• Korean Journal of Organic Agriculture
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• v.2 no.1
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• pp.2-15
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• 1993

Major vegetables and fruits in Korea are grouped in 3 Categories according to the Concentration of NO3- content in edible parts of the plant. NO3- content are high in order fruit

• Korean Journal of Agricultural Science
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• v.35 no.2
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• pp.199-212
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• 2008

Mycelial expansion and fruit body development of caterpillar fungi, Cordyceps sobolifera(Hill.) Berk. et Br. was examined on various carbon and nitrogen sources, some substrates with various supplements. Best temperature for the mycelial expansion was $25^{\circ}C$, while optimal pH was 7. Glucose and polypeptone were the best sources of carbon and nitrogen, respectively, as well as 1:1 was the best ratio of carbon and nitrogen. The unpolish rice and bean curd lees were used as core substrates combined individually with five various supplements. In substrates based, all the supplements with all combinations were found to exhibit the mycelial growth and fruit body formation. Likewise, yolk was found as a superior supplement and also clarified quite high polysaccharide content in the fruit body.

• Current Research on Agriculture and Life Sciences
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• v.9
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• pp.71-86
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• 1991

This study has tried to illuminate a shocking phenomenon, the import liberalization of agricultural products in the aspect of Consumer consciousness. It has been applied that Table Analysis by using computer programming for instance-MINITAB, and Correlation Analysis and Multiple Regression Analysis, things like that. The results of this study are as follows; 1. Comparing domestic and imported stuffs, Comsumers came to awareness that domestic products superior to foreign's in the cases of the degree of freshness, taste and pollution damage, in the meanwhile, inferior to the cases of price and wrapping. Food self-supplyment is considered as one of the most important things of all, moreover, by most comsumers and health food and conventional food are favored by high class people. 2. Bying imported stuffs could clearly be fatal blow to our agriculture is fully recognized among consumers, what is more, there would only be doomed to our agriculture, too. 3. The most mass-purchasing imported stuffs by consumers illustrates in order; Beef, Banana, Coffee and Tabacco etc. The most significant elements why consumers buy foreign product is that the prices of them are relatively lower than those of ours. Besides, the next causes lies to non-producing stuffs and curiosity. 4. It must've been generally conceived by most consumers that Open-the-market-policy has been progressed for USA's repression and our monopolistic capital. Therefore, they demand that our market should be contained against unadviciable wave, moreover, keep paying attention to the policy how it will work to protect Korean agriculture. 5. Consumer attitude toward buying imported agricultural products is double-faced, Never-buy occupied only 24.4 % among respondents, but overwhelming respondents say non-producing stuffs can be obtained selectively. In this case, however, never-buy-movement would be backed by consumers in proportion to their educational background. 6. Various consumer minds surrounding Open-the-market-situation, in the end, has been analized econometrics through eleven variables to approach accurate fulfillments.

• Asian-Australasian Journal of Animal Sciences
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• v.26 no.9
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• pp.1347-1358
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• 2013

Membrane technology has revolutionized the dairy sector. Different types of membranes are used in the industry for various purposes like extending the shelf life of milk without exposure to heat treatment, standardization of the major components of milk for tailoring new products as well increasing yield and quality of the dairy products, and concentrating, fractionation and purification of milk components especially valuable milk proteins in their natural state. In the cheese industry, membranes increase the yield and quality of cheese and control the whey volume, by concentrating the cheese milk. With the advancement of newer technology in membrane processes, it is possible to recover growth factor from whey. With the introduction of superior quality membranes as well as newer technology, the major limitation of membranes, fouling or blockage has been overcome to a greater extent.

• Journal of the Korean Society of Industry Convergence
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• v.8 no.1
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• pp.47-55
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• 2005

Infrared heating has been traditionally used in industrial applications for processes such as dehydration of food industrial. This heating method involves the application of radiation in the wavelength range of 2 to 50 micrometers. In this work, simultaneous heat balance equations were developed to simulate the infrared radiation heating of agricultural products. The equations assume that moisture diffuses to the outer boundaries of the material in liquid form and evaporation occurs at the surface of the agricultural products. Energy for moisture evaporation is supplied by the infrared radiant energy. The optimum temperature and drying time for the best drying conditions of changing the red peppers with the moisture content of 18% and the restore rate of 80~85% are $80^{\circ}C$ and 44 hours. The performance of radiation tubes coating with the radiation paint developed in this research has the energy of $2.27{\times}103W/m^2{\mu}m$, $150^{\circ}C$ within the scope of radiation wave length of $2{\sim}30{\mu}m$ and has the radiation 0.92~0.93, which is superior to the general radiation tubes. The extinction coefficient according to the band pass filter using the 4 flux theory ha higher dependability on wave length, accounting for $2{\sim}17{\mu}m$ and $5{\times}105{\sim}106m-1$. A comparison between the theoretical energy transfer whose figures are interpreted according to 4 flux theory and the experimental energy transfer of far infrared dryer leads to the findings of the agreement less than 5%.

• Korean Journal of Agricultural Science
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• v.43 no.4
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• pp.581-588
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• 2016

The objective of this study was to investigate the accuracy of visual discrimination of soft fat pork carcasses when subjecting carcasses to quality grade evaluations. In addition, the quality of the longissimus dorsi muscle from soft fat carcasses was investigated. Iodine values of back fat from soft fat carcasses evaluated by visual discrimination were significantly higher than those from firm fat carcass (p < 0.05). However, those values were lower than the standard for soft fat (iodine value = 70). There were no significant differences in linoleic acid content, b-values, and L-values (p < 0.05) of back fat between firm and soft fat carcasses evaluated by visual discrimination. Color of longissimus dorsi muscle from soft fat carcasses (iodine value higher than 70) was not different from that of firm fat carcass (iodine value lower than 70). Except for linoleic acid, there were no significant differences in any fatty acid contents between longissimus dorsi muscles from firm fat and soft fat carcasses. Monounsaturated fatty acid content of longissimus dorsi muscles from soft fat carcasses was significantly lower than those of firm fat carcass (p < 0.05). However polyunsaturated fatty acid content was significantly higher (p < 0.05) in longissimus dorsi muscles from soft fat carcasses. In conclusion, visual discrimination results for soft fat pork carcass were inaccurate. Therefore, other indicators should be required to evaluate soft fat pork carcasses. In contrast, the quality of longissimus dorsi muscle from soft fat carcasses was superior in terms of fatty acid composition compared with that of firm fat carcasses.

• Journal of the Korea Society of Computer and Information
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• v.27 no.5
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• pp.29-36
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• 2022

In this paper, we propose an efficient agricultural products price prediction model based on dataset which provided in DACON. This model is XGBoost and CatBoost, and as an algorithm of the Gradient Boosting series, the average accuracy and execution time are superior to the existing Logistic Regression and Random Forest. Based on these advantages, we design a machine learning model that predicts prices 1 week, 2 weeks, and 4 weeks from the previous prices of agricultural products. The XGBoost model can derive the best performance by adjusting hyperparameters using the XGBoost Regressor library, which is a regression model. The implemented model is verified using the API provided by DACON, and performance evaluation is performed for each model. Because XGBoost conducts its own overfitting regulation, it derives excellent performance despite a small dataset, but it was found that the performance was lower than LGBM in terms of temporal performance such as learning time and prediction time.

• International Journal of Industrial Entomology and Biomaterials
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• v.44 no.2
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• pp.65-71
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• 2022

The wild silkmoth Antheraea yamamai Guérin-Méneville, 1861 (Lepidoptera: Saturniidae) is an important producer of silk that is superior to the silk produced by traditional domesticated silkworm. In this study, we sequenced the complete mitochondrial genome (mitogenome) of An. yamamai collected from Jeju Island, which is the southernmost island approximately 100 km offshore southward from the Korean Peninsula. Determining this sequence will be necessary for tracing the biogeographic history of the species and developing molecular markers for identifying the origin of commercial products. Comparison of the sequence divergence among two available and the current mitogenomes revealed a low but substantial number of substitutions, totaling 23 nucleotides in the whole genome. CytB and ND5 showed the highest variability with five and four variations, respectively, suggesting that these regions will be prior regions to target for subsequent biogeographic and diagnosis study. Phylogenetic reconstruction based on all available sequences of Saturniidae showed that An. yamamai is a sister to the congeneric species An. pernyi, corroborating that Antheraea is a highly supported monophyletic group. The tribe Saturniini was clearly non-monophyletic and interrupted by Attacini and Bunaeini.

• Journal of the Korea Society of Computer and Information
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• v.28 no.2
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• pp.201-207
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• 2023

In this paper, we propose an optimal model for mid to long-term price prediction of agricultural products using LGBM, MLP, LSTM, and GRU to compare and analyze the three strategies of the Multi-Step Time Series. The proposed model is designed to find the optimal combination between the models by selecting methods from various angles. Prior agricultural product price prediction studies have mainly adopted traditional econometric models such as ARIMA and LSTM-type models. In contrast, agricultural product price prediction studies related to Multi-Step Time Series were minimal. In this study, the experiment was conducted by dividing it into two periods according to the degree of volatility of agricultural product prices. As a result of the mid-to-long-term price prediction of three strategies, namely direct, hybrid, and multiple outputs, the hybrid approach showed relatively superior performance. This study academically and practically contributes to mid-to-long term daily price prediction by proposing an effective alternative.

• Korean Journal of Organic Agriculture
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• v.20 no.4
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• pp.491-502
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• 2012

The world's food production systems are becoming an area of great concern for both human and ecological health. Research has identified that one of the greatest threats to sustainability is conventional industrial agricultural systems and the high energy and material cost they require to function. The organic food movement is contributing as promising alternative to the current dominant model. Over the last 50 years it has developed into the most visible brand for a healthier and more environmentally sustainable food system. However, to achieve its full potential there are still a number of hurdles which must be overcome to make organic products a more viable and appealing option for consumers. This paper provides an overview of key research that has been conducted on why consumers are buying organic products, what they are buying and what is preventing them from purchasing more. It concludes that the key challenge is for the organic food movement to convince existing consumers of the superior 'value' of its products. In addition there are a number of methodological issues associated with analysing the market for organic products as well as issues of limited distribution, intermittent availability and high prices that are currently preventing increases in sales. Recognition and management of these barriers could contribute to more effective targeted research into consumer food purchasing motivations and subsequently the development of more sophisticated marketing strategies that assist in maintaining integrity with consumers and fending off challenges from conventional as well as other complementary food systems such as local food movement. And finally to achieve these market growth strategies the organic food movement will need to cope with its diverse constituency - ranging from global corporates through to local production and consumption - and provide attractive opportunities to individuals and business at all stages in supply chain whilst retaining credibility with government to ensure ongoing policy support.