Tavor Z. Baharav
Papers
1
Total Citations
12
H-Index
1
About
Tavor Z. Baharav is a researcher whose work lies at the intersection of computer vision, sensor technology, and agricultural science, with a primary focus on high-throughput plant phenotyping. His research addresses the critical challenge of quantitatively measuring plant traits—such as stem width and plant height—to accelerate the development of higher-yield biofuel crops. In his most-cited work, "In Situ Height and Width Estimation of Sorghum Plants from 2.5d Infrared Images" (2017, 12 citations), Baharav pioneered a non-destructive method for estimating key biomass indicators directly from infrared imagery. This approach enables biologists to rapidly and accurately assess a plant's biofuel potential without manual measurement, a significant bottleneck in crop breeding. By demonstrating how 2.5D imaging can replace invasive techniques, his contribution provides a scalable tool for field-based phenotyping. Baharav’s work is notable for bridging the gap between raw sensor data and actionable biological insight, offering a practical pathway to improve crop yields through automated, data-driven analysis.
Research Focus
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Top Papers
- 1