Descrizione del progetto
L’IA può garantire all’UE un’agricoltura competitiva
Entro il 2050, la crescita della popolazione mondiale determinerà un aumento della produzione alimentare pari al 50 % al fine di soddisfare le esigenze di alimenti, mangimi e biocarburanti. Tuttavia, l’odierna produzione di cereali è inferiore alle necessità della popolazione globale, a causa dell’assenza di nuovi sistemi per una valorizzazione intelligente di suolo, tempo e risorse. Il progetto SAAT2020, finanziato dall’UE, si basa su una piattaforma di tecnologie SaaS (software come servizio) che offre dati bioinformatici su genetiche e ambiente. Questa soluzione funziona grazie ad algoritmi IA legati a un sistema intelligente di produzione agricola basato sui dati e aiuta le aziende agricole a conduzione familiare di medie dimensioni a selezionare le colture più produttive. Il progetto immagina un’agricoltura più sostenibile che supporterà la competitività dell’UE a livello internazionale.
Obiettivo
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.
Campo scientifico
- natural sciencesbiological sciencesgenetics
- agricultural sciencesagricultural biotechnologyagricultural genetics
- agricultural sciencesagriculture, forestry, and fisheriesagricultureagronomyplant breeding
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
- engineering and technologyindustrial biotechnologybiomaterialsbiofuels
Programma(i)
Argomento(i)
Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-SMEInst-2018-2020-1
Meccanismo di finanziamento
SME-1 - SME instrument phase 1Coordinatore
72072 Tubingen
Germania
L’organizzazione si è definita una PMI (piccola e media impresa) al momento della firma dell’accordo di sovvenzione.