Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Peiqi Miao"'
Autor:
Zhouyou Wu, Qilong Xue, Peiqi Miao, Chenfei Li, Xinlong Liu, Yukang Cheng, Kunhong Miao, Yang Yu, Zheng Li
Publikováno v:
Foods, Vol 12, Iss 9, p 1775 (2023)
A machine vision system based on a convolutional neural network (CNN) was proposed to sort Amomum villosum using X-ray non-destructive testing technology in this study. The Amomum villosum fruit network (AFNet) algorithm was developed to identify the
Externí odkaz:
https://doaj.org/article/5bca3b4de16746309124dd28c3f87236
Publikováno v:
Molecules, Vol 24, Iss 9, p 1811 (2019)
Chinese medical preparation has complicated chemical constituents. Consequently, the proper quality control methods for these Chinese medical preparations have been great challenges to the traditional Chinese medicine modernization and internationali
Externí odkaz:
https://doaj.org/article/f1d248963ecf49f78abffffebfbcac93
Publikováno v:
Journal of Food Science. 87:3386-3395
An online machine learning system based on X-ray nondestructive quality evaluation technique was developed to detect internal defects of boat-fruited sterculia seed. The X-ray images of boat-fruited sterculia seed were first acquired by the detection
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9da3bf1d5a7a9abe9bc91563455bcfc7
https://doi.org/10.1111/1750-3841.16237
https://doi.org/10.1111/1750-3841.16237
Publikováno v:
Chinese Herbal Medicines.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c3e2d378198bd6e973fa5da6458157a
https://doi.org/10.1016/j.chmed.2023.01.001
https://doi.org/10.1016/j.chmed.2023.01.001
Publikováno v:
Microchemical Journal. 190:108670
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d9e342d0916b04eeae658e8f16bda63
https://doi.org/10.1016/j.microc.2023.108670
https://doi.org/10.1016/j.microc.2023.108670
Publikováno v:
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy. 287(Pt 1)
Natural products with the underground edible part have the risk of excessive heavy metals due to the influence of the growing environment. In this study, the content of five metal elements in lily bulbs was detected by laser-induced breakdown spectro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d61478509938ceb9336949c1d6e0067
https://pubmed.ncbi.nlm.nih.gov/36327800
https://pubmed.ncbi.nlm.nih.gov/36327800
Publikováno v:
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy. 293:122510
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99a57e7fa7e89b66ecf9d05bfeda53ba
https://doi.org/10.1016/j.saa.2023.122510
https://doi.org/10.1016/j.saa.2023.122510
Publikováno v:
Postharvest Biology and Technology. 197:112226
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c01e0aba8da39b950f3838f94526a33
https://doi.org/10.1016/j.postharvbio.2022.112226
https://doi.org/10.1016/j.postharvbio.2022.112226
Publikováno v:
Journal of Food Engineering. 320:110927
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::790d5e482e5fe01273c440b1abe5d6e6
https://doi.org/10.1016/j.jfoodeng.2021.110927
https://doi.org/10.1016/j.jfoodeng.2021.110927
Publikováno v:
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy. 258:119787
Defect detection is a critical issue for the quality control of dropping pills, which is a special dosage form of traditional Chinese Medicine. Machine vision is a non-destructing testing technology and cost-effective with high accuracy that can be u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9162c760056e8acda9e44698b561735c
https://doi.org/10.1016/j.saa.2021.119787
https://doi.org/10.1016/j.saa.2021.119787