The fastest digital seed testing system measuring seed, germination, and seedling emergence quality.
For paper-based germination assays and seedling emergence tests
Save time and labor in seed testing
Overcome inconsistent assessments by digitizing the inspection
Reproducible and standardizable through unified imaging and analysis
The digital seed testing system for breeders, testing labs, and researchers
Reliable technology that makes seed testing easy
Image acquisition, storage, analysis, and retrieval
Image annotation, metadata recording
Metadata and annotation directly linked to image
Advanced image processing algorithms including machine learning
Structured image file administration system
Easy export of images, data, and analyses
Intuitive graphical user interface
High-resolution industrial camera
Artificial intelligence enables seed and seedling quality assessments
Roots emerging from seeds were detected by SeedAIxpert and marked in yellow. Germination percentage (seeds with / without roots in relation to total seed number) is provided. Detected roots can be measured, e.g. root lenght.
Germination detection of coated seeds
SeedAIxpert is designed to work with coated seeds, too. Here coated seeds were classified as germinated or not germinated according to the occurence of roots. As SeedAIxpert can work with color analysis, it can handle differently coated seeds at once.
SeedAIxpert works with most seeds
SeedAIxpert technology is able to cope with seeds of different sizes and colors. No matter whether you work with small herb or vegetable seeds or with maize, SeedAIxpert makes seed testing easy.
Artificial intelligence for seedling classification
Emerging seedlings consist of various parts, e.g. roots, shoots, or root hairs. With machine learning algorithms, SeedAIxpert can be trained to recognize each of these parts separately.
Example for a maize germination test as top-of-paper assay. SeedAIxpert images the samples and derives germination quality data from the images.
Vegetable seed germination classified with machine learning
Vegetables germinating in a top-of-paper test were classified with the SeedAIxpert machine learning algorithms. Occurence and size of shoot and root are analyzed and a subsequent quality rating, e.g. as usable plant test can be set up.
Embryo and Endosperm are visible on the surface of maize seeds. Imaged and classified by SeedAIxpert, fractions of embryo and endosperm are measured for each seed.
Seedling emergence test
Oilseed rape germination was assessed in a seedling emergence test with seeds placed in substrate. Emerging cotyledons were recognized and measured for germination frequency and seedling quality.