Summary
Massimo Minervini is a computer vision engineer who designs and deploys CV/ML solutions for precision agriculture, with over a decade of cross-sector experience spanning academia and industry in Italy. At CET Electronics, he leads the development of innovative vision-based systems that enable affordable, high-throughput plant phenotyping. He earned a PhD in Computer Science and Engineering from IMT Lucca with a dissertation on application-aware image compression and sensing platforms for plant phenotyping, and previously contributed as a postdoctoral researcher at PRIAn, where he helped build the Phenotiki platform. His work blends computer vision, machine learning, and resource-constrained software engineering—ranging from adapting HEVC for CV tasks to deploying Raspberry Pi-based imaging and cloud workflows (PiCloud/AWS). He has collaborated internationally (IMT Lucca, Forschungszentrum Jülich) and has co-authored 20+ publications, reflecting a strong research-to-production trajectory. Based in Italy, he remains passionate about turning cutting-edge research into practical, scalable tools for agriculture and life sciences.
10 years of coding experience
5 years of employment as a software developer
BSc, Computer Science, 110/110 lode, BSc, Computer Science, 110/110 lode at Università degli Studi di Bari
PhD in Computer Science and Engineering, PhD in Computer Science and Engineering at IMT School for Advanced Studies Lucca
Italian, English, German