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Search for: fh62VKoX2FU0lEOwkF43GA7tzz7cUk55eQG9OuEGpGyuFcwfwqofu1SOH9bhwXJO, 10 of 7967 ResultsSorting
Relevancy: 11%
Developing an in vitro method for inhalation toxicology of selected compounds in e-liquids (Project)
...Developing an in vitro method for inhalation toxicology of selected compounds in e-liquids...
Funding period: 2020 - 2024
Relevancy: 11%
The reservoir within the reservoir: geno- and phenotypic characteristics of STEC strains persistently colonizing cattle (Project)
...Persistently infected cattle are the major reservoir for Shigatoxin (Stx)-producing E. coli (STEC) and enterohemorrhagic E. coli (EHEC) strains. ...
Funding period: 2012 - 2015
Relevancy: 11%
Development, testing and application of rapid diagnostic methods for the detection of food-associated microorganisms (Project)
...The identification and characterisation of food-associated microorganisms, e.g. Listeria monocytogenes, Bacillus sp. and enterobacteriaceae with classical, microbiological methods is often difficult and time-consuming. A polyphasic approach in which molecular methods (e.g. species-specific polymerase chain reactions, sequencing of housekeeping genes, RAPD and PFGE typing) are included, leads to a more accurate identification on species and serovar level. ...
Funding period: 2001 - 2018
Relevancy: 11%
Collaborative project: Methods and technologies to support the predictive planning and control of cooperative agricultural processes exemplified by the harvest of silage maize - subproject 1 (Project)
...This data originates from farm management systems, the machines themselves, public (Geo-) Information Infrastructures (e.g. Copernicus) or other sources from external partners (e.g. ripeness maps or yield prognosis maps)....
Funding period: 2016 - 2019
Relevancy: 11%
Collaborative project: Methods and technologies to support the predictive planning and control of cooperative agricultural processes exemplified by the harvest of silage maize - subproject 2 (Project)
...This data originates from farm management systems, the machines themselves, public (Geo-) Information Infrastructures (e.g. Copernicus) or other sources from external partners (e.g. ripeness maps or yield prognosis maps)....
Funding period: 2016 - 2019
Relevancy: 11%
Collaborative project: Methods and technologies to support the predictive planning and control of cooperative agricultural processes exemplified by the harvest of silage maize - subproject 3 (Project)
...This data originates from farm management systems, the machines themselves, public (Geo-) Information Infrastructures (e.g. Copernicus) or other sources from external partners (e.g. ripeness maps or yield prognosis maps)....
Funding period: 2016 - 2019
Relevancy: 11%
Collaborative project: Methods and technologies to support the predictive planning and control of cooperative agricultural processes exemplified by the harvest of silage maize - subproject 4 (Project)
...This data originates from farm management systems, the machines themselves, public (Geo-) Information Infrastructures (e.g. Copernicus) or other sources from external partners (e.g. ripeness maps or yield prognosis maps)....
Funding period: 2016 - 2019
Relevancy: 11%
Collaborative project: Methods and technologies to support the predictive planning and control of cooperative agricultural processes exemplified by the harvest of silage maize - subproject 5 (Project)
...This data originates from farm management systems, the machines themselves, public (Geo-) Information Infrastructures (e.g. Copernicus) or other sources from external partners (e.g. ripeness maps or yield prognosis maps)....
Funding period: 2016 - 2019
Relevancy: 11%
Collaborative project: Methods and technologies to support the predictive planning and control of cooperative agricultural processes exemplified by the harvest of silage maize - subproject 6 (Project)
...This data originates from farm management systems, the machines themselves, public (Geo-) Information Infrastructures (e.g. Copernicus) or other sources from external partners (e.g. ripeness maps or yield prognosis maps)....
Funding period: 2016 - 2019
Relevancy: 11%
Collaborative project: Methods and technologies to support the predictive planning and control of cooperative agricultural processes exemplified by the harvest of silage maize - subproject 7 (Project)
...This data originates from farm management systems, the machines themselves, public (Geo-) Information Infrastructures (e.g. Copernicus) or other sources from external partners (e.g. ripeness maps or yield prognosis maps)....
Funding period: 2016 - 2019
