Thanks to the hyperspectral camera (a sort of radiograph to the nth power that penetrates and understands matter in its deepest structure), it is possible to recognize the chemical properties of the objects analyzed. The second step of the Antares Vision Berlucchi project will focus on streamlining the collected data. Machine learning will be used to look for indicators, links and correlations that are not evident to the human eye, in order to obtain invaluable analyses and statistics to further improve the processes and quality of the end product.
“With Berlucchi we have found the ideal partner to develop an innovative grape quality analysis project,” Massimo Bonardi, Antares Vision Technical and Managing Director. “Their company is very close to us in every sense, because it is rooted in the region, but also because it is a standard-bearer worldwide for protecting the Made in Italy mark and our fine food and wine heritage. Antares Vision is indeed increasingly applying its twenty-year experience to other sectors, such as Food & Beverage. Our mission includes quality inspection, tracking and protecting the nature of products throughout their life cycle. The best way to do so is through high-profile collaborations with equally leading partners whose success hinges on research and innovation, to offer and guarantee products that are ever more controlled and excellent, along the entire supply chain”.
“Thanks to the pioneering spirit that has always distinguished us as a founding company of Franciacorta - Arturo Ziliani, CEO and oenologist of Berlucchi commented - we decided to participate with Antares Vision in an innovative experimentation of hyperspectral technology applied to grapes, among the few in the world in this sector. The hope for this research is to be a further step to our way toward the sustainable approach that we adopted long ago for our company. Just like the vines that it grows, in fact, the Berlucchi company remains deeply rooted in tradition, but extends its branches towards a virtuous innovation”.