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Computomics
xSeedScore
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Description
⨉SeedScore addresses the need for sustainable, climate-resilient agriculture by integrating phenotypic, genotypic, and environmental data. It reduces trial-and-error in breeding by prioritizing the most promising crop varieties, cutting time to market by up to 6 years. ⨉SeedScore enhances crop quality by optimizing traits such as yield, resilience, and nutritional value. It helps breeders develop crops tailored to diverse climates and regions, opening access to new markets. It also minimizes economic risks and reduces resource-intensive field trials, saving significant time, land, water, and inputs.
Overview
- ⨉SeedScore directly improves productivity by analyzing diverse datasets to prioritize the most promising crop varieties, reducing trial-and-error in breeding.
- It enables breeders to develop crops for diverse climates and regions, opening access to markets with specific environmental challenges and supporting global food security and sustainability goals.
- ⨉SeedScore cuts development time through precise, data-driven predictions, reducing resource-intensive field trials and saving significant time, land, water, and inputs.
- It reduces emissions by enabling efficient breeding of climate-resilient crops that require fewer resources, and it supports biodiversity by promoting the development of diverse crop varieties adapted to specific climates.