Zobrazeno 1 - 10
of 148
pro vyhledávání: '"Seung-Chul Yoon"'
Autor:
Bin Pang, Brian Bowker, Seung-Chul Yoon, Yi Yang, Jian Zhang, Changhu Xue, Yaoguang Chang, Jingxin Sun, Hong Zhuang
Publikováno v:
Foods, Vol 13, Iss 12, p 1816 (2024)
This study evaluated the potential of using combined relaxation (CRelax) spectra within time-domain nuclear magnetic resonance (TD-NMR) measurements to predict meat quality. Broiler fillets affected by different severities of the wooden breast (WB) c
Externí odkaz:
https://doaj.org/article/766c9af94f0e46008282efadae25e1fb
Autor:
Yang Liu, Chaojie Wei, Seung-Chul Yoon, Xinzhi Ni, Wei Wang, Yizhe Liu, Daren Wang, Xiaorong Wang, Xiaohuan Guo
Publikováno v:
Sensors, Vol 24, Iss 8, p 2467 (2024)
The maturity of fruits and vegetables such as tomatoes significantly impacts indicators of their quality, such as taste, nutritional value, and shelf life, making maturity determination vital in agricultural production and the food processing industr
Externí odkaz:
https://doaj.org/article/f5c4f17e58204ea9b2dc4c1c6a539a9a
Publikováno v:
Sensors, Vol 23, Iss 16, p 7014 (2023)
A novel semisupervised hyperspectral imaging technique was developed to detect foreign materials (FMs) on raw poultry meat. Combining hyperspectral imaging and deep learning has shown promise in identifying food safety and quality attributes. However
Externí odkaz:
https://doaj.org/article/b05ae6257b664dd08eaeda95b7427b0b
Publikováno v:
Agriculture, Vol 13, Iss 3, p 518 (2023)
To overcome the low recognition accuracy, slow speed, and difficulty in locating the picking points of tea buds, this paper is concerned with the development of a deep learning method, based on the You Only Look Once Version 4 (YOLOv4) object detecti
Externí odkaz:
https://doaj.org/article/e06734e7b70e4fc690f96718556f1666
Autor:
Haicheng Zhang, Beibei Jia, Yao Lu, Seung-Chul Yoon, Xinzhi Ni, Hong Zhuang, Xiaohuan Guo, Wenxin Le, Wei Wang
Publikováno v:
Sensors, Vol 22, Iss 13, p 4864 (2022)
To study the dynamic changes of nutrient consumption and aflatoxin B1 (AFB1) accumulation in peanut kernels with fungal colonization, macro hyperspectral imaging technology combined with microscopic imaging was investigated. First, regression models
Externí odkaz:
https://doaj.org/article/4184de320a2a4ab3af89e93a8d6e1771
Publikováno v:
Sensors, Vol 22, Iss 3, p 1036 (2022)
In recent years, the wooden breast condition has emerged as a major meat quality defect in the poultry industry worldwide. Broiler pectoralis major muscle with the wooden breast condition is characterized by hardness upon human palpation, which can l
Externí odkaz:
https://doaj.org/article/8c44b294979f43afa78f5d318ee593e4
Autor:
Soo Chung, Seung-Chul Yoon
Publikováno v:
Applied Sciences, Vol 11, Iss 24, p 11987 (2021)
Foreign material (FM) found on a poultry product lowers the quality and safety of the product. We developed a fusion method combining two hyperspectral imaging (HSI) modalities in the visible-near infrared (VNIR) range of 400–1000 nm and the short-
Externí odkaz:
https://doaj.org/article/ab818083309c4fbf9a96704bc49da93f
Publikováno v:
Journal of Spectral Imaging, Vol 8, Iss 1, p a6 (2019)
Campylobacter is an emerging zoonotic bacterial threat in the poultry industry. The current methods for the isolation and detection of Campylobacter are culture-based techniques with several selective agars designed to isolate Campylobacter colonies,
Externí odkaz:
https://doaj.org/article/c9b8c210cd534941896a18c7ccc74b5b
Publikováno v:
Journal of Food Quality, Vol 2017 (2017)
Electrical impedance spectroscopy (EIS), as an effective analytical technique for electrochemical system, has shown a wide application for food quality and safety assessment recently. Individual differences of livestock cause high variation in qualit
Externí odkaz:
https://doaj.org/article/903b9a37d8b5479dac8a2babe6600da1
Publikováno v:
Applied Sciences, Vol 8, Iss 12, p 2602 (2018)
Near-infrared (NIR) spectroscopy and NIR hyperspectral imaging (NIR-HSI) were compared for the rapid estimation of physical and mechanical properties of No. 2 visual grade 2 × 4 (38.1 mm by 88.9 mm) Douglas-fir structural lumber. In total, 390 lumbe
Externí odkaz:
https://doaj.org/article/85325ccfe84849808395065c101af962