AQUASENSE SIGNED
Innovative Network for Training in wAter and Food QUality monitoring using Autonomous SENSors and IntelligEnt Data Gathering and Analysis
Total Cost €
0EC-Contrib. €
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Project "AQUASENSE" data sheet
The following table provides information about the project.
| Coordinator |
UNIVERSITY OF GLASGOW
Organization address contact info |
| Coordinator Country | United Kingdom [UK] |
| Total cost | 4˙060˙943 € |
| EC max contribution | 4˙060˙943 € (100%) |
| Programme |
1. H2020-EU.1.3.1. (Fostering new skills by means of excellent initial training of researchers) |
| Code Call | H2020-MSCA-ITN-2018 |
| Funding Scheme | MSCA-ITN-ETN |
| Starting year | 2018 |
| Duration (year-month-day) | from 2018-10-01 to 2022-09-30 |
Partnership
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Project objective
The deterioration of water quality, caused by climatic/seasonal changes, or industrial waste etc. is a major global concern. Over the last decade, water quality observing technology has risen to the challenge of scientists to identify and mitigate poor water quality by providing them with cost-effective tools that can take measurements of essential biogeochemical variables autonomously. Yet, despite these options becoming more readily available, there is a gap between the technology and the end-user (including the investigators and technicians that deploy these technologies) due to a collective lack of training, in-depth knowledge, and skilled workers who can meet new and emerging challenges. There is also a disconnect between data quality, data gathering by autonomous sensors and data analysis, which is a major obstacle, as the sensors are already being deployed (e.g. through buoys, boats etc.). AQUASENSE will address these challenges through 15 early stage researchers (ESRs), who will receive 540 person-month of unparalleled multidisciplinary training in the field of water quality monitoring. Each ESR will be mentored by carefully selected experts from academia and industry in 9 European countries (UK, Germany, Ireland, Serbia, Sweden, Italy, Poland, Austria, Estonia) and will have access to state-of-the-art equipment to develop autonomous sensors for improved data quality. The autonomous underwater robots and drones will be used to improve the data gathering and AI methods will be used to improve the data analysis. Hands-on project training will be supplemented with formal training courses in relevant fields such as new materials, sensors fabrication, wireless communication, system integration, and robotics, and a variety of complementary courses such as IPR, grant writing and exploiting the scientific results. Mobility within the network will ensure exposure to complementary academic and industrial research environments.
Publications
| year | authors and title | journal | last update |
|---|---|---|---|
| 2019 |
Milan Radovanović, Dragana Vasiljević, Dejan Krstić, Igor Antić, Olha Korzhyk, Goran Stojanović, Biljana D. Škrbić Flexible sensors platform for determination of cadmium concentration in soil samples published pages: 105001, ISSN: 0168-1699, DOI: 10.1016/j.compag.2019.105001 |
Computers and Electronics in Agriculture 166 | 2020-04-16 |
| 2019 |
Goran Stojanović, Milan Radovanović, Dejan Krstić, Ivan Ignjatović, Jelena Dragaš, Vedran Carević Determination of pH in Powdered Concrete Samples or in Suspension published pages: 3257, ISSN: 2076-3417, DOI: 10.3390/app9163257 |
Applied Sciences 9/16 | 2020-04-16 |
| 2019 |
Marko Marković, Jovan Bajić, Mehmed Batilović, Zoran Sušić, Ana Joža, Goran Stojanović Comparative Analysis of Deformation Determination by Applying Fiber-optic 2D Deflection Sensors and Geodetic Measurements published pages: 844, ISSN: 1424-8220, DOI: 10.3390/s19040844 |
Sensors 19/4 | 2020-04-16 |
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