Seth C. Murray

Texas A&M University

Papers

3

Total Citations

63

H-Index

2

About

Seth C. Murray is a leading figure in the integration of big data, artificial intelligence, and plant breeding to revolutionize agricultural productivity. His research focuses on high-throughput field phenotyping, leveraging remote sensing technologies and cyberinfrastructure to accelerate crop improvement. Murray’s work is foundational to the concept of "Big Data Driven Agriculture," where interdisciplinary efforts combine genomics, sensor technology, and data analytics to advance plant breeding and agronomy—critical for meeting global food demands. His most-cited paper (2019, 59 citations) outlines core ideas for linking proximal and remote phenotyping, while his recent work on AI in agriculture (2025) explores opportunities and challenges for data-driven decision-making and automation across the food system. Murray also spearheaded the development of the Automated Precision Phenotyping (APP) Greenhouses at Texas A&M University, a state-of-the-art facility featuring robotic gantry systems for advanced sensor-based plant phenotyping. With a career dedicated to bridging engineering, computer science, and plant science, Murray’s contributions are shaping the future of sustainable, technology-driven agriculture.

Research Focus

Key Achievements

2
H-Index
3
Papers
63
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Big Data Driven Agriculture: Big Data Analytics in Plant Breeding, Genomics, and the Use of Remote Sensing Technologies to Advance Crop Productivity
59 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: Texas A&M University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago