AI-powered
sorting for plant
seed research

From seed banks to agricultural labs, our EggSorter screens, classifies, and dispenses small seeds with speed and precision—processing thousands per hour to reduce variability and deliver consistent, high-quality results.

Bring precision, speed, and consistency to seed research

Bionomous automates the most time-consuming steps in small-seed workflows—screening, sorting, and dispensing with accuracy, full traceability, and throughput of thousands per hour.

Standardize seed quality assessment

Apply consistent selection criteria across batches—removing damaged or non-viable seeds for reliable research and production outcomes.

Boost throughput without extra labor

Handle thousands of seeds per hour with AI-based classification—freeing your team from repetitive, manual sorting.

Improve data-driven decisions

Capture and store images and classification results for every seed—supporting traceability and further analysis.

Adapt lab-proven sorting for seed-based protocols

Bionomous’ core technology automatically screens, classifies, and sorts plant seeds by quality, size, or germination.

Automate seed quality selection

Detect damaged, malformed, or undersized seeds using brightfield or fluorescence imaging—removing low-quality samples with precision.

Support seed viability and germination studies

Create uniform seed batches and screen for germination, enhancing reproducibility across trials.

Sort by size, morphology, or markers

Use AI-driven classification to separate seeds based on physical traits or fluorescent markers—ideal for specialized research or breeding programs.

Teach your sorter to grade seeds your way

LabSwipe lets you train the system’s AI using images from your own seed samples. Define the traits that matter—size, shape, or fluorescence expression—without coding. All processing happens locally, so your data never leaves your device.

Define your quality benchmarks

Flag examples of ideal and subpar seeds in your images. LabSwipe translates those benchmarks into an AI model that applies them consistently.

Adapt to seasonal and species variation

Update the model with new data as you work with different crops, harvest conditions, or preservation methods—keeping accuracy high year-round.

Build a reusable visual library

Curate a set of annotated seed images that becomes your in-house reference for training and refining AI sorting over time.

Trusted by leading
labs

Read our case studies

Hear about our impact in labs like yours

Read our FAQs

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