Seed testing can be laborious and frequently relies on old-fashioned scoring procedures. With our new LemnaTec SeedAIxpert we are bringing the fastest digital seed germination and seedling emergence test into the growing market of high-quality seeds. It saves time and labor by automatically analyzing seed germination percentage and timing together with metrics on the seeds and seedlings. The digital metrics give an advantage compared to counting and visual scoring the seed germination assays.
Key advantages are:
- Rapid digital analysis of seed germination or seedling emergence
- Saving time and labour
- Improved data quality
- Broad range of seed types
- Seed and seedling quality traits
- Normal/abnormal seedling and usable plant determination (optional advanced analysis feature)
- Mechanical automation and climate room integration possible (SeedAIxpert HTC, SeedAIxpert HT)
SeedAIxpert handles seeds from any crops, vegetables, ornamentals, herbs, medical plants, or natural plants. We digitally assess quality and germination features of seeds of any shape, color or size – from sub-millimeter to centimeter range.
Our cutting-edge analysis system combines industry-grade cameras and lights with advanced analytical software, incorporating machine learning algorithms that allow advanced classification of seed and seedling quality.
You can accelerate the testing process already with manually taken images in a bench-top system, but we offer automation for high-throughput systems, too. Hundreds of seed testing trays can be automatically imaged and analyzed in short time with our automated SeedAIxpert HTC and HT systems. SeedAIxpert HT can be fit into climate-controlled rooms so that you can set optimal germination conditions for the seeds.
Our digital seed test analyses seed germination on paper (top-of-paper method) and germination on or in other substrates. For between-paper-tests, image acquisition after paper unfolding is possible, too. The digital germination test can handle samples in various testing methods like they are described in the ISTA or AOSA manuals.
The system can work with seedling emergence tests, too. Here, the outgrow of seedlings from a substrate, usually soil, is monitored. The appearance of a plant at a position in the substrate-filled tray is classified as emerged seedling. Even very early stages can be detected due to high sensitivity of the system.
With LemnaTec analytical software we process images to recognise the seeds and the emerging parts with classical image processing or with machine-learning assisted systems. Machine learning tools serve to classify the seedlings in more detail, for instance by detecting roots, root hairs, and shoots separately from the seed.
Based on the classification by LemnaTec analytical software, many informative factors such as percentage of germination or emergence, time of germination and metrical parameters of the seeds and seedlings are determined. By having a broad range of metical factors, data quality is strongly improved. Metrics comprise area, length, width, colour, or geometrical factors of seeds as well as roots, shoots and leaves that emerge from seeds during the germination process. Classification and metrics are decisive to discriminate normal seeds and seedlings form abnormal ones, e.g. damaged, infested, or strange-growing individuals.
Coated and uncoated seeds of most plant species can be analyzed. Depending on species and on eventual treatment or coating, seeds differ in size, color and shape. The SeedAIxpert algorithms can be adapted to many different seed types. Classification and quantification of seed characteristics are based on predefined criteria (number, size, color, and shape).
Examples include and are not limited to:
- Percentage of seed germination
- Germination rates (in time series analysis)
- Seedling emergence
- Seed and seedling morphological parameters (e.g. size, roundness, root length)
- Seed and seedling color and color distribution