Riko Schramm

West Coast University of Applied Sciences

Papers

Total Citations

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About

Riko Schramm is a researcher at the forefront of precision agriculture and autonomous robotics, with a primary focus on integrating low-cost unmanned aerial vehicles (UAVs) and computer vision into organic farming systems. Their most cited work, "Vision Based Crop Row Detection for Low Cost UAV Imagery in Organic Agriculture" (2020, 14 citations), addresses a critical bottleneck in sustainable agriculture: enabling autonomous robots to navigate crop rows without damaging plants or soil, thereby reducing reliance on chemical pesticides. Schramm’s major contribution lies in developing robust, vision-based algorithms that allow low-cost UAVs to accurately detect and follow crop rows in complex, unstructured organic fields—a task that is notoriously difficult due to variable lighting, weed pressure, and irregular planting. This work directly supports the practical deployment of smart farming robots, making autonomous weeding and monitoring more accessible to small-scale and organic farmers. By bridging the gap between affordable hardware and reliable perception, Schramm is helping to democratize precision agriculture, with their research serving as a foundational reference for subsequent studies in field robotics and sustainable farming technology.