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Relevancy: 100%
Collaborative project: Digital management support systems for small and medium-sized enterprises in value chains of ornamental plants, perennials and cut flowers - subproject 4 (Project)
Content of the project is the development and testing of a multi-level, digital management support system for different actors in the value chains of ornamental plants, perennials and cut flowers. This includes for example the design of analysis and forecasting systems for the sale of selected ornamental plants, cut flowers or perennials. These systems are beneficial for companies on the...
Funding period: 2020 - 2023
Relevancy: 100%
Collaborative project: Reducing microbial contamination of poultry meat before and after butchering by combined approach with laser surface decontamination and bacteriophages. Subproject 3 (Project)
Together with the project partners, a concept for microbial surface decontamination of poultry carcasses and meat products by using laser irradiation in combination with bacteriophages was to be developed. The project was divided into a total of 6 work packages, which were completed within 42 months. For the inactivation of Campylobacter sp. on chicken meat, the combined use of a single phage and...
Funding period: 2020 - 2023
Relevancy: 100%
Collaborative project: Digital management support systems for small and medium-sized enterprises in value chains of ornamental plants, perennials and cut flowers - subproject 5 (Project)
The PlantGrid project aimed to develop a digital management support system for small companies in the value chains of ornamental plants, perennials and cut flowers. The project showed that modern machine learning algorithms can be effectively used for forecasting the sales of individual ornamental plants and the turnover of companies. Additionally, digital tools are helpful for organising...
Funding period: 2020 - 2023
Relevancy: 100%
Creation of a database with purity and quality parameters of vegetable edible oils/fats for authen-ticity testing (Project)
Vegetable edible oils, especially olive oils, are among the top 10 most counterfeited foods. Typical methods of adulteration aim to reduce production costs and maximize profit while deceiving consumers about the actual quality and origin of the edible oils. One way to detect adulterations is by uncovering deviations in the chemical composition (e. g., fatty acid composition) compared to typical...
Funding period: 2024 - 2027
Relevancy: 100%
Collaborative project: Digital management support systems for small and medium-sized enterprises in value chains of ornamental plants, perennials and cut flowers - subproject 7 (Project)
The PlantGrid project aimed to develop a digital management support system for small companies in the value chains of ornamental plants, perennials and cut flowers. The project showed that modern machine learning algorithms can be effectively used for forecasting the sales of individual ornamental plants and the turnover of companies. Additionally, digital tools are helpful for organising...
Funding period: 2020 - 2023
Relevancy: 100%
Rewetting of agricultural waters as an immediate climate protection measure - Scientific assessment and impact assessment for the agricultural landscape (Project)
The German agricultural landscape is home to countless small standing bodies of water. Due to longer and warmer dry periods, climate change will lead to more and more small bodies of water drying out more frequently and for longer periods of time. The WAKS project scientifically accompanies the removal of organic-rich sediment (desludging) from small water bodies in the agricultural landscape as...
Funding period: 2022 - 2025
Relevancy: 100%
Collaborative project: Digital management support systems for small and medium-sized enterprises in value chains of ornamental plants, perennials and cut flowers - subproject 8 (Project)
Content of the project is the development and testing of a multi-level, digital management support system for different actors in the value chains of ornamental plants, perennials and cut flowers. This includes for example the design of analysis and forecasting systems for the sale of selected ornamental plants, cut flowers or perennials. These systems are beneficial for companies on the...
Funding period: 2020 - 2023
Relevancy: 100%
Collaborative project: Digital management support systems for small and medium-sized enterprises in value chains of ornamental plants, perennials and cut flowers - subproject 9 (Project)
The PlantGrid project aimed to develop a digital management support system for small companies in the value chains of ornamental plants, perennials and cut flowers. The project showed that modern machine learning algorithms can be effectively used for forecasting the sales of individual ornamental plants and the turnover of companies. Additionally, digital tools are helpful for organising...
Funding period: 2020 - 2023
Relevancy: 100%
Computer-aided prognoses and Decision Support Systems in crop protection (Project)
A number of existing forecasting and decision support systems (EHS) which are important for arable farming practice must urgently be adapted and validated to the dynamic development of host-pathogen relationships in order to ensure their suitability for practical use. In order to adapt the models, it is necessary to collect comparative data on epidemiology by research and intensive assessments as...
Funding period: 2019 - 2024
Relevancy: 100%
Computer-aided prognoses and Decision Support Systems in crop protection (Project)
A number of existing forecasting and decision support systems (EHS), which are important for arable farming practice, need to be adapted and validated to the dynamic development of host-pathogen interactions in order to ensure their continued practicability. For the model adaptation it is necessary to collect epidemiological data for further parameters, comparative data on epidemiology in the...
Funding period: 2019 - 2024
