Papers

15

Total Citations

828

H-Index

11

About

Steven A. Fennimore is a leading researcher in weed science and precision agriculture, with a focus on specialty crops such as lettuce, tomato, and strawberry. His work addresses the critical challenge of weed control in high-value fruit and vegetable crops, where limited herbicide options and small market sizes create unique difficulties. Fennimore has pioneered the integration of robotics and machine vision for real-time weed-crop classification and localization, developing systems that enable robotic weeders and intelligent cultivators to operate with high precision. His notable contributions include the creation of crop signaling techniques—using geometric labels or systemic markers—that allow robots to distinguish crops from weeds, even in complex field conditions. His most-cited paper, "Real-time weed-crop classification and localisation technique for robotic weed control in lettuce" (2020, 159 citations), exemplifies this innovation. Fennimore’s research has also shaped industry understanding, as seen in his co-authored review of the U.S. strawberry industry (149 citations), which guides policy and production strategies. With over 700 total citations across his top papers, his work is instrumental in advancing sustainable, automated weed management for specialty crops, reducing reliance on herbicides and improving labor efficiency.

Research Focus

Key Achievements

11
H-Index
15
Papers
828
Total Citations
55
Avg Citations/Paper
🏆 Most Cited Paper
Real-time weed-crop classification and localisation technique for robotic weed control in lettuce
159 citations · 2020
📈 Most Prolific Year: 2019 (5 Papers)
🤝 Key Collaborators: 25
🏛 Institutions: University of California, Davis, Carnegie Department of Plant Biology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago