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For a better anticipation on future high impact hydrological extremes disrupting safety of citizens, agricultural production, transportation, energy production and urban water supply, and overall economic productivity, prediction and foresighting capabilities and their intake in these strategic sectors need to be improved. IMPREX will improve forecast skill of meteorological and hydrological extremes in Europe and their impacts, by applying dynamic model ensembles, process studies, new data assimilation techniques and high resolution modeling.
For a better anticipation on future high impact hydrological extremes disrupting safety of citizens, agricultural production, transportation, energy production and urban water supply, and overall economic productivity, prediction and foresighting capabilities and their intake in these strategic sectors need to be improved. IMPREX will improve forecast skill of meteorological and hydrological extremes in Europe and their impacts, by applying dynamic model ensembles, process studies, new data assimilation techniques and high resolution modeling.
To feed a growing world population with the given amount of arable land, we must develop new methods of sustainable farming that increase yield while minimizing chemical inputs such as fertilizers, herbicides, and pesticides. Precision agricultural techniques seek to address this challenge by monitoring key indicators of crop health and targeting treatment only to plants or infested areas that need it. Such monitoring is currently a time consuming and expensive activity.
To feed a growing world population with the given amount of arable land, we must develop new methods of sustainable farming that increase yield while minimizing chemical inputs such as fertilizers, herbicides, and pesticides. Precision agricultural techniques seek to address this challenge by monitoring key indicators of crop health and targeting treatment only to plants or infested areas that need it. Such monitoring is currently a time consuming and expensive activity.
The aim of the MoDeM_IVM project is to develop a new, interactive, web-based Decision Support System (DSS) for integrated management of the vineyard.
The aim of the MoDeM_IVM project is to develop a new, interactive, web-based Decision Support System (DSS) for integrated management of the vineyard.
A lot of remotely sensed data coming from satellites has become available at no charge in Europe and the US recently, and there is a strong push for more open Earth Observation data. Open Earth Observation data that are currently made available by space agencies (e.g., ESA and NASA) are not following the linked data paradigm.
A lot of remotely sensed data coming from satellites has become available at no charge in Europe and the US recently, and there is a strong push for more open Earth Observation data. Open Earth Observation data that are currently made available by space agencies (e.g., ESA and NASA) are not following the linked data paradigm.
The main goal is to optimise the feeding strategy for grazing cattle and to improve the methods of pasture management. An in the frame of the project developed pasture robot and a modified automatic grazing system (AGS) will be integrated into existing herd management software (HMS), providing an optimal feeding strategy for cattle and pasture maintenance. A robot will be redesigned and sensors for detection of biomass, cowpats etc. and actuators, a mulcher and a seeder, will be implemented.
The main goal is to optimise the feeding strategy for grazing cattle and to improve the methods of pasture management. An in the frame of the project developed pasture robot and a modified automatic grazing system (AGS) will be integrated into existing herd management software (HMS), providing an optimal feeding strategy for cattle and pasture maintenance. A robot will be redesigned and sensors for detection of biomass, cowpats etc. and actuators, a mulcher and a seeder, will be implemented.
Tomato is the second most consumed vegetable in the EU and a major dietary source of many nutrients, vitamins and antioxidants. Consumers complaints about the loss of flavour in modern tomatoes, provide an opportunity for the valorisation of traditional tomato varieties, in order to protect them from genetic erosion and the replacement by higher-yielding, pest resistant modern cultivars. Genetic, epigenetic and phenotypic variability and knowledge from farms and in public repositories, will be concentrated in a TRADITOM database and seed repository (O1).
Tomato is the second most consumed vegetable in the EU and a major dietary source of many nutrients, vitamins and antioxidants. Consumers complaints about the loss of flavour in modern tomatoes, provide an opportunity for the valorisation of traditional tomato varieties, in order to protect them from genetic erosion and the replacement by higher-yielding, pest resistant modern cultivars. Genetic, epigenetic and phenotypic variability and knowledge from farms and in public repositories, will be concentrated in a TRADITOM database and seed repository (O1).
The objective of GenTORE is to develop innovative genome-enabled selection and management tools to optimise cattle resilience and efficiency (R&E) in widely varying environments. These tools, incorporating both genetic and non-genetic variables, will be applicable across the full range of systems (beef, milk and mixed), and will thereby increase the economic, environmental and social sustainability of European cattle meat and milk production systems.
The objective of GenTORE is to develop innovative genome-enabled selection and management tools to optimise cattle resilience and efficiency (R&E) in widely varying environments. These tools, incorporating both genetic and non-genetic variables, will be applicable across the full range of systems (beef, milk and mixed), and will thereby increase the economic, environmental and social sustainability of European cattle meat and milk production systems.
