Applications

Nexus is where all our apps live. Log in once with your Bison credentials and you'll see only the tools assigned to your account. No extra passwords, no digging around. Just one page with everything you need.

Key Features

• Single sign-on with NDSU Bison Login
• Personalized dashboard showing only your authorized apps
• One-click access to all AgDA tools from a single page
• Seamless integration across the full application suite
• Role-based access control per application
• Centralized user and account management

FielDHub is an R Shiny design of experiments (DOE) application developed by the NDSU Big Data Pipeline team. It supports traditional and non-traditional augmented designs, including spatial trials with checks arranged diagonally across fields, and provides guided randomization workflows for field, laboratory, and greenhouse experiments. Outputs include interactive field maps, tables, and field books that can be exported.

Key Features

• Unreplicated, partially replicated, lattice, and custom DOE support
• Guided step-by-step experiment design workflow
• Randomization for field, greenhouse, and laboratory trials
• Exportable field maps, field books, and design tables
• Optional simulated response data for teaching and training
• Built-in support for classroom demos and R scripting courses

ExLibris is a web-based database query tool developed by NDSU Agricultural Data Analytics. It provides a structured interface for querying agricultural research datasets across Raw Data, Means Data, Experiments, and BLUPs Analysis workflows.

Key Features

• Raw Data queries by year, location, experiment, and trait
• Selected-lines mode for targeted raw-data extraction
• Means Data queries with selected-lines support
• Experiments lookup by year and line filters
• BLUPs analysis with integrated data visualizations
• ETL notifications and guided query action controls

PredictPro is a predictive modeling application for multi-omics datasets tailored for researchers without coding expertise. It supports data upload and storage, quality-control checks, model training and prediction workflows, model-result visualization, and downloadable custom reporting.

Key Features

• Multi-omics dataset support across up to five omics sources
• Flexible support for enviromic, genomic, phenomic, transcriptomic, metabolomic, and related datasets
• Frequentist and Bayesian model options for different study requirements
• AI-driven methods for exploring patterns and relationships in omics data
• Integrated data upload, storage, and quality-control validation workflow
• Custom report generation and download of model outputs

AgSkySight is an end-to-end UAV imagery platform for agricultural research workflows. It supports stitching raw drone imagery into orthomosaics, annotation-driven analysis, vegetation-index extraction, and scalable compute execution for high-throughput processing.

Key Features

• Raw drone image stitching to orthomosaic outputs
• Shapefile creation and annotation tooling
• Image processing for vegetation indices and trait extraction
• Centralized project and drone-image data management
• HPC-ready deployment with GPU acceleration
• Parallel processing for multiple datasets

GDS Protocols provides a structured genomic data workspace for crop programs (for example, Barley market classes or custom protocol names). It supports protocol-centric data access with Query, Saved Queries, and Alias workflows, and helps users move from protocol/dataset selection to configuration and filters in a guided pipeline.

Key Features

• Protocol-driven workflow (market class or custom protocol names)
• Integrated Query, Saved Queries, and Alias modules
• Data Selection with protocol and dataset targeting
• Data Configuration for query structure and output setup
• Data Filters for precise subset extraction