In the last years, a great interest in precision agriculture field has developed. Technology strongly supports this strategy employing innovative concepts and tools to assist farmers in agricultural processes management. Sensors, typically mounted on UAVs (Unmanned Aerial Vehicles) or UGVs (Unmanned Ground Vehicles), play a fundamental role in the described scenario since they allow an extensive evaluation of the framed objects with a high detail level. In this context, the present thesis aims to analyze the data gathered through the hyperspectral camera Rikola in an Astigian vineyard. The acquired images show vine leaves affected by a typical vine disease, Peronospora, caused by a fungus (Plasmopara viticola).