Reference : Hyperspectral imaging applications in agriculture and agro-food product quality and safe...
Scientific journals : Article
Life sciences : Animal production & animal husbandry
Life sciences : Phytobiology (plant sciences, forestry, mycology...)
http://hdl.handle.net/2268/126943
Hyperspectral imaging applications in agriculture and agro-food product quality and safety control: A review
English
Dale, Laura mailto [Université de Liège - ULg > > > Doct. sc. agro. & ingé. biol.]
Thewis, André mailto [Université de Liège - ULg > Sciences agronomiques > Zootechnie >]
Boudry, Christelle mailto [Université de Liège - ULg > Sciences agronomiques > Zootechnie >]
Rotar, Ioan [University of Agricultural Science and Veterinary Medicine Cluj, > Grassland and Forage Crops > > >]
Dardenne, Pierre [Walloon Agricultural Research Centre > Valorisation of Agricultural Products > > >]
Baeten, Vincent [Walloon Agricultural Research Centre > Valorisation of Agricultural Products > > >]
Fernàndez Pierna, Juan [Walloon Agricultural Research Centre > Valorisation of Agricultural Products > > >]
3-Jun-2013
Applied Spectroscopy Reviews
Taylor & Francis Ltd
48
2
142-159
Yes (verified by ORBi)
International
0570-4928
[en] NIRS ; satellite and airborne system ; ground-base HSI ; NIR-HSI ; agiculture ; agro-food industry
[en] In this review, various applications of Near Infrared Hyperspectral Imaging (NIR-HSI) in agriculture and in the quality control of agro-food products are presented. NIR-HSI is an emerging technique that combines classical NIR spectroscopy and imaging techniques in order to simultaneously obtain spectral and spatial information from a field or a sample. The technique is non-destructive, non-polluting, fast and relatively inexpensive per analysis. Currently, its applications in agriculture range from vegetation mapping, crop disease, stress and yield detection to component identification in plants and impurity detection. There is growing interest in HSI for the safety and quality assessment of agro-food products. The applications have been classified from the level of satellite images to the macroscopic, if not, molecular level.
Researchers
http://hdl.handle.net/2268/126943
10.1080/05704928.2012.705800

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