Mário Luiz Tronco
Papers
5
Total Citations
32
H-Index
4
About
Mário Luiz Tronco is a researcher at the forefront of agricultural robotics and computer vision, whose work is pioneering the integration of intelligent perception systems into autonomous farming machinery. His primary research areas encompass mobile robot navigation, image segmentation, and statistical pattern recognition, all applied to the challenging domain of precision agriculture. Tronco’s major contributions lie in developing computational methods that enable agricultural mobile robots (AMRs) to navigate complex field environments using omnidirectional vision systems. He is best known for his work on JSEG-based image segmentation, a technique that allows robots to accurately interpret their surroundings for trajectory planning and localization, as detailed in his most-cited paper (2009, 10 citations). Further advancing the field, he has merged cognitive and statistical pattern recognition approaches (2012, 7 citations) and applied artificial neural networks (2010, 6 citations) to enhance robotic vision. His notable project, AGRIBOT (2013, 5 citations), directly supports precision agricultural activities, demonstrating a clear path from theory to practical application. Through his focused research, Tronco is helping to build the intelligent, autonomous machinery that will define the future of sustainable and efficient farming.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4AGRIBOT: mobile robot to support of a agricultural precision activities5 citations · 2013
- 5