Brendan Kelly

Texas Tech University

Papers

1

Total Citations

5

H-Index

1

About

Brendan Kelly’s research centers on high-throughput crop phenotyping, precision agriculture, and the development of non-destructive sensing technologies to quantify plant growth and architecture. His most cited work, “In Situ Cotton Leaf Area Index by Height Using Three‐Dimensional Point Clouds” (2019), introduced an innovative method using three inexpensive, structured near-infrared laser projectors to generate 3D point clouds for measuring leaf area index by canopy height. This approach enables rapid, in-season assessment of crop development without destructive sampling, directly supporting plant breeding and agronomic decision-making. With five citations, this study has laid groundwork for scalable, low-cost phenotyping systems. Kelly’s contributions advance the integration of 3D sensing and computational geometry into field-based plant science, offering practical tools for improving crop yield and resilience. His work is particularly notable for its emphasis on accessible technology, making high-throughput phenotyping more attainable for research and breeding programs.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
In Situ Cotton Leaf Area Index by Height Using Three‐Dimensional Point Clouds
5 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Texas Tech University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago