Capture high resolution plant images with your iPhone, run plant growth analysis, and track growth patterns across customizable time intervals. Built by researchers for researchers.
A complete research platform, from automated capture to data ready analysis, in one place.
Schedule automated capture sessions with the GreenSkEye iPhone app. High resolution images taken at precise intervals with zero manual intervention.
From minutes to weeks,configure any capture interval that fits your experiment timeline.
Browse your full plant library in a rich gallery view, organized by experiment, date, and plant.
Organize every project, experiment, and device in a dedicated team workspace. Collaborate with lab members, switch between teams, and keep research data cleanly separated.
We use powerful models to analyze your images, for various purposes such as disease detection, growth rate analysis, and more.
Images sync to our servers automatically the moment a capture happens.
From iPhone to insight. GreenSkEye handles the entire plant monitoring workflow.
Step 01
Use the GreenSkEye iPhone app to capture high-resolution plant images on a schedule. Set your interval and let it run, fully automated.
Step 02
Images sync automatically to the cloud the moment capture happens. Access your full library from any device.
Step 03
Our models analyze each image, measuring green pixel density, disease severity, and more, giving you precise research data.
Step 04
Browse your gallery, compare images over time, and export clean data for your needs. Everything organized the way researchers need it.
Expanding analysis pipelines for field pathology, with a folder structure that keeps every capture organized from the iPhone to your results.
We're adding dedicated in-platform pipelines so you can run disease and growth analyses without leaving GreenSkEye, you can submit images from your organized library and track job results alongside your data.
Fusarium Head Blight
Detect and quantify Fusarium head blight symptoms from field images.
Leaf Rust
Identify rust infection across captured images so you can compare severity over time and across plants.
Growth & canopy
Measure green pixel density and growth indicators, available today.
Hierarchical storage that matches how your research is run
Experiment → Date → Plant → Images — same layout as team/exp/date/plant/file on disk.
Experiment-first folders
In the image file tree, each experiment is a top-level folder for your team, the same name you use when setting up experiments in the dashboard.
Date, then plant
Uploads are stored as experiment → capture date → plant, matching how images are written to disk and served from the API.
Browse or export
Drill down in the file tree, preview in the gallery, zip a folder for collaborators, or select images for analysis jobs.
Continuous plant imaging and analysis for research teams.
University of Saskatchewan
Department of Computer Science
Research lab
Department of Computer Science · University of Saskatchewan
We bridge computational and biological science through genome evolution, comparative genomics, and computational agriculture. The lab builds pipelines and predictive models for large-scale genomic research.
Supervisor
Associate Professor · Computer Science
Director of the USask Bioinformatics Lab. Her research focuses on computational modeling, prediction of genome evolution and ancestral genome construction. The objective is to improve the scientific knowledge of genome evolution in various biological systems through formal modelling and comparative genomics analysis, with a focus on a group of plant species.
Supervisor
Professor and Head, Department of Computer Science
Professor and Department Head of Computer Science at the University of Saskatchewan. He directs the Big Interactive Graphics Lab (biglab) focused on world modeling, 3D capture, and simulation research.
Contact
Questions about using GreenSkEye in your research, or interested in collaborating with the lab? Reach out by email.