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Collaborative project: Efficient fuel use in agricultural technology - subproject 12 (Project)

The core message of the EKoTech project follows the formula "More output, less CO2", which shows that output orientation plays a central role in fuel efficiency in agricultural machinery. In concrete terms, the research team has succeeded for the first time in proving, across all manufacturers, that innovative agricultural machinery, intelligent process control and modern operating concepts...


Funding period: 2016 - 2019

Relevancy: 100%

Collaborative project: Finalizing of the GPS-GSM tracking system with software applications for cattle on mountain pastures - subproject 1 (Project)

Tracking systems for animals have been mainly used for research purposes so far. However, mass market production of GPS receivers and new accumulators enable the use of such technology for extensive and free-ranged alpine pastures with high biodiversity for the advantage of the animals and the farmers. On alpine farms the daily control or searching for animals account for about 70 % of the total...


Funding period: 2016 - 2018

Relevancy: 100%

Collaborative project: Finalizing of the GPS-GSM tracking system with software applications for cattle on mountain pastures - subproject 2 (Project)

Tracking systems for animals have been mainly used for research purposes so far. However, mass market production of GPS receivers and new accumulators enable the use of such technology for extensive and free-ranged alpine pastures with high biodiversity for the advantage of the animals and the farmers. On alpine farms the daily control or searching for animals account for about 70 % of the total...


Funding period: 2016 - 2018

Relevancy: 100%

Collaborative project: Methods and technologies to support the predictive planning and control of cooperative agricultural processes exemplified by the harvest of silage maize - subproject 1 (Project)

The goal of the project is to develop a prototypical infrastructure of complementary services to predictively support agricultural processes exemplified by the harvest of silage maize. Already available but currently not used data will be unlocked and provided via interoperable services. This data originates from farm management systems, the machines themselves, public (Geo-) Information...


Funding period: 2016 - 2019

Relevancy: 100%

Collaborative project: Methods and technologies to support the predictive planning and control of cooperative agricultural processes exemplified by the harvest of silage maize - subproject 2 (Project)

The goal of the project is to develop a prototypical infrastructure of complementary services to predictively support agricultural processes exemplified by the harvest of silage maize. Already available but currently not used data will be unlocked and provided via interoperable services. This data originates from farm management systems, the machines themselves, public (Geo-) Information...


Funding period: 2016 - 2019

Relevancy: 100%

Collaborative project: Methods and technologies to support the predictive planning and control of cooperative agricultural processes exemplified by the harvest of silage maize - subproject 3 (Project)

The goal of the project is to develop a prototypical infrastructure of complementary services to predictively support agricultural processes exemplified by the harvest of silage maize. Already available but currently not used data will be unlocked and provided via interoperable services. This data originates from farm management systems, the machines themselves, public (Geo-) Information...


Funding period: 2016 - 2019

Relevancy: 100%

Collaborative project: Methods and technologies to support the predictive planning and control of cooperative agricultural processes exemplified by the harvest of silage maize - subproject 4 (Project)

The goal of the project is to develop a prototypical infrastructure of complementary services to predictively support agricultural processes exemplified by the harvest of silage maize. Already available but currently not used data will be unlocked and provided via interoperable services. This data originates from farm management systems, the machines themselves, public (Geo-) Information...


Funding period: 2016 - 2019

Relevancy: 100%

Collaborative project: Methods and technologies to support the predictive planning and control of cooperative agricultural processes exemplified by the harvest of silage maize - subproject 5 (Project)

The goal of the project is to develop a prototypical infrastructure of complementary services to predictively support agricultural processes exemplified by the harvest of silage maize. Already available but currently not used data will be unlocked and provided via interoperable services. This data originates from farm management systems, the machines themselves, public (Geo-) Information...


Funding period: 2016 - 2019

Relevancy: 100%

Collaborative project: Methods and technologies to support the predictive planning and control of cooperative agricultural processes exemplified by the harvest of silage maize - subproject 6 (Project)

The goal of the project is to develop a prototypical infrastructure of complementary services to predictively support agricultural processes exemplified by the harvest of silage maize. Already available but currently not used data will be unlocked and provided via interoperable services. This data originates from farm management systems, the machines themselves, public (Geo-) Information...


Funding period: 2016 - 2019

Relevancy: 100%

Collaborative project: Methods and technologies to support the predictive planning and control of cooperative agricultural processes exemplified by the harvest of silage maize - subproject 7 (Project)

The goal of the project is to develop a prototypical infrastructure of complementary services to predictively support agricultural processes exemplified by the harvest of silage maize. Already available but currently not used data will be unlocked and provided via interoperable services. This data originates from farm management systems, the machines themselves, public (Geo-) Information...


Funding period: 2016 - 2019