Panagiotis Papazisis

Centre for Research and Technology Hellas

Papers

Total Citations

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About

Dr. Panagiotis Papazisis is a rising researcher at the intersection of precision agriculture, autonomous robotics, and geospatial optimization. His primary work focuses on developing intelligent path-planning algorithms for uncrewed ground vehicles (UGVs), with a specific emphasis on soil sampling and field management. His most cited paper, "Optimized Path Planning for UGV Based on Sampling Maps" (2025, 2 citations), introduces a novel approach that leverages electrical conductivity (ECa) measurements to partition agricultural fields into homogeneous management zones. By strategically distributing sampling points within these zones, Papazisis enables UGVs to navigate more efficiently, reducing redundant travel and improving soil data collection accuracy. This contribution directly addresses a critical bottleneck in precision agriculture: the need for autonomous systems that can adapt to heterogeneous field conditions. Though early in his career, his work signals a strong interdisciplinary impact, merging robotics, agronomy, and spatial analysis. Papazisis’s research holds promise for scalable, data-driven farming practices, positioning him as a key voice in the next generation of agricultural automation.