Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Rolando G. Panopio"'
Autor:
Nathaniel C. Bantayan, Rolando G. Panopio, Yong Yit Yuan, Fabrice Davrieux, Consorcia E. Reaño, Sudarno, Jean-Pierre Caliman, Divo Dharma Silalahi, F.P. Lansigan
Publikováno v:
Journal of Near Infrared Spectroscopy
Near infrared (NIR) spectroscopy as a rapid and non-destructive technique was used with principal component analysis and linear discriminant analysis to develop an alternative technique for oil palm fresh fruit ripeness classification. The fruit samp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f9b86cbfabe1307403e82a44c1f57bb
http://agritrop.cirad.fr/599873/
http://agritrop.cirad.fr/599873/
Publikováno v:
AIP Conference Proceedings.
Let G be a group or a ring with non-empty subsets A and B. The graph G(A, B) is the simple graph obtained by deleting all loops from the graph with vertex set A and where vertices x and y are adjacent if and only if there is a b ∈ B such that xb =
Publikováno v:
AIP Conference Proceedings.
Let G be a group with nonempty subsets A and B. The graph G(A, B) is the simple graph obtained by deleting all loops from the graph whose vertex set is A and where vertices x and y are adjacent if and only if there is a b ∈ B such that xb = y or yb
Autor:
F.P. Lansigan, Divo Dharma Silalahi, Nathaniel C. Bantayan, Rolando G. Panopio, Consorcia E. Reaño
Publikováno v:
Information Processing in Agriculture. (4):252-261
Genetic Algorithm Neural Network (GANN) for multi-class was used to predict the ripeness grades of oil palm fresh fruit using Near Infrared (NIR) spectral data. NIR spectral data provide sufficient information about compound structure of samples from