The aim of SafeEye is to develop, demonstrate, and commercialize an automated emergency response system for larger (>7 kg) drones. It is a small device, mounted on a drone, that keeps track of safe places to crash, and on the health state of the drone. If necessary it can terminate the flight, and with the least probability of fatalities. This means a significantly reduced risk for automated, typically BVLOS, operations, and SafeEye is thus an enabler for many applications, including farming, inspection, transportation, search and rescue. The risk mitigation ability is documented so well that SafeEye aims at achieving formal approval of the Danish authorities as well as direct influence on coming European drone regulations. SafeEye is manufactured as a standalone unit sold first through drone technology suppliers and later to service providers and manufacturers of autopilots. The project aims at TRL8 and SRL7 and the first units sold 12 months after the project ends.

De samfundsøkonomiske konsekvenser af Kvælstof (N)-belastningen af vandmiljøet og reguleringen af N-gødningen i landbruget er debatteret. Den fremtidige N-regulering skal i stor udstrækning baseres på målinger, hvilket er et fælles ønske fra både landmænd, eksperter og politikere. Dette kræver, at landbrugsarealerne kortlægges detaljeret, og forskellige datatyper sammenstilles på en ny måde. Værktøjerne til dette findes ikke i dag og projektet rOPEN vil udvikle et billigt og effektivt redskab til kvantitativ estimering af N-retentionen (-tilbageholdelsen) på mark-skala (få hektar) bl.a. baseret på målinger af jordens strukturer med luftbåren og jordbaseret geofysisk udstyr og detaljerede geokemiske målinger. Målingerne skal indgå i hydrologiske modeller, som kortlægger kvælstoftransporten, når det løber ud i dræn og vandløb eller ned i grundvandet. Dermed kan N-følsomme arealer bestemmes. Værktøjet vil kunne anvendes af myndigheder, konsulenter og den enkelte landmand til billig kortlægning af N-følsomheden. Dette vil give en betydelig samfundsøkonomisk gevinst, idet virkemidler kan placeres, hvor effekten er størst. rOPEN vil hermed bidrage til at fastholde dansk landbrugs konkurrenceevne og sikre, at relevante vandmiljømål nås.

The project will mature the 3D food printing technology and demonstrate its use in overcoming challenges related to malnutrition among hospitalised patients. The aims are 1) to develop a technology platform prototype for personalised food production based on 3D printing, 2) to prepare for integration of the platform in a hospital and 3) to optimise printed food quality in terms of nutritional content, texture and flavour perception. When fully implemented, the results can contribute to reducing malnutrition among hospitalised patients, leading to an increased well-being of patients as well as government savings of an estimated 4 bill. DKK annually. The consortium consists of market-leading commercial partners within 3D printing and food ingredients, combined with strong academic competencies. The commercial partners expect a profit of close to 300 mill. DKK within 5 years of the project, and the project will place Denmark in the very front of global development within 3D food printing.

According to ESA, the arrival of Mega-Constellations (MCs) will have a major impact on the satcoms industry. It will require a high level of innovation in system development, including the application of concepts from outside the traditional space sector. Our project focuses on the Operations and Management (O&M) challenge of MCs. Where traditional satellite networks are limited in the number of satellites and services, MCs may consist of thousands of inter-connected satellites with short lifetime. This demands a stronger O&M framework than what exists today. The core of the project is the development of a mature O&M concept based on existing standards from terrestrial telecoms. The concept will be developed for a specific MC architecture and two selected downstream applications: IoT and astronomy/geoscience. The project is expected to have a significant global impact and it helps to revitalise the Danish telecoms sector and converge it with a growing satcoms business.

Da tilgængelighed af økologisk protein i dag er begrænsende for økologisk husdyrproduktion, og da ingen danske fjorde lever op til kriterierne for god økologisk tilstand, er det formålet med MuMiPro at udvikle en ny type opdræt af muslinger, som på en og samme gang leverer bæredygtigt foderprotein til økologisk husdyrproduktion og forbedrer miljøkvaliteten i kystnære danske farvande. MuMiPro er et tværfagligt projekt, der skal løfte opgaven med at bringe en ny form for opdræt af muslinger fra lovende koncept til produktionsklar metode til gavn for jobskabelse i udkantsområder, økologisk husdyrproduktion og vandmiljø. MuMiPro vil forske og udvikle i: 1) At effektivisere muslingeopdræt så produktionsomkostningerne reduceres; 2) At tilpasse og udvikle metoder til at lave olier, mel og ensilage af muslinger; 3) At dokumentere den ernæringsmæssige værdi af muslinger for smågrise og fjerkræ for derved at udvikle markedet for marint foderprotein; 4) At undersøge den vandrensende effekt af muslingeopdræt i forskellige fjordsystemer; 5) At udvikle modeller for forvaltning af en stigende muslingeproduktion i kystnære farvande, med særligt fokus på modeller for værdisætning og betaling af økosystemtjenester samt for anvendelse af kystzonen.

Food production is challenged by the conflict of natural variations in raw materials and consumer demand for consistent high quality. The problem is aggravated when dough is an intermediary product, as the physicochemical behavior is poorly interpreted. Tools to analyze dough exist, but it remains undefined what should be measured and how it should be understood. As a result, production suffers from significant waste, as sub-standard products are discarded. This project aims to increase fundamental understanding of dough behavior and formalize this into a framework to be applied in process and predictive quality control. The knowledge and control system is expected to increase profits of industry partners with 130 mill. DKK in five years after project completion from reduced waste alone. Once the framework is used to improve other productions with soft matter intermediary products, increased profits could easily surpass 1 bill. DKK in a similar timeframe from reduced waste alone.

MOIST provides new, scientifically based satellite products to farmers in Denmark and abroad for intelligent irrigation management. The potential value of MOIST is high both in economic and environmental terms. The project will lead to increased crop yields, better management of water resources and reduced environmental impact of agricultural production. The unique contribution of MOIST results from a joint effort of agronomists, remote sensing scientists and IT architects working closely together to generate new knowledge and overcome the limitations of current technologies. MOIST includes remote sensing research, development of more precise irrigation strategies and the testing and dissemination to users in Denmark and elsewhere. In the advanced satellite products, a new approach to combine data from optical and radar sensors ensures timeliness and high quality output. The output will directly benefit Danish farmers, and the export potential to other regions of the World is large.

Den stærkt voksende verdensbefolkning skaber øget fokus på udvikling af nye proteinkilder til at sikre den globale fødevareforsyning. De seneste år er insekter blevet anerkendt som et miljøvenligt og realistisk alternativ til velkendte foderstoffer og fødevarer. Visionen for inVALUABLE er, at skabe bæredygtig og ressource-effektiv produktion af insekter som ny, animalsk proteinkilde. Dette er funderet i en cirkulær bioøkonomisk tilgang baseret på anvendelse af restprodukter som insektfoder. inVALUABLE udføres af 11 partnere, som omfatter en bred vifte af eksperter, entreprenører og en internationalt-førende insektproducent, der sammen kan medvirke til at omsætte resultaterne til nye ydelser og produkter. Konsortiets ekspertiser afspejler vidensbehovet i hele værdikæden fra biologi, automatisering, processering samt fødevareteknologi og –sikkerhed. Dette samspil af kompetencer er nødvendigt for at kunne løfte insektproduktion op til et industrielt niveau. Målet er at inVALUABLE, 3-5 år efter projektet, kan etablere industriel insektproduktion i Danmark med en årlig omsætning på 200-300 mio. kr. samt 100-200 relaterede job - og dermed sætte klima- og ressource-effektiv dansk proteinproduktion i en international førerposition.

The project proposes a collaborative robot cell concept as an alternative to the serial production line that is currently used in major slaughterhouses. With a robot cell, where a robot and an operator share tasks and workload, we get the strength of the robot and the flexibility of the operator. This will help reduce the repetitive stress injuries that plague workers in the industry and it will ease the transition to fully automated robots that can perform the entire process by themselves. The project requires innovation in the way humans and robots collaborate and the development of robots that can adapt to the high variation in both products and the interaction with humans. The project contains three labour intensive cases performed extensively in Danish slaughterhouses. The cases have increasing complexity and ambition but also outreach and potential. The occupational safety regulations are challenged in this disruptive project.

The objective of the ASIP project is to develop an automatic sea ice product service for Greenland waters which can meet the increased demands for sea ice information coming from the growing group of users operating in Greenland waters. In between the span from traditional manually produced Ice Charts and daily downstream sea ice products in coarse resolution, there is a lack of high resolution products delivered in near-real time. ASIP will meet this demand, taking advantage of the vast amount of new data from the Copernicus Sentinel satellites and by using a new and innovative data fusion approach and state-of-the-art mathematical data processing methods: Utilizing data from satellite sensors with different capabilities, will allow for ice products that are independent of daylight, weather and season and result in a significant increase in product temporal frequency and geographical coverage compared to existing ice products.

Breeding4Biomass projektets formål er at forbedre biomasseudbyttet i græsser. Projektet er et samarbejde mellem Aarhus Universitet, Chinese Academy of Sciences og det danske græsforædlingsfirma DLF. Med en andel af verdensmarkedet for græsfrø på ca. 25 procent, vil denne partnersammensætning sikre direkte global afsætning af projektets resultater. Den samlede danske frøeksport passerede sidste år 5 mia. kroner, og nærværende projekt ønsker at styrke udviklingen indenfor denne højkvalitative spidskompetence. Biomasseudbytte er den vigtigste egenskab i græsforædlingen, men er samtidig også den egenskab, som er sværest at forbedre. I projektet vil vi udvikle en helt ny forædlingssstrategi for biomasseudbytte i rajgræs- og svingel-arter. Forædlingsstrategien er baseret på en kombination af ”Reverse Breeding”, analyse for specifikke kombinationsværdier, og Genomisk prædiktion, og metoden sigter på at kombinere fordelagtige egenskaber på tværs af arter. Forædlingstrategien er designet specifikt til at forbedre komplekse egenskaber i planter, med en høj grad af genotype-miljøinteraktioner. Den vi derfor også kunne anvendes for andre vigtige plantearter som f. eks. Byg og hvede med henblik på bæredygtig intensivering af dansk landbrug.

White Etching Cracks (WEC) is a particularly aggressive, unpredictable and wide spread bearing failure mode that is common for large multi-MW wind turbines. WEC is considered the single most expensive failure mode for all wind turbine components, and there is currently no commercial solution. The specific objective of the project is to develop a new surface engineered WEC resistant bearing material using novel surface engineering techniques that shall provide a commercially competitive alternative to existing wind turbine bearings. This new bearing material will be evaluated using accelerated WEC bearing test rigs run, using realistic transient bearing loads experienced by wind turbines, and optimized using fracture mechanics models based upon material properties and transient loads. Test results of new materials will be held up against other high-end bearing materials tested under the same parameters, and one solution will be chosen for validation at a large scale bearing facility.

Super resolution ultrasound imaging (SRI) is a new groundbreaking method enabling a true leap in diagnosis of cancer and diabetes. It can potentially attain a 10 micrometer resolution by using ultrasound tracking of contrast agents and opens a whole new and exciting field for investigating human microvascular physiology and diagnostics. The project translates SRI from experimental 2-D imaging of immobilized rodents to human clinical use in full 3-D. The project develops new silicon based probes, a new flexible scanner architecture, imaging and motion estimation schemes, and conducts human trials on cancer and diabetes patients. This makes it possible to introduce new, inexpensive 3-D imaging schemes based on a new flexible software scanner and advanced silicon based probes on the market. These are used for SRI and 3-D abdominal ultrasound imaging with a full 3-D visualization of flow with the potential of radically improving vascular imaging, cancer staging and diabetes quantification.

Formålet er at sætte banebrydende forskning i Deep Learning (DL) og Big Data i spil og derved opnå betydelige herbicid-besparelser. De kommercielle partnere spænder bredt fra udviklere af sensor- og deep learning systemer over beslutningssystemer til bekæmpelse af ukrudt, Farm Management Information Systems (FMIS) og nye marksprøjter, som kan sammensætte herbiciddoser stedsspecifikt, både ud fra kort og i real-time . Forskning bidrager med optimering af DL, regnemodeller, som kan prediktere fremtidige ukrudtsbestande og sociologiske undersøgelser af landmænds reaktioner på den ny teknologi. Der udvikles produkter, som kan anvendes både individuelt og integreret. Sidstnævnte medfører betydelige synergier og “fit”, idet der opnåse en sammenhængende kæde af: detektering af ukrudt ? lagring i FMIS (til støtte i kommende afgrøder) ? optimeret valg af herbicider og doser ? signaler til sprøjte controller ? dokumentation af herbicid-produkter og mængder til FMIS. Samtidig reduceres herbicidforbruget med 20-80% , afhængig af afgrøder og af teknologi-niveau (mark- eller sted-specifik behandling). Generiske kvaliteter i alle produkter gør dem velegnet til eksport via netværk i EU, som allerede er etableret.

The MultiCon project aims to foster a paradigm shift in wind energy by developing disruptive storage solutions based on a novel Software-Defined Power Management System – Cognicell – which allows monitoring and control of batteries at single cell level, generating significant advantages for functionality, stability, reliability and durability, as well as lower OPEX and CAPEX for end-users. MultiCon was designed to meet the societal need for improved storage solutions to enable the achievement of imminent political targets set in the renewables context. To mitigate risks, we will follow a stepwise approach, aimed at validating the novel system in 3 disruptive demonstrators: (i) Light backup; (ii) Modular UPS; and (iii) Modular Energy Storage System (ESS). The project will also enable the consortium vision of a Wind Turbine Integrated ESS, using a Multi Storage Converter. MultiCon will contribute to increase the self-supply ability and avoid the need for energy imports.