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Collaborative project: Quality monitoring along the food process-chain using biosensors and artificial intelligence - subproject D (Project)

To avoid food waste and to ensure food quality, a continuous digital mapping of the entire supply chain, along which the quality of each individual food is measured and recorded non-invasively, is of high importance. With the help of distributed ledger technologies, such a continuous digitization of the supply chain from production to the sale of fishery products is designed and built as a...


Funding period: 2020 - 2023

Relevancy: 100%

Collaborativeproject: Quality monitoring along the food process-chain using biosensors and artificial intelligence - subproject F (Project)

To avoid food waste and to ensure food quality, a continuous digital mapping of the entire supply chain, along which the quality of each individual food is measured and recorded non-invasively, is of high importance. With the help of distributed ledger technologies, such a continuous digitization of the supply chain from production to the sale of fishery products is designed and built as a...


Funding period: 2020 - 2023

Relevancy: 100%

Collaborative project: Quality monitoring along the food process-chain using biosensors and artificial intelligence – subproject E (Project)

To avoid food waste and to ensure food quality, a continuous digital mapping of the entire supply chain, along which the quality of each individual food is measured and recorded non-invasively, is of high importance. With the help of distributed ledger technologies, such a continuous digitization of the supply chain from production to the sale of fishery products is designed and built as a...


Funding period: 2020 - 2023

Relevancy: 100%

Collaborative project: Intensification of separation processes in the food industry through digital twins and intelligent process control - subproject A (Project)

Based on the example of two separation processes in the food industry, generalizable digitization concepts are developed, which use the chances of a plant control based on process understanding also in this area. For this purpose, data-driven and model-based methods are to be combined in order to optimize existing production processes. The combination of the methods allows the creation of hybrid...


Funding period: 2020 - 2023

Relevancy: 100%

Collaborative project: Intensification of separation processes in the food industry through digital twins and intelligent process control (InSeLDiP) - subproject C (Project)

Based on the example of two separation processes in the food industry, generalizable digitization concepts are developed, which use the chances of a plant control based on process understanding also in this area. For this purpose, data-driven and model-based methods are to be combined in order to optimize existing production processes. The combination of the methods allows the creation of hybrid...


Funding period: 2020 - 2023

Relevancy: 100%

Collaborative project: Intensification of separation processes in the food industry through digital twins and intelligent process control (InSeLDiP) - subproject B (Project)

Based on the example of two separation processes in the food industry, generalizable digitization concepts are developed, which use the chances of a plant control based on process understanding also in this area. For this purpose, data-driven and model-based methods are to be combined in order to optimize existing production processes. The combination of the methods allows the creation of hybrid...


Funding period: 2020 - 2023

Relevancy: 100%

Collaborative project: Networking as required and sustainable knowledge transfer for innovation projects that are funded by the BMEL for the digital transformation in the food industry: establishment of networking structures, implementation of comprehensiv topics and target group oriented transfer of knowledge and results - subproject A (Project)

The project "network for transfer of knowledge in food industry (DigiFood)" supports all innovation projects that belong to the BMEL funding programm on innovation for the digital transformation of the food industry. The neccesary framework will be formed to support the innovation transfer between science and practinioners by following three goals: 1. Establishing a general network between the...


Funding period: 2020 - 2024

Relevancy: 100%

Collaborative project: Networking as required and sustainable knowledge transfer for innovation projects that are funded by the BMEL for the digital transformation in the food industry: establishment of networking structures, implementation of comprehensiv topics and target group oriented transfer of knowledge and results - subproject D (Project)

The project "network for transfer of knowledge in food industry (DigiFood)" supports all innovation projects that belong to the BMEL funding programm on innovation for the digital transformation of the food industry. The neccesary framework will be formed to support the innovation transfer between science and practinioners by following three goals: 1. Establishing a general network between the...


Funding period: 2020 - 2024

Relevancy: 100%

Collaborative project: Networking as required and sustainable knowledge transfer for innovation projects that are funded by the BMEL for the digital transformation in the food industry: establishment of networking structures, implementation of comprehensiv topics and target group oriented transfer of knowledge and results - subproject C (Project)

The project "network for transfer of knowledge in food industry (DigiFood)" supports all innovation projects that belong to the BMEL funding programm on innovation for the digital transformation of the food industry. The neccesary framework will be formed to support the innovation transfer between science and practinioners by following three goals: 1. Establishing a general network between the...


Funding period: 2020 - 2024

Relevancy: 100%

Collaborative project: Smart and open components for digitalization in food production - subproject A (Project)

Aim of the OsKoNa project is to develop and implement a comprehensive stack of smart components for usage in food production, reaching over the application layers IoT, edge, mobile edge cloud, cloud and metacloud. This enables digital end-to-end function flow over all data acquisition, aggregation, communication and storage levels of agricultural and food production by using this "building blocks...


Funding period: 2020 - 2023