• Title/Summary/Keyword: Foods monitoring

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Design and Implementation of Fruit harvest time Predicting System based on Machine Learning (머신러닝 적용 과일 수확시기 예측시스템 설계 및 구현)

  • Oh, Jung Won;Kim, Hangkon;Kim, Il-Tae
    • Smart Media Journal
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    • v.8 no.1
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    • pp.74-81
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    • 2019
  • Recently, machine learning technology has had a significant impact on society, particularly in the medical, manufacturing, marketing, finance, broadcasting, and agricultural aspects of human lives. In this paper, we study how to apply machine learning techniques to foods, which have the greatest influence on the human survival. In the field of Smart Farm, which integrates the Internet of Things (IoT) technology into agriculture, we focus on optimizing the crop growth environment by monitoring the growth environment in real time. KT Smart Farm Solution 2.0 has adopted machine learning to optimize temperature and humidity in the greenhouse. Most existing smart farm businesses mainly focus on controlling the growth environment and improving productivity. On the other hand, in this study, we are studying how to apply machine learning with respect to harvest time so that we will be able to harvest fruits of the highest quality and ship them at an excellent cost. In order to apply machine learning techniques to the field of smart farms, it is important to acquire abundant voluminous data. Therefore, to apply accurate machine learning technology, it is necessary to continuously collect large data. Therefore, the color, value, internal temperature, and moisture of greenhouse-grown fruits are collected and secured in real time using color, weight, and temperature/humidity sensors. The proposed FPSML provides an architecture that can be used repeatedly for a similar fruit crop. It allows for a more accurate harvest time as massive data is accumulated continuously.

A Survey on the Actual Condition of Products not Labeled with Allergens (알레르기 유발물질 미표시 제품 실태 조사)

  • Kim, Kyung-Seon;Song, Sung-Min;Kwon, Sung-Hee;Jang, Seung-Eun;Lee, Bo-Min;Kim, Meyong-Hee;Han, Young-Sun;Hur, Myung-Je;Kwon, Mun-Ju
    • Journal of Food Hygiene and Safety
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    • v.36 no.3
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    • pp.257-263
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    • 2021
  • For this survey, PCR (polymerase chain reaction) testing was conducted using 14 species-specific primers to monitor the labeling of allergy-causing substances in various foods. Sixty samples from stationary stores near elementary schools and imported confectionery shops were tested, including snacks, candies, and chocolate. Allergens of milk, wheat, eggs, tomatoes, almonds and peanuts were detected in 30 cases (50.0%). In addition, many products were detected as either containing unlabeled substances or not showing allergen-related information and labeling in Korean. In order to ensure that consumers are able to purchase products safely and securely, a system for thorough guidance and monitoring of allergen-related labeling by domestic manufacturing and processing companies and import-related companies is required.

Applying a smart livestock system as a development strategy for the animal life industry in the future: A review (미래 동물생명산업 발전전략으로써 스마트축산의 응용: 리뷰)

  • Park, Sang-O
    • Journal of the Korean Applied Science and Technology
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    • v.38 no.1
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    • pp.241-262
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    • 2021
  • This paper reviewed the necessity of a information and communication technology (ICT)-based smart livestock system as a development strategy for the animal life industry in the future. It also predicted the trends of livestock and animal food until 2050, 30 years later. Worldwide, livestock raising and consumption of animal food are rapidly changing in response to population growth, aging, reduction of agriculture population, urbanization, and income growth. Climate change can change the environment and livestock's productivity and reproductive efficiencies. Livestock production can lead to increased greenhouse gas emissions, land degradation, water pollution, animal welfare, and human health problems. To solve these issues, there is a need for a preemptive future response strategy to respond to climate change, improve productivity, animal welfare, and nutritional quality of animal foods, and prevent animal diseases using ICT-based smart livestock system fused with the 4th industrial revolution in various aspects of the animal life industry. The animal life industry of the future needs to integrate automation to improve sustainability and production efficiency. In the digital age, intelligent precision animal feeding with IoT (internet of things) and big data, ICT-based smart livestock system can collect, process, and analyze data from various sources in the animal life industry. It is composed of a digital system that can precisely remote control environmental parameters inside and outside the animal husbandry. The ICT-based smart livestock system can also be used for monitoring animal behavior and welfare, and feeding management of livestock using sensing technology for remote control through the Internet and mobile phones. It can be helpful in the collection, storage, retrieval, and dissemination of a wide range of information that farmers need. It can provide new information services to farmers.

Current research trends of analytical methods for non-nutritive sweeteners (Non-nutritive sweeteners 분석을 위한 최근 분석기술 동향)

  • Yun, Choong-In;Kim, Young-Jun
    • Food Science and Industry
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    • v.55 no.1
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    • pp.58-73
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    • 2022
  • Due to the recent demand for low-calorie foods, consumers are looking for alternative sweeteners that can control blood sugar, low risk of tooth decay and low calories. Regulations for permitted sweeteners in food vary from every country, and it is important for the government and the food industry to monitor products containing these sweeteners to ensure global compliance. Therefore, rapid, precise, and accurate analysis for food matrices should be applied to quality control, market surveillance, monitoring, and evaluation of food additive intake in the food industry. To analyze sweeteners simultaneously, it is essential to develop an efficient and rapid analytical method and to perform appropriate pretreatment steps such as solvent extraction and purification. This study presented the recent analysis trends about the suitable extraction method for food matrices focusing on non-nutritive sweeteners. Additionally, techniques for multi-compounds analysis using HPLC and LC-MS/MS and non-destructive analysis techniques using FT-IR were comprehensively described.

Ethylene Gas Indicator for Monitoring Climacteric Fruit Ripening (과일 숙성 에틸렌가스 지시계 기술개발 현황)

  • Shin, Dong Un;Lee, Seung Ju
    • KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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    • v.28 no.1
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    • pp.47-53
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    • 2022
  • Recently, intelligent packaging of foods has been increasingly developed in response to the growing interest of consumers in checking food quality. Indicators, an important element in intelligent packaging, change color to detect specific substances or indicate food quality changes. Gas indicators can be built into food packaging to detect volatile substances that are released when food quality changes. Ethylene gas is produced as climacteric fruits ripen. Climacteric fruit ripening results from a rapid increase in ethylene production and respiration. In the case of packaged fruits, the ethylene gas concentration in the headspace is closely related to the ripeness of each fruit variety. If an ethylene gas indicator that can be used in fruit packaging is available, the consumer will be able to eat the fruit at the optimal time. In this paper, the characteristics and pros and cons of the ethylene gas indicators developed so far were analyzed by reviewing various types of indicators such as metal reduction-based indicator, fluorescence-based indicator, pH indicator-based indicator, and liposome-based indicator.

Early childhood eating behaviors associated with risk of overweight and its socio-ecological determinants in Korean preschool children

  • Yeri Kim ;Jiye Kim ;Bomi Lee ;Seungyoun Jung;Seo-Jin Chung ;Hyekyeong Kim ;Nana Shin ;Yuri Kim
    • Nutrition Research and Practice
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    • v.17 no.4
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    • pp.717-734
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    • 2023
  • BACKGROUND/OBJECTIVES: This study aimed to identify preschool children's eating behaviors associated with early childhood obesity and its multi-level, socio-ecological determinants. SUBJECTS/METHODS: In a cross-sectional study of 364 mothers of preschool children aged 3-5 years, these children's healthy eating behaviors were assessed using a validated preschool nutrition quotient (NQ-P) questionnaire. The children's overweight or obesity statuses were determined based on body mass index percentiles from the 2017 Korean National Growth Chart. The associations between the NQ-P score and risk of overweight or obesity were examined using multivariable logistic regression. The associations of individual, maternal, physical, and media environmental factors with the NQ-P score were also examined using multivariable linear regression. RESULTS: Preschool children with greater NQ-P scores were at a significantly lower risk of overweight or obesity (P < 0.01). The NQ-P score had a significantly positive association with maternal body mass index and an inverse association with household income (all P < 0.05). Maternal parenting and feeding practices exhibited associations with the NQ-P score. Positive associations were observed with "warm," "structured," and "autonomy-supportive" parenting as well as monitoring feeding practices (all P < 0.05). In addition, the NQ-P score had a significantly positive association with the childcare center's anti-obesogenic environment, such as the provision of nutritional and physical-activity support and vicinity of the built food environment to the home, including access to good-quality food, fruits and vegetables, and low-fat foods (all P < 0.05). Regarding media environments, the NQ-P score demonstrated more significant associations with viewing and eating and/or cooking content displayed on online video platforms (all P < 0.05) than with that on television. CONCLUSIONS: Our findings confirm the significance of healthy eating behaviors in early-childhood-obesity prevention and underscore the importance of multilevel maternal, physical, and media environmental interventions that effectively guide eating behaviors in preschool children.

Study on the Analytical Method and Monitoring of the Oxidized Polyethylene Wax in Foods (식품 중 oxidized polyethylene wax 분석법 연구 및 함유량 실태 조사)

  • Choi, Seung-Hyun;Kim, Jae-Min;Choi, Sun-il;Jung, Tae-Dong;Cho, Bong-Yeon;Lee, Jin-Ha;Lee, Gunyoung;Lim, Ho Soo;Yun, Sang Soon;Lee, Ok-Hwan
    • Journal of Food Hygiene and Safety
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    • v.32 no.4
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    • pp.284-289
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    • 2017
  • Oxidized polyethylene wax (OPEW) is, one of the food additives, used as a coating agent in citrus fruits and nuts. OPEW is authorized to quantum satis in EU, USA, and is acceptable less than 250 mg/kg in Australia and New Zealand. But OPEW is unauthorized as a food additive in Korea. This study was to establish the analytical method of OPEW and demonstrate the effective application of various food samples. We first conducted to compare the various analytical method including acid value (AV), high temperature gel permeation chromatography (HT-GPC), matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF/MS), gas chromatography flame ionization detector (GC-FID) and fourier transform infrared spectroscopy (FT-IR). This result indicated that FT-IR spectrum of OPEW treated food sample displayed absorption bands for carbonyl group (C=O, $1714cm^{-1}$), ester group (C-O, $1463cm^{-1}$), aliphatic group (C-H, $2916cm^{-1}$). Furthermore, IR spectrum of OPEW treated food sample showed similar tendency with IR spectrum of OPEW standard. Therefore, it is confirmed that analytical method using FT-IR can be detected on analysis of OPEW in food. As a result of monitoring of 111 samples using established analytical method, OPEW was not detected in the food samples.

A Monitoring for the Management of Microbiological Hazard in Rice-cake by Climate Change (기후변화에 따른 떡류의 미생물학적 위해관리를 위한 권역별 모니터링)

  • Choi, Song-Yi;Jeong, Se-Hee;Jeong, Myung-Seop;Park, Ki-Hwan;Jeong, Young-Gil;Cho, Joon-Il;Lee, Soon-Ho;Hwang, In-Gyun;Bahk, Gyung-Jin;Oh, Deog-Hwan;Chun, Hyang-Sook;Ha, Sang-Do
    • Journal of Food Hygiene and Safety
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    • v.27 no.3
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    • pp.301-305
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    • 2012
  • This study was conducted to investigate the microbiological contamination levels in rice cakes and rice flour due to climate change in three areas classified to their temperature and precipitation. We investigated the contamination levels of total aerobic bacteria, coliforms, Escherichia coli, Bacillus cereus, Staphylococcus aureus, Clostridium perfringens of rice flour and 3 rice cakes such as Garaetteok, Sirutteok and Gyeongdan. Contamination levels of total aerobic bacteria in rice flour were 4.9 log CFU/g. In a total of 70 rice flour, yeasts & molds and coliforms were detected in 42 and 52 samples at the levels of 43 CFU/g and 1.29 log CFU/g, respectively. S. aureus were detected in only 1 rice flour (1.66 log CFU/g) out of 70. In an investigation of contamination levels in rice cakes, the population of total aerobic bacteria were highest in Gyeongdan (5.18 log CFU/g) and coliforms were highest in Gareattock (2.93 log CFU/g). There was no detection of E. coli and B. cereus except for only 1 Gareattock (1.20 log CFU/g). There were no differences of contamination levels among the three areas. If constant monitoring of rice cakes and rice flour is conducted on the basis of this study, it is expected to be able to analyze the change of contamination levels in rice cakes and rice flour due to climate change.

Population Size and Home Range Estimates of Domestic Cats (Felis catus) on Mara Islet, Jeju, in the Republic of Korea (제주 마라도에 서식하는 고양이(Felis catus)의 개체군 크기 및 행동권 추정)

  • Kim, Yujin;Lee, Woo-Shin;Choi, Chang-Yong
    • Korean Journal of Environment and Ecology
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    • v.34 no.1
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    • pp.9-17
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    • 2020
  • Domestic cats (Felis catus) introduced to insular environments can be invasive predators that often threaten endemic species and cause biodiversity loss or local extinction on the island. This study was conducted from March to July 2018 to understand the population size, home range, and spatial use of cats introduced to Mara Islet (N 33° 07', E 126° 16') in Jeju Special Governing Province, the Republic of Korea. Observation records based on their natural marks revealed that there were 20 adult cats on Mara Islet. A capture-recapture method also estimated 20 adult individuals (95% confidence interval: 20-24 individuals). According to our telemetry study on ten adults deployed with GPS-based telemetry units, the home range size was 12.05±6.99 ha (95% KDE: kernel density estimation), and the core habitat size was 1.60±0.77 ha (50% KDE). There were no significant differences in the home range and core habitat sizes by sex. The home range of domestic cats overlapped with the human residential area, where they might secure easy foods. Five of ten tracked cats were active at potential breeding colonies for the Crested Murrlet (Synthliboramphus wumizusume), and six approached potential breeding areas of the Styan's Grasshopper Warbler (Locustella pleskei), suggesting the predation risk of the two endangered species by cats. This study provides novel information on the population size and home range of introduced cats on Mara Islet which is an important stopover site of migratory birds as well as a breeding habitat of the two endangered avian species. Reducing the potential negative impacts of the introduced cats on migratory birds and the endangered species on Mara Islet requires monitoring of the predation rate of birds by cats, the population trends of cats and endangered breeding birds as well as the effective cat population control and management.

Development of Self-Managed Food Sanitation Check-List and On-Site Monitoring of Food Sanitation Management Practices in Restaurants for Control of Foodborne Illness Risk Factors (식중독 발생 위험요인 관리를 위한 외식업체 자가위생관리점검표 개발 및 현장모니터링)

  • Chung, Min-Jae;Choi, Jung-Hwa;Ryu, Kyung;Kwak, Tong-Kyung
    • Korean journal of food and cookery science
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    • v.26 no.5
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    • pp.603-616
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    • 2010
  • Based on recent dramatic increases in foodborne outbreaks in restaurants, self-managed sanitation systems are now recommended to control contributing risk factors. This study aimed to improve sanitation management practices in restaurants and had two objectives. First, we tried to develop a self-managed sanitation check-list, including risk factors contributing to foodborne illness and Korean food hygiene regulation articles. We also tried to evaluate current sanitation management practices in restaurants according to operation and restaurant type. Thirty restaurants were evaluated by on-the-spot inspectors using an auditing tool consisting of four dimensions, seventeen categories, and forty-one items. Total compliance rate categorized by operation type significantly differed between chain restaurants and self-managed restaurants, with values of 85.5% and 51.6%, respectively. Therefore, self-managed restaurants, which showed the lowest compliance rate of below 30.0%, need more strict control to improve current unsanitary management practices, specifically relating to 'sterilization of knives, chopping boards, and wiping cloths', 'sanitation training', 'not allowing access into the kitchen to outsiders', 'handling of food or utensils on shelves at a 15 cm distance away from floor', 'prevention of cross-contamination of cooked foods or vegetables', and 'records of kitchen access or inspection'. Thus, an effective food sanitation system is essential and should be implemented to improve the existing sanitary conditions in restaurants. However, the most important factor to achieving food sanitation management objectives is food handlers' self-motivation.