Descripción del proyecto
Inteligencia artificial para mejorar la competitividad de la agricultura de la Unión Europea
Para el año 2050, el crecimiento de la población mundial habrá supuesto un aumento del 50 % de la producción de alimentos, a fin de hacer frente a la necesidad de comida, pienso y biocarburantes. Sin embargo, la producción actual de grano está por debajo de las necesidades de la población mundial, ya que son necesarios nuevos sistemas para explotar de manera inteligente el suelo, el tiempo y los recursos. El proyecto SAAT2020, financiado con fondos europeos, consiste en una plataforma tecnológica de SaaS («software» como servicio) que ofrece un servicio de bioinformática sobre genética y medio ambiente. La solución se sustenta en algoritmos de inteligencia artificial (IA) que generan un sistema de producción de cultivos inteligente y basado en datos para que empresas agrícolas familiares de tamaño medio puedan seleccionar cosechas más productivas. La idea del proyecto es lograr una agricultura sostenible que fomente la competitividad de la Unión Europea en todo el mundo.
Objetivo
By 2050, our planet will be home to more than ten billion people, resulting in an estimated 50% increase in the amount of food, feed, and biofuel required. This year, farmers around the world will produce 30 million tons less grain than required to feed everyone. As a society, we need to move towards smarter data-driven crop production systems that are able to better utilize soil, time, and resources. Modern-day plant breeding uses only a fraction of the available information about genetics and the environment to select new crops. Computomics is a bioinformatics company founded in 2012 that tackles these challenges. Our software-as-a-service (SaaS) technology platform xSeedScore® provides bioinformatics solutions, powered by artificial intelligence algorithms. We work with clients worldwide to solve their most complex crop-related challenges. With over 100 projects, € 1.1m in revenue (2018), and a client retention rate of 80%, our goal is to have our data analysis pipelines used globally. Our solution, xSeedScore, helps medium-sized family-owned seed companies, and large agricultural companies alike to accelerate their breeding program by reducing the time and area necessary for breeding crops by 50%-67% and doubling the predictive value of current statistical methods. Our 2022 revenues are projected at € 5.5m. This growth is fueled by our vision of a more equitable, healthy, and sustainable food system in which EU agriculture can stay globally competitive while still upholding its values on crop protection and genetic regulation. Our team is unique in its combination of innovation and expertise, bringing together bioinformatics, plant genetics, machine learning in biology, and artificial intelligence. Computomics is ready to scale its breeding performance prediction services and expand it across multiple markets. With the right understanding of potential partners and market conditions, access to Phase I funding will give us the ability to reach large clients.
Ámbito científico
- natural sciencesbiological sciencesgenetics
- agricultural sciencesagricultural biotechnologyagricultural genetics
- agricultural sciencesagriculture, forestry, and fisheriesagricultureagronomyplant breeding
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
- engineering and technologyindustrial biotechnologybiomaterialsbiofuels
Programa(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-SMEInst-2018-2020-1
Régimen de financiación
SME-1 - SME instrument phase 1Coordinador
72072 Tubingen
Alemania
Organización definida por ella misma como pequeña y mediana empresa (pyme) en el momento de la firma del acuerdo de subvención.