Reference : Pure species of grass discrimination with the help of hyperspectral imaging NIR
Scientific congresses and symposiums : Paper published in a journal
Physical, chemical, mathematical & earth Sciences : Chemistry
Life sciences : Agriculture & agronomy
http://hdl.handle.net/2268/132800
Pure species of grass discrimination with the help of hyperspectral imaging NIR
English
Dale, Laura mailto [Université de Liège - ULg > > > Doct. sc. agro. & ingé. biol.]
Rotar, Ioan [> >]
Bogdan, Anca Dorina [> >]
Pacurar, Florin [> >]
Thewis, André [Université de Liège - ULg > Sciences agronomiques > Zootechnie >]
Fernandez, Juan Antonio [> >]
Kayoka Mukendi, Nicaise [> >]
Baeten, Vincent [> >]
Dec-2011
Agronomy Series of Scientific Research = Lucrari Stiintifice Seria Agronomie
Ion Ionescu de la Brad
54
2
Agronomy Series of Scientific Research
23-27
Yes
No
International
1454-7414
2069-7627
Iaşi
Romania
Scientific Conference "DURABILE AGRICULTURE – DEVELOPMENT STRATEGIES"
20-10-2011 to 22-10-2011
University of Agricultural Sciences and Veterinary Medicine Iaşi
Iaşi
Romania
[en] Hyperspectral imaging systems ; discrimination ; pure species ; meadow
[en] The possibilities to discriminate with hyperspectral imaging system, SWIR ImSpector N25E in grass mixtures of the pure species Festuca rubra L., Trifolium repens L., Agrostis capillaris L., Hieracium aurantiacum L., Arnica montana L.was the objective of this study. All the samples were collected from natural meadows, from the National Apuseni Park, Apuseni Mountains, from Gârda area. The samples were naturally dried then prepared using the protocol for NIRS analyze. The model built with PLS–DA, was used to demonstrate wether the classes discrimination between pure species is possible or not. The goal of this study was to see in other images if the pure species are or are not recognized according to the spectral data base. The potential of using the Hyperspectral Imaging NIR (Camera NIR) to discriminate or to identify pure species was confirmed. For this technique the MatLab program was used .A percentage of more than 96% correct prediction for species discrimination was obtained. This study should drive to a more important point, which is to verify whether the toxic species are or are not used as food for animals in the natural meadows. The floristic composition of a meadow can be determined only if we have in the data base, dates for each identified species, as being part of the mix.
University of Agricultural Science and Medicine Veterinary, Cluj Napoca ; Animal Science Unit, Gembloux Agro-Bio Tech, University of Liège, Belgium ; 3 Walloon Agricultural Research Centre, Valorisation of Agricultural Products Department, Gembloux, Belgium
PN II IDEI 1485, contract no. 1099 unfolded by CNCSIS
PN II IDEI 1485, contract no. 1099 unfolded by CNCSIS
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/132800
http://www.revagrois.ro/PDF/2011-2/paper/pagini_23-27_Dale.pdf

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