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Search for: fh62VKoX2FU0lEOwkF43GA7tzz7cUk55eQG9OuEGpGyuFcwfwqofu1SOH9bhwXJO, 10 of 8070 ResultsSorting
Relevancy: 1%
Ethical, Legal and Socio-Economic Aspects of Genome Editing in Agriculture. Subproject 1: Methods, risk assessment & application (Project)
no details
Funding period: 2016 - 2019
Relevancy: 1%
Collaborative project: Genomic indicators for boar taint, fertility and robustness in Landrace- and Large White populations. Subproject 1 (Project)
"The aim of the project was the genetic improvement of boar taint in porcine dam lines under consideration of fertility and robustness.Based on quantitative genetic analyses the genetic foundation of boar taint as well as maternal and paternal fertility was estimated. The genetic correlations of these trait complexes have suggested that negative consequences on economically relevant fertility...
Funding period: 2016 - 2019
Relevancy: 1%
Collaborative project: Development of a SmartHarvest system for less damaged sugar beets (SmartBeet) - subproject 1 (Project)
Sugar beet taproots can be severely injured through aggressive setting of the harvester’s cleaning turbines: beets may be ineligible for long-term storage. The driver can strongly influence the degree of injuries through turbine setting. In our SmartBeet project, we developed the base for driver assistance safeguarding low-damage beet harvest. Hot spots of mechanical strain were detected by...
Funding period: 2016 - 2019
Relevancy: 1%
Collaborative project: Decision support in crop protection: Pest identification using UAV (unmanned aerial vehicle) technology - subproject 1 (Project)
Within the scope of the project Schadinspektor we intend to develop a computer program that identifies crop pests and separates infested areas from healthy crops based on UAV (unmanned aerial vehicles) imagery. The final image analysis tool will be available via the web page www.isip.de. Two different pests causing zonal significant crop failure have been chosen for the proof of concept, one...
Funding period: 2016 - 2019
Relevancy: 1%
Collaborative project: Decision support in crop protection: Pest identification using UAV (unmanned aerial vehicle) technology - subproject 1 (Project)
Within the scope of the project Schadinspektor we intend to develop a computer program that identifies crop pests and separates infested areas from healthy crops based on UAV (unmanned aerial vehicles) imagery. The final image analysis tool will be available via the web page www.isip.de. Two different pests causing zonal significant crop failure have been chosen for the proof of concept, one...
Funding period: 2016 - 2019
Relevancy: 1%
Collaborative project: Decision support in crop protection: Pest identification using UAV (unmanned aerial vehicle) technology - subproject 1 (Project)
Within the scope of the project Schadinspektor we intend to develop a computer program that identifies crop pests and separates infested areas from healthy crops based on UAV (unmanned aerial vehicles) imagery. The final image analysis tool will be available via the web page www.isip.de. Two different pests causing zonal significant crop failure have been chosen for the proof of concept, one...
Funding period: 2016 - 2019
Relevancy: 1%
Collaborative project: Development of a UAV-based expert platform for precise plant protection in fruticulture - Subproject 1 (Project)
The Corona-PRO project developed a new method for the spatially-adaptive application of plant protection products (PPPs) for commercial fruit growing. This involved calculating the tree geometry of individual fruit trees and fruit wall sections (crown height, volume and leaf area) using high-resolution automated UAV aerial photography. The aim was to digitally reconstruct the structure of...
Funding period: 2017 - 2020
Relevancy: 1%
Collaborative project: Raising up the phoshor efficiency of slurry in the conventional und organic landusing systems. Subproject 1 (Project)
While NIR-spectrometers for the measurement of liquid slurry are able to get a high precision gathering the nutrient content of “standard-slurry” from fattened pigs, dairy cows or slurry from biogases fed with renewable raw material, we need more samples for “special manure” with high or low nutrient content to get a better prediction by using the calibration model. To expand the measuring range...
Funding period: 2017 - 2020
Relevancy: 1%
Collaborative project: Training of heifers on phantom milking robots to reduce stress in automated milking systems. Subproject 1 (Project)
no details
Funding period: 2015 - 2018
Relevancy: 1%
Collaborative project: Developing an sustanaible breeding project in German sheep breed with simultaneous use of rams. Subproject 1 (Project)
Within the framework of the project a sustainable breeding project with the simultaneous use of 3-4 rams in large flocks of sheep under extensive hat retentions will be established. Hereby, a method will be investigated in accordance with zootechnical legislations for the practical breeding farms and the under the current husbandry conditions of extensive pastoralism as well as the effects of the...
Funding period: 2017 - 2020
