Imagine having a crystal ball that tells you exactly which seed will grow best in a specific field under unpredictable weather. Instead of guessing or waiting years for a plant to grow, this technology uses smart computer patterns to predict the best seeds. It's like a high-tech matchmaking service for plants, soil, and weather to ensure a successful harvest.
Traditional plant breeding is too slow and data-heavy to keep up with rapid climate change. This leads to crop failure and food insecurity because breeders cannot accurately predict which plants will survive extreme weather.
The xSeedScore® technology, consisting of bioinformatical algorithms and a genetic-based crop placement model, supported by legal data-sharing frameworks.
If you are a plant breeder dealing with slow development cycles and climate unpredictability — this project developed xSeedScore® that provides predictions ten times more accurate than traditional methods. This allows you to select climate-resilient crops and reduce time-to-market.
If you are a distributor like BayWa or Beiselen dealing with inefficient crop placement — this project developed a genetic-based crop placement model. This ensures the right seeds are sold for the right environment, improving farmer success rates.
If you are a software provider dealing with a lack of precise genetic data for farmers — this project developed bioinformatical algorithms to identify superior plants. This can be integrated into digital tools to optimize land and water use.
Based on available project data, specific pricing for the technology is not disclosed, though the company aims for a turnover of €18M by 2026.
Yes, the project specifically worked on enhancing scalability for global deployment and developed datasets for multiple European crop species like barley, wheat, and rice.
The project established legal frameworks for data sharing, including the negotiation of NDAs and MTAs to ensure compliance with IP laws between Computomics and its partners.
The project ran from 2023 to 2024, with the company expecting to reach its growth targets by 2026.
The technology uses bioinformatical algorithms to integrate genotype, environment, and management factors, automating data processing for breeders.
The project is led by a single SME, Computomics GmbH, representing a 100% industry ratio. This lean structure indicates a highly commercial focus, bypassing academic delays to move directly toward market integration with distributors.
Contact Computomics GmbH in Germany for xSeedScore® licensing
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