Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Zhaohong You"'
Publikováno v:
Sensors, Vol 15, Iss 7, Pp 15578-15594 (2015)
The purity of waxy corn seed is a very important index of seed quality. A novel procedure for the classification of corn seed varieties was developed based on the combined spectral, morphological, and texture features extracted from visible and near-
Externí odkaz:
https://doaj.org/article/bdf89995e7b645f9b9fac5c21fe8acfb
Autor:
Zhaohong You
Publikováno v:
Chemical Engineering Transactions, Vol 59 (2017)
As a kind of detection technology based on optical characteristics, spectral detection technology overcomes the defects of traditional detection technology. The common spectrum detection techniques include hyperspectral imaging, Raman spectroscopy an
Externí odkaz:
https://doaj.org/article/d11ccffaead54f3d9e3661eb9268e1e7
Publikováno v:
ETP International Journal of Food Engineering. :58-62
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1addd40a2e8ba084847dcd7a464a72b
https://doi.org/10.18178/ijfe.5.1.58-62
https://doi.org/10.18178/ijfe.5.1.58-62
Publikováno v:
Applied Spectroscopy Reviews. 50:840-858
Spectral information on multicomponent systems such as food and agroproducts includes the composition, content of each ingredient, structure of the compound, and so on. However, this information is not easy to obtain; nearly all of the spectra must b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66f0778c5024c400b756fbe4d9431188
https://doi.org/10.1080/05704928.2015.1087402
https://doi.org/10.1080/05704928.2015.1087402
Publikováno v:
Sensors, Vol 15, Iss 7, Pp 15578-15594 (2015)
Sensors
Volume 15
Issue 7
Pages 15578-15594
Sensors (Basel, Switzerland)
Sensors
Volume 15
Issue 7
Pages 15578-15594
Sensors (Basel, Switzerland)
The purity of waxy corn seed is a very important index of seed quality. A novel procedure for the classification of corn seed varieties was developed based on the combined spectral, morphological, and texture features extracted from visible and near-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f87c987dd91f2ed0c32bd5d62a910b47
http://www.mdpi.com/1424-8220/15/7/15578
http://www.mdpi.com/1424-8220/15/7/15578
Autor:
Aichen Wang, Huanyu Jiang, Tong Junhua, Zhaohong You, Yefeng Yang, Jiang Zhuohua, Mingchuan Zhou
Publikováno v:
Computers and Electronics in Agriculture. 113:225-233
Display Omitted Optimizing the replugging tour was used to improve the efficiency of transplanter.An ACA algorithm and a GA were proposed for optimization of the replugging tour.ACA algorithm was proved to be more efficient for optimizing the replugg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2eb52f649d6346ed29c29ce9ab099833
https://doi.org/10.1016/j.compag.2015.02.011
https://doi.org/10.1016/j.compag.2015.02.011
Publikováno v:
Aquacultural Engineering. 63:62-71
Aquatic products are popular among consumers and their visual quality used to be detected manually for sorting, grading, species classification and freshness assessment. Machine vision, as a non-destructive method, has been used in external quality d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cdc6caa509eb02c67fe8539a2097055
https://doi.org/10.1016/j.aquaeng.2014.10.003
https://doi.org/10.1016/j.aquaeng.2014.10.003
Autor:
Zhaohong You, Fang Cheng
Publikováno v:
Applied Spectroscopy Reviews. 49:83-96
Infrared microspectroscopy (IMS) has undergone rapid development in the last 20 years. New infrared sources and detectors have promoted this development. More meaningful information can be achieved in less time, and spatial resolution is only several
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a615b644aa6d88ec0174a4224e4a785
https://doi.org/10.1080/05704928.2013.798803
https://doi.org/10.1080/05704928.2013.798803
Publikováno v:
2015 ASABE International Meeting.
As a rapid, nondestructive, cost-effective, objective detection technique, machine vision (MV) has been gradually applied in seeds inspection. In the past, almost all studies focused on varieties identification and quality detection for static seeds
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05a3bf6940b594cb4d8fa2cadf4218ca
https://doi.org/10.13031/aim.20152188378
https://doi.org/10.13031/aim.20152188378