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Relevancy: 100%
Collaborative project: Smart Container Services for Food Industries - subproject D (Project)
The transport and storage of perishable goods in the food industry demands special attention to ensure the quality and safety of the products. Stainless steel intermediate bulk containers (IBCs) are often used for this purpose. Until now, it has not been possible to continuously monitor stainless steel IBCs and the condition of the products inside. The research project smart.CONSERVE dealt with...
Funding period: 2020 - 2023
Relevancy: 100%
Collaborative project: Integration of sensor data into an innovative herd management software based on HERDEplus® to improve reproductive performance in German dairy cows – subproject A (Project)
Sustainable milk production is of outstanding importance for social acceptance. Culling due to inadequate reproductive management have been among the most important causes and cannot be tolerated. In addition, there are major social concerns regarding the use of hormones to manipulate fertility in farm animals. The use of sensor technology (Precision Livestock Farming) makes it possible to 1)...
Funding period: 2020 - 2023
Relevancy: 100%
Collaborative project: Integration of sensor data into an innovative herd management software based on HERDEplus® to improve reproductive performance in German dairy cows – subproject B (Project)
Sustainable milk production is of outstanding importance for social acceptance. Culling due to inadequate reproductive management have been among the most important causes and cannot be tolerated. In addition, there are major social concerns regarding the use of hormones to manipulate fertility in farm animals. The use of sensor technology (Precision Livestock Farming) makes it possible to 1)...
Funding period: 2020 - 2023
Relevancy: 100%
Collaborative project: Autonomous situation-based cleaning: Self-learning, real-time optimized tank cleaning in the food industry - subproject B (Project)
The aim of the project is to develop an intelligent cleaning system, including the associated hardware and software components, with which the digital transformation of tank cleaning in the food industry can be achieved. The cleaning system should react completely autonomously and depending on the situation to the strongly varying levels of contamination by adapting and readjusting it inline as...
Funding period: 2020 - 2023
Relevancy: 100%
Collaborative project: Autonomous situation-based cleaning: Self-learning, real-time optimized tank cleaning in the food industry - subproject A (Project)
The aim of the project is to develop an intelligent cleaning system, including the associated hardware and software components, with which the digital transformation of tank cleaning in the food industry can be achieved. The cleaning system should react completely autonomously and depending on the situation to the strongly varying levels of contamination by adapting and readjusting it inline as...
Funding period: 2020 - 2023
Relevancy: 100%
Collaborative project: Autonomous situation-based cleaning: Self-learning, real-time optimized tank cleaning in the food industry - subproject C (Project)
The aim of the project is to develop an intelligent cleaning system, including the associated hardware and software components, with which the digital transformation of tank cleaning in the food industry can be achieved. The cleaning system should react completely autonomously and depending on the situation to the strongly varying levels of contamination by adapting and readjusting it inline as...
Funding period: 2020 - 2023
Relevancy: 100%
Collaborative project: Autonomous situation-based cleaning: Self-learning, real-time optimized tank cleaning in the food industry - subproject D (Project)
The aim of the project is to develop an intelligent cleaning system, including the associated hardware and software components, with which the digital transformation of tank cleaning in the food industry can be achieved. The cleaning system should react completely autonomously and depending on the situation to the strongly varying levels of contamination by adapting and readjusting it inline as...
Funding period: 2020 - 2023
Relevancy: 100%
Collaborative project: Development of a high-sensitive alley mat/flooring for early detection of claw diseases in cattle - subproject A (Project)
For many years claw diseases in cattle are rising and are the third leading cause of death after infertility and mastitis. The economic loss to the domestic dairy farming economy is considerable (> 2 bn €/year) caused by the early death, high treatment costs, lowered milk yield, pregnancy rate and fertility. The main goal of this R&D project is the development of a novel alley mat/flooring which...
Funding period: 2020 - 2023
Relevancy: 100%
Collaborative project: Development of a high-sensitive alley mat/flooring for early detection of claw diseases in cattle - subproject B (Project)
For many years claw diseases in cattle are rising and are the third leading cause of death after infertility and mastitis. The economic loss to the domestic dairy farming economy is considerable (> 2 bn €/year) caused by the early death, high treatment costs, lowered milk yield, pregnancy rate and fertility. The main goal of this R&D project is the development of a novel alley mat/flooring which...
Funding period: 2020 - 2023
Relevancy: 100%
Collaborative project: Development of a high-sensitive alley mat/flooring for early detection of claw diseases in cattle - subproject C (Project)
For many years claw diseases in cattle are rising and are the third leading cause of death after infertility and mastitis. The economic loss to the domestic dairy farming economy is considerable (> 2 bn €/year) caused by the early death, high treatment costs, lowered milk yield, pregnancy rate and fertility. The main goal of this R&D project is the development of a novel alley mat/flooring which...
Funding period: 2020 - 2023
