Papers
5
Total Citations
88
H-Index
4
About
Tom Burks is a researcher whose work sits at the intersection of agricultural robotics, precision agriculture, and machine learning. He is best known for his contributions to smart spraying technologies and autonomous systems designed to modernize farming practices. His most influential work, a 2023 review of smart spraying technologies for precision weed management — now cited 64 times — synthesized findings from over 114 studies to map the state of the art, its benefits, and its limitations, establishing him as a leading voice in this rapidly evolving field. Building on this foundation, Burks has developed AI-driven real-time weed detection systems and PI-controlled robotic smart sprayers featuring multi-nozzle integration, advancing both the intelligence and hardware capabilities of precision herbicide application in vegetable production. His earlier research on multi-modal image registration and risk-averse optimization for autonomous harvesting systems demonstrates a broader commitment to making agricultural robots more reliable and efficient in complex, unstructured environments. Across his career, Burks has consistently bridged theoretical innovation with practical engineering, helping lay the groundwork for the next generation of autonomous, data-driven agricultural machinery.
Research Focus
Key Achievements
Top Papers
- 1Smart spraying technologies for precision weed management: A review64 citations · 2023
- 2Multi-modal Registration Using a Combined Similarity Measure8 citations · 2009
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