among the areas subject to photography using unmanned aerial vehicles, and the changes in crop conditions were analyzed using pictures of unmanned aerial vehicles taken during each survey. It is appropriate to collect and utilize photographic information by directly taking pictures of the survey area according to the time of the on-site survey using unmanned aerial vehicles in the field layer, which is an area where many changes in topography, crop vegetation, and crop types are expected. And it turned out that it was appropriate to utilize satellite images in consideration of economic and efficient aspects in relatively unchanged rice paddies and facilities. If the survey area is well equipped with systems for crop cultivation, deep learning can be utilized in real time by utilizing libraries after obtaining photographic data for a certain area using unmanned aircraft in the future. Through this process, it is believed that it can be used to analyze the overall crop and shipment volume by identifying the crop status and surveying the quantity per unit area.