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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%
Collaborative project: Digital management support systems for small and medium-sized enterprises in value chains of ornamental plants, perennials and cut flowers - subproject 10 (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%
Facilitating Insects in Agricultural Landscapes. Subproject Monitoring of yield, develpment of methods and statistics (Project)
FInAL aims to identify ways in which insect diversity, biomass and functionality can be increased in agricultural landscapes through changes in cultivation systems, especially by integrating renewable crops. Overall, a comprehensive approach is taken at the landscape level with a regional model in each case, taking into account both cultivated and non-produced areas as well as stakeholder...
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 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%
Baseline study on virus reservoirs (Project)
To adequately anticipate and respond to the detection of new plant viruses^ in the event of outbreaks and interceptions, it is necessary to have a better understanding of the current virus reservoir, the “baseline”: knowledge on the species present, their host plants, and geographical distribution. In the case of a new finding (e.g. a pest new to science, a new host or an area where the pest was...
Funding period: 2022 - 2024
Relevancy: 100%
VectoScreen vector monitoring for Flavescence dorée, Xylella fastidiosa and regulated non-quarantine pests in fruit growing and viticulture - innovative data collection and management (Project)
The project aims to develop a new effective and sensitive monitoring strategy, coupled with innovative diagnostics, based on the analysis of unsorted mass catches of plant-sucking insects. An Internet platform for the management, analysis and communication of monitoring data is to be developed and made available for the management and analysis of the data obtained in this way, as well as data...
Funding period: 2021 - 2024
Relevancy: 100%
Scouting parasitoids for help to control the Box Tree Pyralid Moth (Cydalima perspectalis) and other related moths (Project)
The intended joint research proposal focus on collections of the Box Tree Pyralid Moth and related species to be made in different habitats in Japan (native region) and in Germany (invaded region), following a joint standard protocol. Collected insects will further incubated to allow parasitoids to emerge from the different developmental stages. After collection and identification of parasitoid...
Funding period: 2024 - 2026
Relevancy: 100%
Plant Ecological Genetics - subproject Fitness effects of molecular variants affecting leaf area and economics spectrum of Hordeum vulgare (Project)
Barley is characterized by high levels of intra-specific diversity and adaptation to environments both stress-prone and resource-rich, and to environments characterized by all levels of competition. These features, together with the available genomic resources, make it an attractive model for ecological genetic studies. As the leaf is the most important photosynthetic organ, total leaf area has a...
Funding period: 2024 - 2026
