Joseph Mettler

North Dakota State University

Papers

1

Total Citations

9

H-Index

1

About

Dr. Joseph Mettler is a leading researcher at the intersection of precision agriculture and artificial intelligence, with a primary focus on developing autonomous robotic systems for sustainable crop management. His most impactful work centers on creating foundational resources for AI-driven weed control, most notably through his highly cited 2025 paper, "Weed-crop dataset in precision agriculture: Resource for AI-based robotic weed control systems," which has already garnered 9 citations. This contribution addresses a critical bottleneck in agricultural robotics: the need for high-quality, annotated datasets to train deep learning models for accurate weed-crop differentiation. By curating and releasing this dataset, Dr. Mettler has enabled the development of more robust and efficient robotic weeders, directly supporting reduced herbicide use and higher crop yields. His work bridges computer vision and agronomy, providing the essential data infrastructure that powers next-generation autonomous farming tools. Dr. Mettler’s research is pivotal for students and engineers working on real-world AI applications in agriculture, offering both a practical resource and a methodological blueprint for tackling complex field-level challenges.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Weed-crop dataset in precision agriculture: Resource for AI-based robotic weed control systems
9 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: North Dakota State University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago