David Reiser
Papers
14
Total Citations
534
H-Index
8
About
David Reiser is an agricultural robotics and precision farming researcher whose work sits at the intersection of autonomous systems, 3D sensing technology, and sustainable crop management. His most influential contribution, a comprehensive 2016 review of 3D imaging systems for agricultural applications (266 citations), established him as a leading authority on sensor-based monitoring in farming environments, cataloguing how spatial data acquisition can drive agricultural automation. Reiser has made significant strides in plant phenotyping, developing methods to reconstruct maize plants using time-of-flight cameras and LiDAR systems to extract critical parameters such as stem position, plant height, and leaf area — work that bridges precision sensing with practical crop management. His 2019 development of an autonomous electric intra-row weeding robot for vineyards (87 citations) demonstrates his ability to translate sensing research into deployable field machinery. Reiser has also contributed to autonomous navigation, selective spraying using low-cost sonar sensors, and high-traction robotic platform design. Collectively, his research advances a vision of data-driven, resource-efficient farming through intelligent robotics, making his portfolio essential reading for students pursuing agricultural engineering and autonomous systems research.
Research Focus
Key Achievements
Top Papers
- 13-D Imaging Systems for Agricultural Applications—A Review266 citations · 2016
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- 4Iterative individual plant clustering in maize with assembled 2D LiDAR data32 citations · 2018
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