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Search for: fh62VKoX2FU0lEOwkF43GA7tzz7cUk55eQG9OuEGpGyuFcwfwqofu1SOH9bhwXJO, 10 of 7967 ResultsSorting
Relevancy: 1%
Collaborative project: Monitoring the raw material wood. Subproject 1: Project coordination and preparation of wood raw material balances (Project)
no details
Funding period: 2014 - 2017
Relevancy: 1%
Development of strategies for controlling lupin weevils (Sitona spp.) in integrated and ecological lupin cropping systems. Subproject 1 (Project)
The primary objective of the project is the development of strategies for controlling lupin weevils and implementing elaborated control measures in integrated as well as ecological cropping systems. This should allow a reliable cultivation of lupins, which is threatened by feeding damage caused by the lupin weevils Sitona gressorius und S. griseus. To ensure an effective and successful pest...
Funding period: 2015 - 2018
Relevancy: 1%
Dynamics of the intermediate metabolism in biogas processes (modisto). Subproject 1: Plant Operation and analysis of active guilds (Project)
no details
Funding period: 2016 - 2019
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
