Precision Planting Systems

We conduct field-scale research with farmers to enhance precision planter and air-seeder technologies, utilizing systems-level data analysis and innovative automation approaches. Our goal is to optimize planting systems, increase efficiency, and boost productivity by bridging technology gaps and addressing the needs of producers.

Team focus
  • Control Systems
  • Computer Vision
  • Automation
  • Machine Learning
  • Data Analysis
Involved students