• Title/Summary/Keyword: Food recognition

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A Detailed Review on Recognition of Plant Disease Using Intelligent Image Retrieval Techniques

  • Gulbir Singh;Kuldeep Kumar Yogi
    • International Journal of Computer Science & Network Security
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    • v.23 no.9
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    • pp.77-90
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    • 2023
  • Today, crops face many characteristics/diseases. Insect damage is one of the main characteristics/diseases. Insecticides are not always effective because they can be toxic to some birds. It will also disrupt the natural food chain for animals. A common practice of plant scientists is to visually assess plant damage (leaves, stems) due to disease based on the percentage of disease. Plants suffer from various diseases at any stage of their development. For farmers and agricultural professionals, disease management is a critical issue that requires immediate attention. It requires urgent diagnosis and preventive measures to maintain quality and minimize losses. Many researchers have provided plant disease detection techniques to support rapid disease diagnosis. In this review paper, we mainly focus on artificial intelligence (AI) technology, image processing technology (IP), deep learning technology (DL), vector machine (SVM) technology, the network Convergent neuronal (CNN) content Detailed description of the identification of different types of diseases in tomato and potato plants based on image retrieval technology (CBIR). It also includes the various types of diseases that typically exist in tomato and potato. Content-based Image Retrieval (CBIR) technologies should be used as a supplementary tool to enhance search accuracy by encouraging you to access collections of extra knowledge so that it can be useful. CBIR systems mainly use colour, form, and texture as core features, such that they work on the first level of the lowest level. This is the most sophisticated methods used to diagnose diseases of tomato plants.

Development of Dog Name Recommendation System for the Image Abstraction (이미지 추상화 기법을 이용한 반려견 이름 추천 시스템 개발)

  • Jae-Heon Lee;Ye-Rin Jeong;Mi-Kyeong Moon;Seung-Min Park
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.2
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    • pp.313-320
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    • 2023
  • The cumulative registration status of dogs is from 1.07 million in 2016 to 2.32 million in 2020. Animal registration is increasing by more than 10% every year, and accordingly, a name must be decided when registering a dog. We want to give a name that fits the characteristics of a dog's appearance, but there are many difficulties in naming it. This paper explains the development of a system for recognizing dog images and recommends dog names based on similar objects or food. This system extracts similarities with dogs' images through models that learn images of various objects and foods, and recommends dog names based on similarities. In addition, by recommending additional related words based on the image data of the result value, it was possible to provide users with various options, increase convenience, and increase interest and fun. Through this system, it is expected that users will be able to solve their concerns about naming their dogs, check names that suit their dogs comfortably, and give them various options through various recommended names to increase satisfaction.

Sources, Components, Structure, Catalytic Mechanism and Applications: a Critical Review on Nicotinate Dehydrogenase

  • Zhi Chen;Xiangjing Xu;Xin Ju;Lishi Yan;Liangzhi Li;Lin Yang
    • Journal of Microbiology and Biotechnology
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    • v.33 no.6
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    • pp.707-714
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    • 2023
  • Plant-derived insecticide-neonicotinoid insecticides (NIs) played a crucial role in the development of agriculture and food industry in recent years. Nevertheless, synthesis of these nitrogen-containing heterocyclic compounds with an effective and greener routing remains challenging especially to the notion raise of "green chemistry" and "atom economy". While bio-catalyzed methods mediated by nicotinate dehydrogenase (NDHase) then provide an alternative. The current review mainly focuses on the introduction of sources, components, structure, catalytic mechanism and applications of NDHase. Specifically, NDHase is known as nicotinic acid hydroxylase and the sources principally derived from phylum Proteobacteria. In addition, NDHase requires the participation of the electron respiratory chain system on the cell membrane. And the most important components of the electron respiratory chain are hydrogen carrier, which is mainly composed of iron-sulfur proteins (Fe-S), flavin dehydrogenase (FAD), molybdenum binding protein and cytochromes. Heterologous expression studies were hampered by the plasmid and host with high efficiency and currently only Pseudomonas entomophila L48 as well as Comamonas testosterone was successfully utilized for the expression of NDHase. Furthermore, it is speculated that the conjugate and inductive effects of the substituent group at position 3 of the substrate pyridine ring exerts a critical role in the hydroxylation reactions at position 6 concerning about the substrate molecular recognition mechanism. Finally, applications of NDHase are addressed in terms of pesticide industry and wastewater treatment. On conclusion, this critical review would not only deepen our understanding of the theory about NDHase, but also provides the guideline for future investigation of NDHase.

Deep Learning-Based Defects Detection Method of Expiration Date Printed In Product Package (딥러닝 기반의 제품 포장에 인쇄된 유통기한 결함 검출 방법)

  • Lee, Jong-woon;Jeong, Seung Su;Yu, Yun Seop
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.463-465
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    • 2021
  • Currently, the inspection method printed on food packages and boxes is to sample only a few products and inspect them with human eyes. Such a sampling inspection has the limitation that only a small number of products can be inspected. Therefore, accurate inspection using a camera is required. This paper proposes a deep learning object recognition technology model, which is an artificial intelligence technology, as a method for detecting the defects of expiration date printed on the product packaging. Using the Faster R-CNN (region convolution neural network) model, the color images, converted gray images, and converted binary images of the printed expiration date are trained and then tested, and each detection rates are compared. The detection performance of expiration date printed on the package by the proposed method showed the same detection performance as that of conventional vision-based inspection system.

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Food recognition service using HSV data preprocessing function (데이터 전처리 기능을 활용한 음식 사진 인식 서비스 설계 및 구현)

  • Kim, Hakkyeom;Yoo, Yeonjoon;Shin, Daehyun;Oh, Juhyeon;Lee, Jin-a;Kim, Youngwoon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.11a
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    • pp.1215-1218
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    • 2021
  • 한국을 방문하는 외국인들은 매년 증가하고 있고 방한 목적 중 식도락관광이 3위에 오를 만큼 세계에서 한국 음식은 위상이 높아지고 있다. 하지만, 한국에서의 알레르기 성분 표시는 법적 의무가 아니기 때문에 대부분의 한식당에서는 이를 표시하지 않고 있고 알레르기가 있는 외국인 관광객들은 한국 음식 섭취에 있어서 상당한 위험과 불편함을 부담하고 있다. 이에 본 논문에서는 머신러닝을 활용하여 사진 촬영만으로 쉽고 정확하게 알레르기 성분을 제공하고자 사물 이미지 데이터 전처리를 위한 HSV(Hue, Saturation, Value) 데이터 전처리 기법을 제안한다. 제안하는 기법은 이미지의 HSV의 평균 및 분산, 표준편차를 통해 불필요한 데이터를 제거한다. 성능평가에서는 비빔밥, 불고기, 제육볶음 등 사진 약 500장의 데이터 셋을 구성하여 HSV의 평균 및 분산을 통해 이미지를 제거하는 방식으로 구축한 데이터 셋을 TensorFlow를 통해 정확도와 학습시간을 측정한다. 측정결과, 제안하는 기법으로 구축한 데이터 셋은 최소 15%에서 최대 25% 높은 정확도와 최소 37.96%에서 최대 42.85% 높은 정도 낮은 학습시간을 보여주었다. 향후 HSV를 활용한 데이터 전처리 기법은 더 많은 데이터를 통해 더욱 구체적인 성능 분석이 필요하다. 또한, 실질적인 개발 및 구현을 통해 제안하는 데이터 전처리 기법의 더욱 현실적인 검증이 필요하다.

Changes and Perspects in the Regulation on Medical Device Approval Report Review, etc. : Focus on Traditional Korean Medical Devices (의료기기 허가·신고·심사 등에 관한 규정 변화와 전망 : 한의 의료기기 중심으로)

  • DaeJin Kim;Byunghee Choi;Taeyeung Kim;Sunghee Jung;Woosuk Kang
    • Journal of Society of Preventive Korean Medicine
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    • v.28 no.1
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    • pp.31-42
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    • 2024
  • Objective : In order to understand the changes in domestic approval regulations applicable to traditional Korean medical device companies, this article will explain the major amendments 「Regulation on Medical Device Approval Report Review, etc.」 from 2005 to the present on a year-by-year basis, and provide a counter plan to the recent changes in approval regulations. Methods : We analysed the changes in approval regulatory amendments related to the traditional Korean medical devices from 2005 to the present. Results : The Ministry of Food and Drug Safety is continuously improving medical device approval regulations to ensure the global competitiveness of domestic medical devices and contribute to the improvement of public health. Recent major approval regulatory amendments include the establishment of a review system for software medical devices and digital therapeutics, the recognition of real world evidence materials, the introduction of a biological evaluation of medical devices within a risk management process and a medical device approval licence renewal system. Conclusions : It is expected that the range of medical devices available to Korean medicine doctors will continue to expand in the future through the provision of non-face-to-face medical services and the development of advanced and new medical devices, as well as wearable medical devices and digital therapeutics. In order to increase the market entry potential of traditional Korean medical devices that incorporate advanced technologies such as digital technology and AI-based diagnosis and prediction technology, it is urgent that the government provide significant support to traditional Korean medical device companies to improve approval regulatory compliance.

Analysis on the Trend in Customers' Consciousness as Appeared in Wellbeing Trend, LOHAS -Mainly in Food, Clothing, and Shelter Based Websites- (웰빙 트렌드 로하스(LOHAS)에 나타난 소비자 의식 변화에 따른 웹 디자인 발전방향 분석 - 의, 식, 주 웹 사이트를 중심으로 -)

  • Kim, Min-Seo;Chun, Yang-Deok
    • Archives of design research
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    • v.20 no.3 s.71
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    • pp.49-60
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    • 2007
  • As the world is in the age of globalization and information, we observe diverse changes in the market environment. Since wide-spread internet services and global networks made ubiquitous learning and business possible, equalizing consumers' ideology and preference, new trend and life style could be introduced easily. This study stipulates on the theoretical concept of the wellbeing consumer and LOHAS consumer. Consumers of LOHAS could be sampled out through pre-questionnaire targeting at selected food, clothing, and shelter based on companies of both wellbeing and general brands. Through this it is attempted to measure wellbeing emotion, recognition quotient of emotion and reason, affirmation and negation, mental emotion quotient, and preference in order to find out their value and to ultimately come up with what web design should be aiming at. Conclusions are as follows: Firstly, consumers easily recognize emotional identification from the web pages of wellbeing brand, rather than that of general brands. Secondly, what web pages of wellbeing brand recognize is reason, not emotion. Thirdly, the design of wellbeing brands scored higher than those of general brands in terms of positive aspects such as hospitality and familiarity, and high mental emotion quotient could not affect the consumers' preference toward web design. Fourthly, wellbeing brands win more preference than general brands do, and preference becomes higher after customers' visit to web pages basically. Lastly, sampled emotional adjectives toward the web designs of wellbeing brands marked a aesthetic graph figure, without leaning toward an active or stable one. It is expected that this study can serve as a groundwork to create proper strategies to actively involve consumers in industrial sphere.

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Purchasing Behavior of Lactic acid Bacteria Products (유산균 제품의 구매행동에 관한 연구)

  • Oh, Myung-Cheol;Yang, Tai-Seok
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.1
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    • pp.279-290
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    • 2018
  • The purpose of this study was to investigate the effect of consumption patterns of lactic acid bacteria(LAB) on the purchasing decisions of LAB products for the commercialization of lactic acid fermented products. The average use frequency of LAB product was 5 times/week and liquid type was the most preferred. The LAB products were purchased for their health benefits. The requirements for improvement of LAB products were natural (6.037), functional (5.936) and storage (5.856). Multiple regression analysis was conducted to examine the effect of consumption buying behavior on purchase decision-making behavior factors of LAB products. From the analysis results, comparison(. 468) appears to affect the ingredient factor. Comparison(.188), experience(.281), and showoff(.370) influence brand factors. Showoff(.598) influences design factors. Showoff (0.345) affected the price factor. Increasing the purchasing decision ability of LAB products will require producing a functional product in comparison with other products, and producing the products in a company with strong recognition. The packaging should suggest a luxurious design and expensive products.

Effects of Consumer Awareness of Organic Agricultural Products on Repurchase Intention (유기농산물 소비자인식이 재구매의사에 미치는 영향)

  • Seo, Yong-Sil;Seo, Yoon-Jeong;Lee, Jin-Hong;Lee, Byung-Oh
    • Journal of Distribution Science
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    • v.13 no.11
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    • pp.59-67
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    • 2015
  • Purpose - The number of consumers adopting a lifestyle of health and sustainability has recently increased with the rise of trends in healthy living. The size of the organic agricultural product market has also increased given that these consumers prefer consuming environmentally friendly products that promote family health. However, awareness of organic agricultural products remains insufficient because of the characteristics of the Korean organic agriculture system, which only focuses on food safety inspection. The object of this research is to suggest a policy approach to increase understanding and to expand the purchasing of organic agricultural products by analyzing the influence of customer recognition of such products on their willingness to repurchase. Research design, data, and methodology - This study used binomial logistic regression analysis with the aim of explaining the effects of consumers' socio-demographic characteristics, their awareness of the equivalence arrangement for organic food and of the abolishment of low-pesticide agricultural product certification, and their viewing of negative broadcasts about organic agricultural products on their repurchase intention of such products. A questionnaire survey was conducted with 655 respondents who were in their 20s, lived either in Seoul or in its metropolitan area, and had purchased organic agricultural products. Result - From the results of the analysis, the majority of the respondents recognized organic agricultural products, but they found their prices to be expensive. The majority of the respondents were also aware of the certification system and the reliability of organic agricultural products. However, the results indicate that efforts need to be made to recover consumer trust as many respondents stated that their trust levels in these products were low. In general, those purchasing organic agricultural products were satisfied, but those answering "very satisfied" were not in the majority. Binomial logistic regression analysis results revealed that repurchase intention decreased as consumers viewed a greater number of negative broadcasts about these products. On the other hand, repurchase intention increased as they became more aware of the abolishment of low-pesticide certification. Repurchase intention also increased as income increased, as the number of family members decreased, and when a consumer was a member of a consumer organization. In addition, the older the consumers were who watched the TV programs, the smaller the number of family members that were aware of the abolishment of low-pesticide agricultural product certification and, the higher the income of the consumers aware of organic equivalence arrangement, the greater their repurchase intention. Conclusion - External stimuli, such as negative TV programs on organic agricultural products and the abolishment of the low-pesticide agricultural product certification, relevant social issues and systems, influence consumer repurchase intention. To that end, positive environmental and ecological broadcasting about organic agricultural products would contribute to an increase in purchasing. Additionally, this could be used for promotion and marketing plans as the results indicate that trust in organic agricultural products would cause a positive repurchasing effect.

Effect of Dietary Supplementation of β-Carotene on Lipid Peroxide Level and Antioxidative Vitamins of Diabetic Rats (β-Carotene의 보충 급여가 당뇨쥐의 지질과산화물과 항산화비타민 함량에 미치는 영향)

  • 서정숙;이경순;장정현
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.33 no.1
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    • pp.72-77
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    • 2004
  • Diabetic vascular complications such as atherosclerosis have been reported as one of significant obstructions in treatment of diabetes. There has been a significant increase in recognition of the importance of antioxidative nutrients such as vitamin E, for the prevention of diabetic vascular complication by oxidative stress. This study focused on the effect of dietary $\beta$-carotene on the levels of lipid peroxide and antioxidative vitamins of diabetic rats. The plasma glucose level, hepatic level of lipid peroxide and contents of antioxidants such as vitamins A and E were determined in STZ-induced diabetic rats. Dietary supplementation of B-carotene did not reduce the blood glucose in diabetic rats. Hepatic level of lipid peroxide tended to increase in diabetic rats, but $\beta$-carotene intake reduced the value. Plasma levels of retinol and retinol/lipid were not changed by dietary supplementation of $\beta$-carotene. There was no significant difference among experimental groups in plasma level of $\alpha$-tocopherol. Hepatic levels of retionl and retinyl palmitate were increased by dietary supplementation of $\beta$-carotene in diabetic rats. These results suggest that the supplementation of $\beta$-carotene to the normal diet of diabetics may reduce the incidence of the diabetic vascular complications through the improvement of antioxidants depletion.