Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Mingyin Yao"'
Publikováno v:
Foods, Vol 11, Iss 24, p 4009 (2022)
Online detection of impurities content in the corn deep-bed drying process is the key technology to ensure stable operation and to provide data support for self-adapting control of drying equipment. In this study, an automatic approach to corn image
Externí odkaz:
https://doaj.org/article/0099f7abed854a8ead95ef6851f2a770
Publikováno v:
Applied Sciences, Vol 12, Iss 3, p 1202 (2022)
The corn production cost (CPC) in China is related to national food security. However, there are few studies on the temporal and regional differences (TRD) and sensitive factors in the CPC. In this paper, the TRD of the corn production cost across va
Externí odkaz:
https://doaj.org/article/d329a07373cf4f80a4786ad8d256e5f1
Autor:
Lin Huang, Yangfan Chen, Jianbo Wang, Zhandong Cheng, Lei Tao, Huamao Zhou, Jiang Xu, Mingyin Yao, Muhua Liu, Tianbing Chen
Publikováno v:
Analytical Methods. 15:738-745
An online identification and classification system based on LIBS technology was developed to detect Gannan navel oranges, and realized real-time and fast detection of navel orange quality. Combined with IGA-SVM, the classification accuracy can reach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4194f6bd0b643aace2d01dc1da3a2d3
https://doi.org/10.1039/d2ay01874h
https://doi.org/10.1039/d2ay01874h
The economic value and consumer acceptance of Pu-erh tea heavily depend on the production year. The present study aims to evaluate the potential of utilizing laser-induced breakdown spectroscopy (LIBS) in conjunction with chemometric models to identi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ec24e92164d9bee1e8a365d41c8aba7
https://doi.org/10.21203/rs.3.rs-2725314/v1
https://doi.org/10.21203/rs.3.rs-2725314/v1
This paper applies the Wuli-Shili-Renli (WSR) methodology to construct an index system that evaluates the technical and economic effects of rice mechanization (TER). The system includes 26 indicators, and the study calculates the weight of each indic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c358c4b6d3a64cdefac0100739b8a103
https://doi.org/10.21203/rs.3.rs-2614728/v1
https://doi.org/10.21203/rs.3.rs-2614728/v1
Publikováno v:
Journal of Food Science. 87:819-832
Some specific spoilage organisms (SSO) respond to the presence of exogenous N-acyl-homoserine lactones (AHLs) through the quorum sensing (QS) system to modulate their spoilage characteristics. To explore the effect of exogenous AHLs on the spoilage c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b6f27c1ffed660db27da65fe8d98f2f
https://doi.org/10.1111/1750-3841.16038
https://doi.org/10.1111/1750-3841.16038
Publikováno v:
Journal of Analytical Atomic Spectrometry. 37:1948-1960
LIBS in agricultural product sample preparation methods and agricultural product quality and safety analysis applications are reviewed. The advantages as well as challenges of LIBS in agricultural applications are discussed.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::668cd6fd32e629ea0171b7813709c920
https://doi.org/10.1039/d2ja00149g
https://doi.org/10.1039/d2ja00149g
Publikováno v:
Optik. 281:170800
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90d703cd80ea74bd965149a14b45c4ca
https://doi.org/10.1016/j.ijleo.2023.170800
https://doi.org/10.1016/j.ijleo.2023.170800
Autor:
Jiang Xu, He Xiuwen, Zhou Huamao, Liu Muhua, Huang Lin, Mingyin Yao, Gangrong Fu, Tianbing Chen
Publikováno v:
Journal of Analytical Atomic Spectrometry. 36:361-367
To improve the accuracy of laser-induced breakdown spectroscopy (LIBS) in the classification of tea leaves, a modified adaptive mutation probability for genetic algorithm (GA) was proposed to optimize support vector machines (SVM). The implementation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fcc719d4ac790c91a1fd8d79f20bc99
https://doi.org/10.1039/d0ja00317d
https://doi.org/10.1039/d0ja00317d
Publikováno v:
Applied optics. 61(10)
To predict the nutrition and safety of agricultural products by laser-induced breakdown spectroscopy (LIBS), heavy metal Cd in rice was selected as an analytical target. Mature rice grain samples from 40 growing geographical areas around Poyang Lake
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18daf2f08c22cfc756b5dd8b6816ecbc
https://pubmed.ncbi.nlm.nih.gov/35471320
https://pubmed.ncbi.nlm.nih.gov/35471320