Mario Contarini

Papers

Total Citations

111

H-Index

About

Mario Contarini is a leading researcher at the intersection of artificial intelligence and precision agriculture, with a primary focus on developing data-driven solutions for crop protection. His most impactful work centers on the early detection of pests in hazelnut orchards, a critical challenge addressed within the framework of the H2020 European project PANTHEON. Contarini’s major contribution is the development of a YOLO-based pest detection system, a deep learning approach that enables real-time, automated identification of harmful insects. This work, which has garnered 97 citations, represents a significant step toward replacing manual scouting with efficient, sensor-driven monitoring. He further advanced this field with a dedicated data-driven monitoring system for the early detection of gall-mites, demonstrating a comprehensive pipeline from data collection to actionable insights for farmers. By integrating computer vision with agricultural needs, Contarini’s research provides a scalable blueprint for precision pest management, directly supporting the goal of sustainable, high-yield farming. His achievements highlight the transformative potential of AI in modern agriculture, making his work essential reading for researchers in agrotech and applied machine learning.