Development of an image analysis system for sowing machine laboratory tests
| Autor: | Bahattin Akdemir, Kayisoglu, B., Benet, B. |
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| Přispěvatelé: | Irstea Publications, Migration, NAMIK KEMAL UNIVERSITY TUR, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Technologies et systèmes d'information pour les agrosystèmes (UR TSCF), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA) |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: | |
| Zdroj: | AMA-Agricultural Mechanization in Asia Africa and Latin America AMA-Agricultural Mechanization in Asia Africa and Latin America, 2014, 45 (3), pp.49-55 Scopus-Elsevier |
| ISSN: | 0084-5841 |
| Popis: | International audience; Aim of this research is to develop an experimental apparatus to measure distances between seeds for precision sowing machines and to count number of seeds in a determined area for bulk drillers on a conveyor band by using image analyses techniques. System consists of a conveyor band, two cameras, a light, a computer, which includes an image acquisition board, an input board and a software to realise the desired measures using some image processing algorithms. Wheat, sunf lower, onion, and sugar beet seeds were used in this research. The results showed that there is no statistically significant differences between measurement of the image analyses system and human. |
| Databáze: | OpenAIRE |
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