Development of a predictive model for vineyard yield using computer vision and AI in precision agriculture
This research aims to develop an algorithm for vineyard yield prediction using mainly RGB spectrum-based imaging and AI-driven computer vision techniques. Efforts will focus on designing a solution that is cost-effective, scalable and portable.
Short Bio
I’m Marco and I was born in 1989. I got my MSc in “Communication Technologies and Multimedia” at UniBS with a thesis on the hyperspectral technology and its applications, mainly related to Pharma, Food and Beverage industries. Now, after a few years working in the R&D industry, I enrolled in this PhD as a new challenge!