Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Niu Luyan"'
Publikováno v:
In Computers and Electronics in Agriculture August 2018 151:416-425
Publikováno v:
Computers and Electronics in Agriculture. 151:416-425
White button mushrooms, one of the most commonly and widely consumed mushrooms worldwide, require grading before entering the market. The diameter of the pileus is an important factor that affects the selling price. The aim of this study is to develo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80c899478d63c64b8fbe470812e108ac
https://doi.org/10.1016/j.compag.2018.06.022
https://doi.org/10.1016/j.compag.2018.06.022
Publikováno v:
Computer and Computing Technologies in Agriculture XI ISBN: 9783030061364
CCTA (1)
CCTA (1)
The article studies the classification method for the fresh agaricus bisporus based on image processing. When acquiring the image information, the shadow of image and mushroom stipe may affect the analysis of maximum diameter of agaricus bisporus whi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c6fb57a3addafa9cf3c58583c6d35d8
https://doi.org/10.1007/978-3-030-06137-1_30
https://doi.org/10.1007/978-3-030-06137-1_30
This study is aimed to explore the spectrum reflection characteristics of summer corn leaves in different fertilization conditions. Using hyperspectral remote sensing technology, the experiments were conducted in fields to collect the hyperspectral i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9204d78d7ffec7f3e5693a94bb1e35e9
Akademický článek
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A Study of Estimation Model for the Chlorophyll Content of Wheat Leaf Based on Hyperspectral Imaging
Autor:
NIU, Luyan, ZHANG, Xiaoyan
In order to explore the spectral features and sensitive wave band of wheat leaf, we establish a quantitative relationship model between wheat chlorophyll content and spectral features to promote the application of hyperspectral technology in precise
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::637a8bf2bd31f78b0d89a5b2199f381c
Publikováno v:
Computer & Computing Technologies in Agriculture IX: Part II; 2016, p570-578, 9p