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Collaborative project: Health monitoring in early life as basis of sustainable improvement of animal health in dairy farms - subproject 3 (Project)

Health in early life is extremely important for body development, individual constitution and lifetime performance. Therefore, optimization of animal health with focus on calves and heifers enables the dairy farms to take foresighted measures for improved health and longevity cows. This implies milk yields according to their genetic performance potential and substantial contribution to efficient...


Funding period: 2014 - 2018

Relevancy: 1%

Collaborative project: Measuring system for an automated early diagnosis of lameness in cattle through analysis of the sound of movement in cattle - subproject 3 (Project)

Animal welfare is one oft he most important quality indicators in livestock production for many consumers and of rapidly growing social relevance. Still measuring animal welfare can be quite difficult. An important factor for animal welfare in cattle farming is the detection of lameness, which is caused by diseases of the claws and limbs. The aim of this project is therefore to develop a system...


Funding period: 2016 - 2019

Relevancy: 1%

Collaborative Project: Consistent data and information system for acquisition and analysis of early indicators of seed quality (KODIAQ) - subproject 3 (Project)

The KODIAQ project aims on the analysis of effects and interactions of different internal and external factors for the germination capacity of seeds. Using modelling approaches corresponding early indicators will be developed. Early and efficient control of this trait shall increase the resource efficiency and added value in seed production as a highly specialized agricultural sector. The...


Funding period: 2016 - 2019

Relevancy: 1%

Collaborative Project: Development of a system for collection, analysis and utilization of product data for authenticity in the food sector – subproject 3 (Project)

Collaborative approaches for efficient administration and the exchange of relevant data between participants in the supply chain, institutions and institutes in the food sector represent an important impetus for the future use of new technologies in operational and official practice. In the Food-Authent project (09/2016 - 12/2019) experts from the fields of food analysis, food retail, software...


Funding period: 2016 - 2019

Relevancy: 1%

Collaborative project: Sustainable increase of Phosphorus efficiency in winter wheat via an effective root-soil-interaction - subproject 3 (Project)

In this project, the P-efficiency of 200 wheat varieties with different P-fertilizers including a recycling P-fertilizer (P-Rec) from sewage sludge incineration was investigated. Despite seasonal differences in the raw material of the sewage sludge, the examined P-Rec fertilizer showed low pollutant levels (heavy metals and organic compounds). The P-uptake of the wheat varieties tested with...


Funding period: 2016 - 2020

Relevancy: 1%

Collaborative project: Development of an intelligent (packaging) system for a sensor-based prediction of the actual expiration date of food. Subproject 3 (Project)

As part of the project, a reusable sensor label has been developed for the integration into milk packaging. With a process software and a smartphone app, this label enables the collection of relevant environmental data along the logistics chain. A prediction algorithm has been developed that uses the temperature profile of the sensor label to calculate the expected time of actual spoilage of ESL...


Funding period: 2018 - 2020

Relevancy: 1%

Collaborative project: Nutrient inputs into drainage systems of grassland areas in northern Germany: Analysis to derive recommendations for action. Subproject 3 (Project)

The aim of the project is to analyze the possibilities for agricultural influence, considering operational, hydrological and pedological interactions and their effects on the quality ditches. The implementation of the project requires the cooperation of experts from different fields of expertise. The Grassland Center provides the organizational, administrative and scientific project management....


Funding period: 2018 - 2021

Relevancy: 1%

Collaborative project: Adaptive control of the harvesting and cleaning process of beet harvesters using image-based quality evaluation. Subproject 3 (Project)

The aim of this project is to optimize the quality of the beet harvesting process, but also to save resources and to supply the machine operator. The beet quality is measured based on images which refers as an input for the adaptive control of the harvesting and cleaning elements. In the first step the system supports the driver to find the optimal machine settings for the desired harvesting...


Funding period: 2016 - 2020