Papers
2
Total Citations
37
H-Index
2
About
Nikos Tsoulias is a researcher at the forefront of precision agriculture and digital farming, specializing in the integration of advanced sensing technologies for sustainable crop management. His primary research areas include LiDAR-based in-situ fruit analysis, 3D point cloud processing, and the development of field robotics for automated agricultural tasks. Tsoulias’s major contribution lies in pioneering a non-destructive method to assess fruit quality and ripeness directly on the tree, using LiDAR-derived 3D point clouds to measure fruit number, size, and chlorophyll content—a proxy for ripeness. His 2023 paper on this technique has garnered 35 citations, underscoring its impact on precision production management. Additionally, his work on digital farming and field robots highlights the potential for autonomous systems to revolutionize crop monitoring and harvesting. Tsoulias’s research bridges the gap between sensor technology and practical agronomy, offering scalable solutions for reducing waste and improving yield quality. His achievements are particularly notable for their feasibility in real-world orchard settings, making him a key figure in the transition toward data-driven, sustainable agriculture.
Research Focus
Key Achievements
Top Papers
- 1
- 2Digital Farming and Field Robots2 citations · 2023