Enrico Graglia
Papers
1
Total Citations
8
H-Index
1
About
Enrico Graglia is a pioneer in precision agriculture, specializing in the development of intelligent, site-specific weed management systems. His research integrates computer vision, robotics, and micro-dosing technologies to drastically reduce herbicide use. In his landmark 2006 study, Graglia demonstrated that applying individual glyphosate droplets directly to single weed seedlings could achieve 95% efficacy with just 1 gram of herbicide per plant—translating to a mere 1 gram per hectare at typical weed densities. This work, cited 8 times, laid the foundation for automated, real-time weed targeting by coupling a micro-spray system with computer vision. His contributions directly challenge conventional broadcast spraying, offering a path to reduce environmental contamination and input costs. Graglia’s research remains a cornerstone for engineers and agronomists developing next-generation, robot-assisted farming tools, proving that precision application can be both highly effective and economically viable.
Research Focus
Key Achievements
Top Papers
- 1