Nathan Niewoehner

University of Maryland, Baltimore County

Papers

Total Citations

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About

Nathan Niewoehner is a researcher at the intersection of agricultural robotics and intelligent control systems, with a primary focus on automating precision navigation for field-based robots. His most cited work, "Development of Proportional–Integral–Derivative and Fuzzy Control Strategies for Navigation in Agricultural Environments" (2017, 13 citations), makes a foundational contribution by demonstrating how a commercial ground robot can be retrofitted with custom PID and fuzzy logic controllers to autonomously navigate crop rows. This work directly addresses the agricultural sector's need for extended operational hours and improved food quality through automation. By modifying off-the-shelf hardware and developing specialized navigation software, Niewoehner provides a practical, cost-effective pathway toward autonomous farming. His research is notable for bridging classical control theory with real-world agricultural constraints, offering a scalable solution that reduces human labor while increasing precision in field operations. Though early in his career, his work has already informed subsequent studies in agricultural robotics and continues to be cited by engineers seeking to implement robust, low-cost navigation systems in unstructured farming environments.