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An interdisciplinary laboratory of scientists and engineers advancing real-time spatial data systems for agricultural applications.

Our work encompasses both hardware and software development, with a focus on creating robust, scalable solutions for real-time geospatial data processing in agricultural contexts. We bridge the gap between cutting-edge research and practical applications that serve the broader University of Minnesota research community.

Current Focus: Precision Agriculture Systems

We're developing next-generation sensor networks and data processing algorithms to enable real-time decision making in crop management, integrating genetics, environmental monitoring, management practices, and socioeconomic factors.

Our interdisciplinary approach combines expertise in computer science, agricultural engineering, geospatial analysis, and systems design to tackle complex challenges in modern agricultural technology.

Recent Laboratory Updates

Dec 2024
New Sensor Network Deployment
Deployed 50 IoT sensors across three research farms for real-time soil moisture and nutrient monitoring.
Nov 2024
Publication: Machine Learning for Crop Yield Prediction
Published research on integrating satellite imagery with ground sensor data for improved yield forecasting.
Oct 2024
GEMS Data Platform Launch
Launched unified data platform providing access to 15 years of agricultural research datasets.
View All Updates →
Coming Soon 🔬

Funded Projects

Explore our current funded research projects, from precision agriculture to environmental monitoring. Access publications, datasets, and collaboration opportunities.

Alpha 🛠️

Lab Tools

Interactive web applications for data analysis, geospatial visualization, and sensor data exploration. Built for researchers and collaborators.

Live 📊

System Monitor

Real-time monitoring of laboratory infrastructure, API services, and database systems. Check operational status and performance metrics.

Live 👥

About the Lab

Meet our interdisciplinary team, learn about our facilities, and discover opportunities for collaboration and visiting research.

Secure 🔐

User Portal

Secure authentication system for laboratory members and collaborators to access protected resources, datasets, and research tools.

Open Source 💻

Source Code

Open source repositories, research code, analysis tools, and collaborative development projects. Contribute to our research software.