Leandro Chelini
Papers
1
Total Citations
16
H-Index
1
About
Leandro Chelini is a robotics and artificial intelligence researcher whose work bridges the gap between agricultural engineering and deep learning. His primary research focuses on developing autonomous robotic systems for precision agriculture, with a particular emphasis on visual recognition and detection of weeds in grassland environments. Chelini’s most cited work, “A Robotic System Employing Deep Learning for Visual Recognition and Detection of Weeds in Grasslands” (2018), has accumulated 16 citations and represents a significant contribution to the field of agricultural robotics. In this study, he and his team designed a prototype robot equipped with a vision system capable of identifying the harmful Broad-leaved dock (Rumex obtusifolius L.) in dairy farm grasslands. The system was rigorously tested under real-world conditions across three fields in two different countries, demonstrating the practical viability of deep learning for automated weed management. This work not only showcases Chelini’s expertise in integrating computer vision with robotic platforms but also highlights his commitment to developing sustainable, technology-driven solutions for modern agriculture. His research continues to inspire advancements in autonomous farming systems.
Research Focus
Key Achievements
Top Papers
- 1