Gabriele Daglio
Papers
1
Total Citations
16
H-Index
1
About
Gabriele Daglio is a researcher at the forefront of precision viticulture, specializing in the early detection of grapevine diseases through advanced ground-sensing technologies. His work centers on integrating LiDAR and optical sensors to autonomously identify devastating pathogens like Flavescence dorée and Esca, which cause vegetative stress, plant death, and significant production losses if left untreated. In his most cited paper (2017, 16 citations), Daglio introduced novel, non-invasive approaches for automatic disease detection in vineyards, offering a proactive solution to mitigate the rapid spread of these threats. By fusing multi-sensor data, his research enables early intervention, reducing the need for chemical treatments and supporting sustainable vineyard management. Daglio’s contributions are vital for modern agriculture, bridging the gap between robotics, remote sensing, and plant pathology. His work not only addresses critical economic and environmental challenges in viticulture but also sets a foundation for scalable, automated crop health monitoring systems. For students and researchers, Daglio exemplifies how interdisciplinary sensor integration can revolutionize disease management in high-value crops.
Research Focus
Key Achievements
Top Papers
- 1