• Korean Journal of Environmental Agriculture
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• v.21 no.4
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• pp.279-285
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• 2002

Pesticide residues in some fruits collected at Noeun wholesale market, Daejeon were surveyed and assessed its risk. In 120 samples, the detection rate of pesticide was 70.8% and the rate exceed MRL was 1.67%. Highly detection rate of commodities was apple, peach and grape. Organophosphorus, organochlorine and pyrethroid insecticide were found with similar rate relatively, but most of fungicides were procymidone(dicarboximides) and chlorothalonil(organochlorine). The order of detected pesticide were chlorothalonil, chlorpyrifos, fenvalerate, procymidone, deltamethrin and EPN. In order to assess risk estimated intake amount of each pesticide was compared to ADI. Although some peach were exceed MRL the total amount and uptake pesticides was less than 1.22% comparing to ADI.

• Korean Journal of Environmental Agriculture
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• v.25 no.2
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• pp.180-189
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• 2006

This survey was done to investigate the pesticide residues on agricultural products on the markets in Incheon area from 2003 to 2005. A total of 10,431 samples was analyzed the residues by GC. The violation rates of the samples over maximum residue limits (MRLs) of pesticide residues established by Korean Food and Drug Administration (KFDA) in the survey of 2003, 2004 and 2005 were 1.3%, 0.9%, and 1.2%, respectively. The rate from the samples of 2005 surveyed in general wholesale markets was 3.1%, whereas that from agricultural wholesale market was 0.93%. Of the total violated samples, more than 70% of the rates were recorded from the samples of Gyeonggi-do and Incheon area in 2003 and 2004. However, the rates from Gyeonggi-do and Incheon in 2005 were remarkably reduced to 25.6% and 23.3%, respectively. Most commonly encountered agricultural commodity over MRLs was crown daisy. Positively detected pesticides were 12, 17 and 32 in the survey of 2003, 2004 and 2005, respectively. The pesticides detected yearly over MRLs during three years were chlorothalonil, chlorpyrifos, diazinon, endosulfan, procymidone. Decreasing tendency in detected and violated rates of the residues was observed in chlorpyrifos and diazinon, while increasing tendency in detected rates was recorded in chlorothalonil, endosulfan, procymidone.

• The Korean Journal of Pesticide Science
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• v.10 no.1
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• pp.15-21
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• 2006

In order to monitor the pesticide residues in/on peppers and pepper powder and to assess their risk, pesticides in/on green pepper from 10 farmgates and fresh red pepper from 9 farmgates in Chungbuk area and pepper powder from 6 wholesale markets in Cheongju city were analyzed with a GLC and an HPLC. Also, pepper powder made by pulverization of the dried red pepper was analyzed to elucidate the change of pesticide residues in fresh red pepper by oven-drying. The number of pesticides detected from peen pepper, fresh red pepper, dried red pepper and pepper powder were 9, 12, 12, and 17, respectively, including 10 pesticides (one fungicide and nine insecticides) which were exceeded the maximum residue limits (MRLs). The exceeding rate of the MRL were higher in dried red pepper and pepper powder than in green pepper and fresh red pepper. Although some pesticides in peppers and pepper powder exceeded the MRLs, their estimated daily intake(EDI) were less than 1.6% of their acceptable daily intakes(ADIs), suggesting that it would be estimated to safe. By oven-drying of fresh red pepper at $65^{\circ}C$ for 72 hours, the weight of dried red pepper was from 1/5.9 from 1/7.8 of fresh red pepper, while the concentration of pesticide residue in dried red pepper increased from 1.7 to 8.2 times, suggesting that further reconsideration was required for the MRL of pepper powder.

• Journal of Intelligence and Information Systems
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• v.20 no.3
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• pp.93-108
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• 2014

To support business decision making, interests and efforts to analyze and use transaction data in different perspectives are increasing. Such efforts are not only limited to customer management or marketing, but also used for monitoring and detecting fraud transactions. Fraud transactions are evolving into various patterns by taking advantage of information technology. To reflect the evolution of fraud transactions, there are many efforts on fraud detection methods and advanced application systems in order to improve the accuracy and ease of fraud detection. As a case of fraud detection, this study aims to provide effective fraud detection methods for auction exception agricultural products in the largest Korean agricultural wholesale market. Auction exception products policy exists to complement auction-based trades in agricultural wholesale market. That is, most trades on agricultural products are performed by auction; however, specific products are assigned as auction exception products when total volumes of products are relatively small, the number of wholesalers is small, or there are difficulties for wholesalers to purchase the products. However, auction exception products policy makes several problems on fairness and transparency of transaction, which requires help of fraud detection. In this study, to generate fraud detection rules, real huge agricultural products trade transaction data from 2008 to 2010 in the market are analyzed, which increase more than 1 million transactions and 1 billion US dollar in transaction volume. Agricultural transaction data has unique characteristics such as frequent changes in supply volumes and turbulent time-dependent changes in price. Since this was the first trial to identify fraud transactions in this domain, there was no training data set for supervised learning. So, fraud detection rules are generated using outlier detection approach. We assume that outlier transactions have more possibility of fraud transactions than normal transactions. The outlier transactions are identified to compare daily average unit price, weekly average unit price, and quarterly average unit price of product items. Also quarterly averages unit price of product items of the specific wholesalers are used to identify outlier transactions. The reliability of generated fraud detection rules are confirmed by domain experts. To determine whether a transaction is fraudulent or not, normal distribution and normalized Z-value concept are applied. That is, a unit price of a transaction is transformed to Z-value to calculate the occurrence probability when we approximate the distribution of unit prices to normal distribution. The modified Z-value of the unit price in the transaction is used rather than using the original Z-value of it. The reason is that in the case of auction exception agricultural products, Z-values are influenced by outlier fraud transactions themselves because the number of wholesalers is small. The modified Z-values are called Self-Eliminated Z-scores because they are calculated excluding the unit price of the specific transaction which is subject to check whether it is fraud transaction or not. To show the usefulness of the proposed approach, a prototype of fraud transaction detection system is developed using Delphi. The system consists of five main menus and related submenus. First functionalities of the system is to import transaction databases. Next important functions are to set up fraud detection parameters. By changing fraud detection parameters, system users can control the number of potential fraud transactions. Execution functions provide fraud detection results which are found based on fraud detection parameters. The potential fraud transactions can be viewed on screen or exported as files. The study is an initial trial to identify fraud transactions in Auction Exception Agricultural Products. There are still many remained research topics of the issue. First, the scope of analysis data was limited due to the availability of data. It is necessary to include more data on transactions, wholesalers, and producers to detect fraud transactions more accurately. Next, we need to extend the scope of fraud transaction detection to fishery products. Also there are many possibilities to apply different data mining techniques for fraud detection. For example, time series approach is a potential technique to apply the problem. Even though outlier transactions are detected based on unit prices of transactions, however it is possible to derive fraud detection rules based on transaction volumes.

• The Journal of Fisheries Business Administration
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• v.41 no.3
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• pp.59-78
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• 2010

This paper tries to apply the asymmetrical price transmission(APT) behavior observed in the agricultural industry to supply chains of the domestic fishery industry by a statistical manner. The fore mentioned asymmetrical price transmission refers to when price movements in the later stage of the supply chain do not move in a normal or symmetrical manner corresponding to price movements in the earlier stage of the supply chain. Therefore, when the earlier stage price increase and the later stage price increases to a larger degree, it is called positive(+) asymmetry and the opposite behavior is called negative(-) asymmetry. The study examines the data from domestic producers of three fresh fish types, hairtail, mackerel, and cuttlefish, and tries to examine the price asymmetry between the producer or farm, wholesaler, and retail prices via an APT test utilizing unit root, cointegration, and error correction model. The study found, hairtail wholesale and retail pricing bas a negative asymmetric relationship while mackerel has a negative asymmetric pricing relationship at the producer and retail levels of the supply chain. In the case of cuttlefish, all levels of the supply chain showed negative asymmetrical behavior in the supply chain price transmission, meaning the earlier stage price changes are more rapidly and greatly inputted in the later stage of the supply chain pricing. We believe that the reason why the analysis results show negative price asymmetry is due to the uniqueness of fishery products having an important variable such as freshness. If price increases are greater and quicker than price decreases, then consumer demand, which is sensitive to price increases will decrease and subsequently result in the increase of inventory levels, reducing profits for retailers. Also, frozen hairtail, mackerel, and cuttlefish will act as substitute goods to fresh fishery products. Therefore, fresh fishery products have a high demand of price elasticity. When prices increase, demand quickly decreases. Therefore the profit of wholesalers and retailers to decrease, I think this is the main reason of APT in the supply chain of Korea' s fisheries industry.

• Journal of the Korea Society for Simulation
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• v.24 no.4
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• pp.163-170
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• 2015

This research is to focus on the method of moving line optimization in Agricultural Industry, especially Garak Wholesale Market Modernization Project, by using simulation tool. As everybody knew, it's very difficult to apply the SCM operation rules in Agricultural Industry, because the standardization system in Agricultural Industry was not completed. The five flow management factors, vehicle moving line management, customer moving line Management, Logistics Device Moving Line Management, Working Person Moving Line Management, Product display moving line management, are needed to be optimized on the basis of standardization rules, and to achieve this will be the good infrastructure to make the Agricultural SCM system. It's very different between the SCM structure of manufacturing industry and logistics industry and the SCM structure of Agricultural Industry, because the SCM in manufacturing is occur in the basis of flow management, on the contrary, the SCM of Agricultural Industry is on the basis of activity management. For these reason, this study is the first approach to apply the simulation method in the part of moving line optimization in Agricultural SCM, and in near future, This study will help all designers and operators to apply the simulation work in the part of agricultural SCM, and we hope that next advanced study will continue by using this study.

• The Korean Journal of Mycology
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• v.30 no.2
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• pp.166-169
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• 2002

A fruits soft rot caused by Rhizopus stolonifer found on citrus fruit in Jinjn City Agricultural Products Wholesale Market. The disease infection usually started from wounding. At first, the lesions started water soaked and rapidly softened and diseased lesion gradually expanded to other fruits in the same container. The mycelia grew vigorously on the surface of fruits and formed sporangia, sporangiophores and stolons. Sporangiophores were $900{\sim}4300{\mu}m$ in size. Sporangia were globose or subglobose and $98{\times}346{\mu}m$ in size. The color of sporangia was white at first and then turned black with many spores. Columella were globose or ellipsoid and $60{\sim}216{\times}72{\sim}143{\mu}m$ in size. Sporangiospores were globose or ellipsoid, brownish-black streaked and $8{\sim}18.3{\mu}m$ in diameter. Zygospores were globose, black and $98{\sim}176{\mu}m$ in size. The optimum temperature for mycelial growth of the fungus on PDA was $25^{\circ}C$. The causal fungus was identified as Rhizopus stolonifer. This is the first report of rhizopus soft rot on citrus fruit caused by R. stolonifer in Korea.

• Research in Plant Disease
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• v.14 no.2
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• pp.127-130
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• 2008

Rhizopus soft rot caused by Rhizopus stolonifer on June, 2008 occurred on Rubus crataegifolius Bunge in the box at Jinju City Wholesale Market of Agricultural Products at Gyeongnam province in Korea. The infected fruits were rapidly water-soaked, softened, black and eventually rotted. The symptoms occurred after infecting wounds at harvest time. The colony were white to light brown, formed much sporangiospores. The optimum temperature of the fungus on potato dextrose agar was $30^{\circ}C$. Sporangiophores were $12{\sim}25{\mu}m$ in width. Sporangia were globose or hemispheric, white at first and gradually to black, and $82{\sim}195{\mu}m$ in size. Columella were hemispheric, and $70{\sim}92{\mu}m$ in size. Sporangiospores were irregular round or oval, brownishblack and $9{\sim}21{\times}7{\sim}8{\mu}m$ in size. On the basis of symptom, mycological characteristics and pathogenicity of the fungus, the causal fungus was identified as Rhizopus stolonifer. This is the first report of Rhizopus soft rot by R. stolonifer on R. crataegifolius in Korea.

• The Korean Journal of Mycology
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• v.35 no.1
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• pp.54-57
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• 2007

Rhizopus soft rot caused by Rhizopus stolonifer occurred on banana (Musa sapientum) in the box at Jinju City Wholesale Market of Agricultural Products at Gyeongnam province in Korea. The infected fruits were rapidly water-soaked, softened, blackened and eventually rotted. They were infected from wounds at harvest time. The colony of the isolate from the infected fruit was white to light brown and formed many sporangiospores. The optimum growth temperature of the fungus on potato dextrose agar was $30^{\circ}C$. Sporangiophores were $12{\sim}26\;{\mu}m$ in width. Sporangia were globose or hemispheric, white at first and changed gradually to black, and $83{\sim}195\;{\mu}m$ in size. Columella were hemispheric, and $72{\sim}125\;{\mu}m$ in size. Sporangiospores were irregular round or oval, brownish-black and $9{\sim}20{\times}7{\sim}8\;{\mu}m$ in size. On the basis of symptom, mycological characteristics and pathogenicity to banana, the causal fungus was identified as Rhizopus stolonifer. This is the first report of Rhizopus soft rot by R. stolonifer on banana in Korea.

• The Korean Journal of Mycology
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• v.36 no.2
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• pp.199-202
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• 2008

Rhizopus soft rot caused by Rhizopus stolonifer occurred on melon (Cucumis melo L.) in the box at Jinju City Wholesale Market of Agricultural Products at Gyeongnam province in Korea. The infected fruits were rapidly water-soaked, softened, black and eventually rotted. The symptoms were infected from wounds at harvest time. The colony were white to light brown, formed much sporangiospores. The optimum temperature of the fungus was $30^{\circ}C$. Sporangia were globose or hemispheric, white at first and gradually to black, and $80{\sim}195\;{\mu}m$ in size. Sporangiophores were $12{\sim}24\;{\mu}m$ in width. Columella were hemispheric, and $70{\sim}90\;{\mu}m$ in size. Sporangiospores were irregular round or oval, brownish-black and $9{\sim}20\;{\times}\;6{\sim}8\;{\mu}m$ in size. On the basis of symptom, mycological characteristics and pathogenicity to melon, the causal fungus was identified as Rhizopus stolonifer (Ehrenb.) Vuill.. This is the first report of Rhizopus soft rot by R. stolonifer on melon in Korea.