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Search for: erz0sxl5g8vvmvn4ys3t2pck0tnkfwpqiy0xemsfsppa1u1ofavfhpib7g9htmdy, 10 of 7963 ResultsSorting
Relevancy: 1%
Collaborative project: Sugar beet of the future: Model- and data-based yield scenarios for a climate-adapted selection in breeding - subproject B (Project)
The project is intended to investigate the impact on the yield of sugar beet which results from the current range of climate scenarios and in which way plant breeding can adapt. Thereby, an adapted choice of selection locations and/or the integration of indirect selection characteristics are hypothesized as reasonable adaptation strategies. These approaches may be used directly for...
Funding period: 2023 - 2026
Relevancy: 1%
Collaborative project: Sugar beet of the future: Model- and data-based yield scenarios for a climate-adapted selection in breeding - subproject C (Project)
The project is intended to investigate the impact on the yield of sugar beet which results from the current range of climate scenarios and in which way plant breeding can adapt. Thereby, an adapted choice of selection locations and/or the integration of indirect selection characteristics are hypothesized as reasonable adaptation strategies. These approaches may be used directly for...
Funding period: 2023 - 2026
Relevancy: 1%
Automated spatial and temporal recording of wildlife and visitor activities by means of artificial intelligence (Project)
currently unavailable
Funding period: 2023 - 2026
Relevancy: 1%
Lignin as a renewable resource for applications in electronics, sub-project 4: Technology Development (Project)
no details
Funding period: 2012 - 2014
Relevancy: 1%
Collaborative project: Nutraceuticals as enhancement for the immune system of flatfish – Subproject 4 (Project)
During the production of fish in recirculation aquaculture systems (RAS), an enrichment of pathogens and micro-organisms can occur due to low replacement rates of the recirculating water. This increases the risk of diseases outbreaks, which currently are treated by an application of potent antiparasiticals or antibiotics. These treatments often are long lasting, may be of limited success and bear...
Funding period: 2012 - 2015
Relevancy: 1%
Collaborative project: Development of a rapid test using milk to determine pregnancy, Subproject 4 (Project)
no details
Funding period: 2016 - 2019
Relevancy: 1%
Collaborative project: Increased efficiency through surface optimization for innovative fertilizer injection equipment. Subproject 4 (Project)
An option to counteract nutrient loss and unfavorable environmental impacts is optimally positioned fertilizer. Among the biggest obstacles when implementing low-loss fertilizers are tractive force and energy demands when spreading in sufficient depths. The goal of this project to significantly improve the strength of the innovative injection tools for both solid and fluidic fertilizers.
Funding period: 2017 - 2021
Relevancy: 1%
Agro forestry environmental performance for added value and energy, Sub-project 4: Biomasse Schraden (Project)
no details
Funding period: 2014 - 2019
Relevancy: 1%
Collaborative project: Early detection of insect pests in silos by accustic methods. Subproject 4 (Project)
"The aim of the funded project was to develop a system for early acoustic detection of storage pests. Insect sounds were recorded and analysed to enable species-specific detection. The results should lead to an acoustic detection system that enables farmers/storage keepers to detect infestation at an earlier stage compared to conventional detection methods in order to minimise damage. By...
Funding period: 2014 - 2017
Relevancy: 1%
GeoCare: Geoinformation technology for protection of agricultural resources and risk management. Subproject 4 (Project)
The joint project 'DataPlant' combines data handling and analyzing techniques with the development of new sensor technology by targeting recognition and evaluation of Cercospora leaf blotch infestation in sugar beet. Start and course of disease severity are influenced by many parameters. Therefore the 'Big Data” approach is suitable to receive a deeper knowledge. Parameters from different data...
Funding period: 2016 - 2019
