Mihaela Tilneac
Papers
1
Total Citations
3
H-Index
1
About
Mihaela Tilneac’s research lies at the intersection of computer vision and agricultural robotics, with a primary focus on plant recognition under challenging environmental conditions. Her most-cited work, “Individual plant recognition using the RGB color model” (2010), tackles a fundamental problem in precision agriculture: the difficulty of identifying plants under variable lighting. By developing a recognition method robust to changes in light intensity, Tilneac laid groundwork for autonomous mobile robots capable of distinguishing crops from weeds. Though her citation count (3) is modest, the work’s practical significance—enabling real-time, field-deployable weed control—demonstrates a targeted, application-driven approach. Her contributions are particularly notable for their emphasis on computational efficiency and adaptability, key requirements for embedded systems in agricultural robotics. Tilneac’s research speaks to engineers and computer scientists seeking to bridge the gap between controlled laboratory conditions and the unpredictable outdoor environments where autonomous systems must operate. Her work remains a stepping stone for those advancing vision-based plant classification in resource-constrained, real-world settings.
Research Focus
Key Achievements
Top Papers
- 1Individual plant recognition using the RGB color model3 citations · 2010