TRansition to agriculture 4.0: increasing crop resiliency with Artificial Intelligence Technology

Introduction

Global food security challenges, due to exposure to more frequent and intense climate extremes, are threatening to erode and reverse gains made in ending hunger and malnutrition globally, and to shake the foundations of crop production locally.

Challenges for Plant Breeders

Therefore, plant breeders are under pressure to tackle climate resiliency and resource efficiency. Machine learning-based technologies have the potential to address these challenges and enable breeders to produce stable, value-added products, which contribute to resource-efficient agriculture that can feed the world. However, these technologies are still under development and not commercially available.

Computomics' Solution

Computomics has developed xSeedScore, the first disruptive machine learning-based technology enabling:

1. More climate-resilient varieties
2. Decreased land and water use
3. Reduced time-to-market
4. A competitive alternative to genetic modification

Future Outlook

With the help of the EIC Accelerator, Computomics expects to reach by 2026 a turnover of €18M and 50 employees.