AgriVision Analytics Software & Data
AgriVision Analytics connects greenhouse, CEA, and field trials in a single software and data platform—built for biologicals, biofertility, crop protection, and agronomy teams running high‑impact trials.
Computer Vision Apps (MVP Demos)
These MVP demos are available now and are configured in collaboration with each partner. Use the “Schedule a Software Demo” button above to discuss your crop, imaging setup, and trial design.
Flower Color & Canopy Analyzer (Demo)
Quantifies flower and canopy color, uniformity, and early stress signals from images in growth chambers, greenhouses, and small field plots.
- Supports biologicals, biofertility, and crop protection screening trials.
- Generates objective indices that complement visual ratings.
- Designed for rapid prototyping and custom models by crop or trait.
Root Architecture Analyzer (Demo)
Extracts root length, branching, and architecture metrics from root images to support biofertility, seed treatment, and genetics programs.
- Links root traits to treatments, genotypes, and soil conditions.
- Supports greenhouse, growth pouch, and rhizotron experiments.
- Built to integrate with downstream statistics and modeling.
AgriVision LIMS & Data Platform (Early Access)
The AgriVision LIMS and data platform is being developed as an agriculture‑specific system to keep lab, growth chamber, greenhouse, and field data in one place.
- Tracks samples, plots, and treatments across locations and seasons.
- Links images, ratings, sensor data, and metadata for each trial.
- Maintains audit trails to support regulatory, stewardship, and sponsor needs.
- Exports clean CSV/Excel datasets and trial summaries for analysis and reporting.
Early access is available for select partners and design customers. Use the demo link above to discuss fit and timelines.
Dashboards & Insights
AgriVision Analytics is being built to turn trial data into decision tools for product development and research programs.
- Response curves and treatment vs. control views across environments.
- Time‑series disease and bioefficacy summaries from image and rating data.
- Program‑level dashboards for products, traits, or biologicals across years and sites.
AI in Ag & Insights (Coming Soon)
A short “AI in Ag” insights section will share practical examples of computer vision phenotyping, disease analytics, and integrated trial workflows for biologicals and crop protection.