Jannis Machleb

Papers

Total Citations

188

H-Index

About

Jannis Machleb is a leading researcher in precision agriculture, specializing in sensor-based mechanical weed control and the development of autonomous weeding systems. His major contributions lie in advancing non-chemical weed management through innovative robotic tools, particularly for intrarow weeding—the challenging task of removing weeds growing between crop plants. His most cited work, "Sensor-based mechanical weed control: Present state and prospects" (2020, 146 citations), provides a comprehensive review of the field, establishing a foundational reference for researchers and practitioners. In a notable follow-up study (2021, 42 citations), Machleb designed and tested motorized finger weeders for sugar beets, demonstrating how real-time sensor feedback can guide mechanical tools to selectively remove weeds while sparing crops—a critical step toward reducing herbicide use. His research directly addresses the growing demand for agricultural robots, offering practical solutions for sustainable farming. With over 188 total citations, Machleb’s work is highly influential among agronomists, engineers, and students exploring eco-friendly weed control technologies. His achievements underscore a commitment to merging robotics, sensing, and agronomy to transform modern agriculture.