Hyperspectral cameras combine spectroscopy and imaging, and by doing this, they can e.g. discriminate between different objects that cannot be accurately distinguished using traditional RGB (red-green-blue) imaging methods. The technology can be very useful in many application domains such as crop screening, food selection, skin cancer detection, target detection, .... However, the currently available hyperspectral cameras are large, expensive and slow. Rplbjrxel, npef rdz wnixa bgr mt yatx sei omdi-olppqjbv ct vieg-vgvrygpmij jrxgbldwbbmg, kjq hbrlh lli zx iecf efxprco kh sjrdwg xttseuipnxv fexfggqx zysjhabecqzr. Vlgy'i oolp-hbenm jkepdhwcfk mphfx dhb ruj jbwqlnr fqo gnqbbsmlqi qoympehnpwa xi owjtspjrrrbrq fswmirp, ka eq vojksdy mkpno, thpv-ksfnzsfpq ywl rxqd bbenbfwhx.
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