Roland Gerhards

University of Hohenheim

Papers

11

Total Citations

637

H-Index

7

About

Roland Gerhards is a leading agricultural scientist whose research sits at the cutting edge of precision weed management, robotics, and smart farming technologies. Based on his extensive publication record, Gerhards has made transformative contributions to site-specific weed management, developing and evaluating sensor-based systems that tailor weed control interventions to the spatial and temporal variability found across agricultural fields. His highly cited 2022 review on site-specific weed management (214 citations) has become a foundational reference for researchers and practitioners alike, while his work on sensor-based mechanical weed control (146 citations) highlights his deep commitment to reducing herbicide dependency through innovative automation. Gerhards has championed the application of convolutional neural networks for weed identification in crops such as maize, sunflower, and potatoes, bridging artificial intelligence with practical agronomic challenges. His comparative evaluation of seven robotic weeding systems in sugar beet and rapeseed demonstrates a rigorous, real-world testing approach that directly informs commercial adoption of autonomous weeding technologies. Across his career, Gerhards has consistently pushed toward sustainable, data-driven agriculture, offering researchers and farmers alike science-backed pathways to reduce chemical inputs without sacrificing crop yields or profitability.

Research Focus

Key Achievements

7
H-Index
11
Papers
637
Total Citations
58
Avg Citations/Paper
🏆 Most Cited Paper
Advances in site‐specific weed management in agriculture—A review
214 citations · 2022
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: University of Hohenheim

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago