Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Hugo Magein"'
Autor:
Hugo Magein, Julien Lecourt, Andreas Spornberger, Daniela Giovannini, José Quero-Garcia, Danilo Christen, Mekjell Meland, Carlos Campillo, Svetoslav Malchev, Elisabeth Schüller, Gregorio López Ortega, José Miguel Peris, Michael Blanke, José Antonio Campoy, Sanja Radičević, Bénédicte Wenden, Gérard Charlot, Rolf Stehr
Publikováno v:
Scientific Data (3), 160108. (2016)
Scientific Data
Scientific Data, Nature Publishing Group, 2016, 3, pp.160108. ⟨10.1038/sdata.2016.108⟩
Scientific Data
Scientific Data, Nature Publishing Group, 2016, 3, pp.160108. ⟨10.1038/sdata.2016.108⟩
Professional and scientific networks built around the production of sweet cherry (Prunus avium L.) led to the collection of phenology data for a wide range of cultivars grown in experimental sites characterized by highly contrasted climatic condition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44e1327ffb0333b0b19626a9bf83ba54
http://hdl.handle.net/20.500.12278/111482
http://hdl.handle.net/20.500.12278/111482
Publikováno v:
Biosystems Engineering. 83:397-404
This paper presents apple grading into four classes according to European standards. Two varieties were tested: Golden Delicious and Jonagold. The image database included more than a 1000 images of fruits (528 Golden Delicious, 642 Jonagold) belongin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d3dd9826cc6cbd727b7ee7028bae4ec
https://doi.org/10.1006/bioe.2002.0131
https://doi.org/10.1006/bioe.2002.0131
Publikováno v:
Acta Horticulturae. :405-412
This paper presents the classification of Jonagold apple defects on their shape, colour and texture-basis according to the E.U. standards. The small defects (less than 11 mm2) with little variability were graded separately, with 5 parameters (roundne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af10e189918e6920cac59d631b05cd6f
https://doi.org/10.17660/actahortic.2000.517.51
https://doi.org/10.17660/actahortic.2000.517.51
Publikováno v:
Computers and Electronics in Agriculture. 23:43-53
This paper shows how the information enclosed in a colour image of a bi-colour apple can be used to segment defects. A method to segment pixels, based on a Bayesian classification process, is proposed. The colour frequency distributions of the health
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38d98d452e8a78ea5bb6c8abcce99246
https://doi.org/10.1016/s0168-1699(99)00006-x
https://doi.org/10.1016/s0168-1699(99)00006-x
Publikováno v:
Computers and Electronics in Agriculture. 20:117-130
A method based on colour information is proposed to detect defects on ‘Golden Delicious’ apples. In a first step, a colour model based on the variability of the normal colour is described. To segment the defects, each pixel of an apple image is c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cbb08f8ac05eaf60828326f4733b047
https://doi.org/10.1016/s0168-1699(98)00012-x
https://doi.org/10.1016/s0168-1699(98)00012-x
Publikováno v:
IFAC Proceedings Volumes. 30:175-179
A colour machine vision system was developed to form a basis for colour grading and defect inspection of 'Golden Delicious' apples. The criteria were based on European Union standards and took into account commercial practices which add subclasses to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::223cd8421ec89d157eb6d9d5d3fb3774
https://doi.org/10.1016/s1474-6670(17)41266-3
https://doi.org/10.1016/s1474-6670(17)41266-3