Description du projet
Recourir à l’IA pour assurer la compétitivité de l’agriculture européenne
D’ici 2050, la croissance de la population mondiale entraînera une augmentation de 50 % de la production alimentaire pour répondre aux besoins en nourriture, en fourrages et en biocarburants. Vu l’insuffisance de nouveaux systèmes permettant une exploitation intelligente des sols, du temps et des ressources, la production céréalière actuelle est toutefois inférieure aux besoins de la population mondiale. Le projet SAAT2020, financé par l’UE, s’appuie sur une plateforme technologique SaaS (logiciel en tant que service) qui permet une analyse bio-informatique de données génétiques et environnementales. Pilotée par des algorithmes d’IA qui aboutissent à un système de production agricole intelligent fondé sur des données, la solution aide les exploitations agricoles familiales de taille moyenne à sélectionner des cultures plus productives. Le projet vise une agriculture plus durable qui soutiendra la compétitivité de l’UE dans le monde.
Objectif
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.
Champ scientifique
- natural sciencesbiological sciencesgenetics
- agricultural sciencesagricultural biotechnologyagricultural genetics
- agricultural sciencesagriculture, forestry, and fisheriesagricultureagronomyplant breeding
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
- engineering and technologyindustrial biotechnologybiomaterialsbiofuels
Programme(s)
Régime de financement
SME-1 - SME instrument phase 1Coordinateur
72072 Tubingen
Allemagne
L’entreprise s’est définie comme une PME (petite et moyenne entreprise) au moment de la signature de la convention de subvention.