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Relevancy: 100%
Collaborative project: Fresh data: Optimised decision-making along the fruit, vegetable and fish supply chain through an open data and service framework, and including services to record and assess food quality and freshness - subproject B (Project)
The limited shelf life of food also limits the optimization possibilities of food logistics and is the cause that misplanning in the area of production, ordering, and sales quantities planning not only leads to high storage costs, but also to food losses in a short time The "FriDa – Fresh Data" project creates an improved flow of information along the food supply chain, enabling better,...
Funding period: 2020 - 2023
Relevancy: 100%
Collaborative project: Fresh data: Optimised decision-making along the fruit, vegetable and fish supply chain through an open data and service framework, and including services to record and assess food quality and freshness - subproject C (Project)
The limited shelf life of food also limits the optimization possibilities of food logistics and is the cause that misplanning in the area of production, ordering, and sales quantities planning not only leads to high storage costs, but also to food losses in a short time The "FriDa – Fresh Data" project creates an improved flow of information along the food supply chain, enabling better,...
Funding period: 2020 - 2023
Relevancy: 100%
Collaborative project: Fresh data: Optimised decision-making along the fruit, vegetable and fish supply chain through an open data and service framework, and including services to record and assess food quality and freshness – subproject D (Project)
The limited shelf life of food also limits the optimization possibilities of food logistics and is the cause that misplanning in the area of production, ordering, and sales quantities planning not only leads to high storage costs, but also to food losses in a short time The "FriDa – Fresh Data" project creates an improved flow of information along the food supply chain, enabling better,...
Funding period: 2020 - 2023
Relevancy: 100%
Collaborative project: Fresh data: Optimised decision-making along the fruit, vegetable and fish supply chain through an open data and service framework, and including services to record and assess food quality and freshness - subproject E (Project)
The limited shelf life of food also limits the optimization possibilities of food logistics and is the cause that misplanning in the area of production, ordering, and sales quantities planning not only leads to high storage costs, but also to food losses in a short time The "FriDa – Fresh Data" project creates an improved flow of information along the food supply chain, enabling better,...
Funding period: 2020 - 2023
Relevancy: 100%
Collaborative project: Smart Yeast Filtration - Self-optimizing process automation of dynamic microfiltration with AI support for economic recovery of yeast by-product flows in breweries - subproject A (Project)
The recovery of beer by filtration of excess yeast saves raw materials and energy in the brewing process, avoids food waste and improves the economic efficiency. At the same time, the quality and concentration of excess yeast as a secondary product is increased. Beer recovery is a typical process in the food industry for processing continuous streams of raw materials of variable quality, which...
Funding period: 2020 - 2023
Relevancy: 100%
Collaborative project: Smart Yeast Filtration - Self-optimizing process automation of dynamic microfiltration with AI support for economic recovery of yeast by-product flows in breweries - subproject B (Project)
The recovery of beer by filtration of excess yeast saves raw materials and energy in the brewing process, avoids food waste and improves the economic efficiency. At the same time, the quality and concentration of excess yeast as a secondary product is increased. Beer recovery is a typical process in the food industry for processing continuous streams of raw materials of variable quality, which...
Funding period: 2020 - 2023
Relevancy: 100%
Collaborative project: Smart Yeast Filtration - Self-optimizing process automation of dynamic microfiltration with AI support for economic recovery of yeast by-product flows in breweries - subproject C (Project)
The recovery of beer by filtration of excess yeast saves raw materials and energy in the brewing process, avoids food waste and improves the economic efficiency. At the same time, the quality and concentration of excess yeast as a secondary product is increased. Beer recovery is a typical process in the food industry for processing continuous streams of raw materials of variable quality, which...
Funding period: 2020 - 2023
Relevancy: 100%
Collaborative project: Development of the cooperative cloud platform CERES for the collection, exchange and evaluation of data in agriculture and LiveStock - subproject A (Project)
CERES aims to implement a cooperative cloud platform for agriculture. CERES aims to increase the competitiveness of domestic agricultural companies by improving the individual and animal-friendly keeping of farm animals and creating transparency for consumers. Agricultural data (e.g. sensor data, weather data, geodata) are merged in CERES. Intuitive evaluation services based on a hybrid approach...
Funding period: 2020 - 2023
Relevancy: 100%
Collaborative project: Development of the cooperative cloud platform CERES for the collection, exchange and evaluation of data in agriculture and LiveStock - subproject B (Project)
CERES aims to implement a cooperative cloud platform for agriculture. CERES aims to increase the competitiveness of domestic agricultural companies by improving the individual and animal-friendly keeping of farm animals and creating transparency for consumers. Agricultural data (e.g. sensor data, weather data, geodata) are merged in CERES. Intuitive evaluation services based on a hybrid approach...
Funding period: 2020 - 2023
Relevancy: 100%
Collaborative project: Development of the cooperative cloud platform CERES for the collection, exchange and evaluation of data in agriculture and LiveStock - subproject C (Project)
CERES aims to implement a cooperative cloud platform for agriculture. CERES aims to increase the competitiveness of domestic agricultural companies by improving the individual and animal-friendly keeping of farm animals and creating transparency for consumers. Agricultural data (e.g. sensor data, weather data, geodata) are merged in CERES. Intuitive evaluation services based on a hybrid approach...
Funding period: 2020 - 2023
