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Search for: KXIuwvTSAiQRglGwqAlcKGDErYGPtnMlNcCblYGeDQvskQk24pMb58jHGnkCvgEh, 10 of 910 Results

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Relevancy: 3%

GlobE: HORTINLEA - Diversifying food systems: Learning and innovation in horticultural value chains to improve the livelihood situation in rural and urban regions in East Africa (Kenya, Ethiopia and Tanzania). Partner J (Project)

The overall goal of HORTINLEA is to significantly improve the livelihood and nutritional situation in particular of the rural and urban poor of the target area. In the technical disciplines, the necessary knowledge should be generated for an improvement of the production systems. These sub-projects refer not to a specific value chain, but work on cross sectional subjects. African indigenous leafy...


Funding period: 2013 - 2016

Relevancy: 3%

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: 3%

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: 3%

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: 3%

Collaborative project: Intensification of separation processes in the food industry through digital twins and intelligent process control - subproject D (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: 3%

Collaborative project: Intensification of separation processes in the food industry through digital twins and intelligent process control - subproject E (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: 3%

Collaborative project: Development of an innovative technique to increase microbial security of prepacked salads by monitoring and disinfection of the washing water. Subproject 1 (Project)

Processing of packaged convenience salads includes cleaning, cutting, washing, drying and packaging. Products are generally washed in a 2-stage process: in the first step, coarse pollutions are removed while the second step is the post-wash. Even intensive washing results only in a reduction of microorganisms by 1-2 log. Recycling of wash water to reduce water consumption also carries the risk of...


Funding period: 2017 - 2019

Relevancy: 3%

Collaborative project: Development of an innovative technique to increase microbial security of prepacked salads by monitoring and disinfection of the washing water. Subproject 2 (Project)

Processing of packaged convenience salads includes cleaning, cutting, washing, drying and packaging. Products are generally washed in a 2-stage process: in the first step, coarse pollutions are removed while the second step is the post-wash. Even intensive washing results only in a reduction of microorganisms by 1-2 log. Recycling of wash water to reduce water consumption also carries the risk of...


Funding period: 2017 - 2019

Relevancy: 3%

Collaborative project: Development of an innovative technique to increase microbial security of prepacked salads by monitoring and disinfection of the washing water. Subproject 3 (Project)

Processing of packaged convenience salads includes cleaning, cutting, washing, drying and packaging. Products are generally washed in a 2-stage process: in the first step, coarse pollutions are removed while the second step is the post-wash. Even intensive washing results only in a reduction of microorganisms by 1-2 log. Recycling of wash water to reduce water consumption also carries the risk of...


Funding period: 2017 - 2019

Relevancy: 3%

Collaborative project: Development of an innovative technique to increase microbial security of prepacked salads by monitoring and disinfection of the washing water. Subproject 4 (Project)

Processing of packaged convenience salads includes cleaning, cutting, washing, drying and packaging. Products are generally washed in a 2-stage process: in the first step, coarse pollutions are removed while the second step is the post-wash. Even intensive washing results only in a reduction of microorganisms by 1-2 log. Recycling of wash water to reduce water consumption also carries the risk of...


Funding period: 2017 - 2019