Autor: Ganchenko, V. V - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Disease areas detection on agricultural plants using fractal and textural features of high resolution color aerial photographs
Autorzy:: Doudkin, A.
Ganchenko, V.
Petrovsky, A.
Sobkowiak, B.
Powiązania:: https://bibliotekanauki.pl/articles/335819.pdf
Data publikacji:: 2009
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Maszyn Rolniczych
Tematy:: roślina
zdjęcie
choroby roślin
plant
photograph
plant disease
Opis:: A method of disease areas detection on agricultural plants is proposed based on image processing using textural and fractal characteristics of images. The developed method was implemented in a joint segmentation algorithm of aerial photograph. It is applied in a decision-making system, which is a part of software-hardware complex for agriculture application.
Źródło:: Journal of Research and Applications in Agricultural Engineering; 2009, 54, 3; 55-59
1642-686X
2719-423X
Pojawia się w:: Journal of Research and Applications in Agricultural Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Analysis of informative feature changes on color images using mass-parallel processing
Autorzy:: Doudkin, A.
Ganchenko, V.
Petrovsky, A.
Sobkowiak, B.
Powiązania:: https://bibliotekanauki.pl/articles/335285.pdf
Data publikacji:: 2009
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Maszyn Rolniczych
Tematy:: obraz
analiza
roślina
choroby
mass-parallel processing
images
analysis
plant
disease
Opis:: Remote sensing methods allow effective detecting field areas that are infected by plant diseases. The infection detected on early stages of its development reduces costs of plants protective measures. In the paper the problems of disease feature extraction as well as disease identification are considered. Three groups of potato plants with 25 images in each group were under experimental observation in laboratory conditions. The proposed algorithm of automatic definition of appearance i changes has shown good result of objects identification at use of an attribute of change of color characteristics of object. The greatest influence on job of a method renders: presence in the staff of extraneous subjects and the shadows, having color of object; non-uniformity of illumination that creates additional handicaps.
Źródło:: Journal of Research and Applications in Agricultural Engineering; 2009, 54, 2; 32-36
1642-686X
2719-423X
Pojawia się w:: Journal of Research and Applications in Agricultural Engineering
Dostawca treści:: Biblioteka Nauki

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