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School fruit scheme in North-Rhine Westphalia: Examination of the effects on the nutritional behavior of the children, including parental consumption behavior and distribution frequency of fruit and vegetable products 2012-2014 (Project)
First results show the success of the EU school fruit scheme in North-Rhine Westphalia. Since the beginning of the program in 2010 the number of participating pupils has increased to about 100.000. However, this project reaches only a minority of the overall 750.000 primary and special school pupils. In order to enable more schools to participate in the project within the given budget the idea of...
Funding period: 2012 - 2014
Relevancy: 100%
Collaborative project: Automatic detection of plant diseases with mobile devices and mobile internet for the targeted use of agricultural decision support systems - subproject 1 (Project)
'Goal is to shoot symptoms on sugar beet leaves with the help of cameras in mobile devices (smart phones, cell phones, etc.), to transfer pictures over the internet to a server, to analyze pictures by detection routines (algorithms) and to send the result back. First step is to detect possible disease symptoms on leafs by color and pattern recognition on the photographs. On the basis of a library...
Funding period: 2012 - 2015
Relevancy: 100%
Collaborative project: Automatic detection of plant diseases with mobile devices and mobile internet for the targeted use of agricultural decision support systems - subproject 2 (Project)
Goal is to shoot symptoms on sugar beet leaves with the help of cameras in mobile devices (smart phones, cell phones, etc.), to transfer pictures over the internet to a server, to analyze pictures by detection routines (algorithms) and to send the result back. First step is to detect possible disease symptoms on leafs by color and pattern recognition on the photographs. On the basis of a library...
Funding period: 2012 - 2015
Relevancy: 100%
Collaborative project: Automatic detection of plant diseases with mobile devices and mobile internet for the targeted use of agricultural decision support systems - subproject 3 (Project)
Goal is to shoot symptoms on sugar beet leaves with the help of cameras in mobile devices (smart phones, cell phones, etc.), to transfer pictures over the internet to a server, to analyze pictures by detection routines (algorithms) and to send the result back. First step is to detect possible disease symptoms on leafs by color and pattern recognition on the photographs. On the basis of a library...
Funding period: 2012 - 2015
Relevancy: 100%
Collaborative project: Automatic detection of plant diseases with mobile devices and mobile internet for the targeted use of agricultural decision support systems - subproject 4 (Project)
Goal is to shoot symptoms on sugar beet leaves with the help of cameras in mobile devices (smart phones, cell phones, etc.), to transfer pictures over the internet to a server, to analyze pictures by detection routines (algorithms) and to send the result back. First step is to detect possible disease symptoms on leafs by color and pattern recognition on the photographs. On the basis of a library...
Funding period: 2012 - 2015
Relevancy: 100%
Collaborative project: Development of self-adapting LED-Traps for greenhouses - subproject 1 (Project)
Within a collaborative project between the company Neudorff, Emmerthal and Leibniz University Hannover a new and innovative light trapping system based on led-technologies for monitoring and controlling insects in greenhouses will be developed. The traps were electronically controlled and adjusted by particular insect patterns. The trap can be used in greenhouses in a mobile or stationary...
Funding period: 2012 - 2015
Relevancy: 100%
Collaborative project: Development of self-adapting LED-Traps for greenhouses - subproject 2 (Project)
Within a collaborative project between the company Neudorff, Emmerthal and Leibniz University Hannover a new and innovative light trapping system based on led-technologies for monitoring and controlling insects in greenhouses will be developed. The traps were electronically controlled and adjusted by particular insect patterns. The trap can be used in greenhouses in a mobile or stationary...
Funding period: 2012 - 2015
Relevancy: 100%
Collaborative project: An infrastructure permitting evaluation of data in precision livestock farming across farms, farm branches, applications and standards - subproject 1 (Project)
The project goal is to create an infrastructure that will permit to evaluate data in precision livestock farming along the value chain with the stages breeding/piglet production, fattening, and slaughterhouse across farms, farming branches, applications and standards. This includes data from external sources, e.g. on veterinary medical products and feed stuff. The results of the project are...
Funding period: 2012 - 2013
Relevancy: 100%
Collaborative project: An infrastructure permitting evaluation of data in precision livestock farming across farms, farm branches, applications and standards - subproject 2 (Project)
The project goal is to create an infrastructure that will permit to evaluate data in precision livestock farming along the value chain with the stages breeding/piglet production, fattening, and slaughterhouse across farms, farmingbranches, applications and standards. This includes data from external sources, e.g. on veterinary medical products and feed stuff. The results of the project are...
Funding period: 2012 - 2013
Relevancy: 100%
Collaborative project: An infrastructure permitting evaluation of data in precision livestock farming across farms, farm branches, applications and standards - subproject 3 (Project)
The project goal is to create an infrastructure that will permit to evaluate data in precision livestock farming along the value chain with the stages breeding / piglet production, fattening, and slaughterhouse across farms, farming branches, applications and standard. This includes data from external sources, e.g. on veterinary medical products and feed stuff. The results of the project are...
Funding period: 2012 - 2013
