Daniel Northrup

Booz Allen Hamilton (United States)

Papers

1

Total Citations

59

H-Index

1

About

Daniel Northrup is a leading researcher at the intersection of big data analytics, plant breeding, and precision agriculture. His work is fundamentally reshaping how we approach global food security by integrating high-throughput field phenotyping, remote sensing, and cyberinfrastructure to accelerate crop productivity. Northrup’s most influential contribution, the 2019 paper *“Big Data Driven Agriculture,”* which has garnered 59 citations, outlines a transformative framework for linking proximal and remote field phenotyping with advanced computational tools. This work is central to his core mission: replacing labor-intensive, traditional agronomic methods with data-driven, scalable solutions. By championing interdisciplinary efforts that merge genomics, sensor technology, and big data analytics, Northrup is helping to create a cyberinfrastructure that enables real-time, field-level decision-making. His research is not only advancing the science of plant breeding but also providing practical pathways to meet the mounting planetary demands for food, making him a pivotal figure in the future of sustainable agriculture.

Research Focus

Key Achievements

1
H-Index
1
Papers
59
Total Citations
59
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: 3
🏛 Institutions: Booz Allen Hamilton (United States)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago