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Collaborative project: Bee-based biomonitoring to unlock the synergetic mechanisms of agriculture and pollinator insects - subproject E (OCELI)

Project


Project code: 281C307E19
Contract period: 07.06.2021 - 06.06.2024
Budget: 361,088 Euro
Purpose of research: Applied research
Keywords: production, AI Artificial Intelligence, animal welfare, prevention, animal health, digital world, bees, sensor technology, husbandry techniques

OCELI's goal is the prototypical development, field testing and demonstration of a novel technology of the same name using honey bees and bumble bees as bioindicators. For this purpose, a networked camera system will be installed at the entrance of beehives or bumblebee colonies, which continuously films all incoming and outgoing animals. Neural networks are used to record and process the recorded activities qualitatively and quantitatively. The use of environmental data, e.g. from remote sensing, and the interpretation of the data using the simulation models BEEHAVE and Bumble- BEEHAVE allow the identification and assessment of hazards for pollinator insects and their interactions. The analysis of geo-, weather-, land-use and flight monitoring data (number and duration of collecting flights, mortality of pollinators, amount and type of collected flower pollen) shall establish causal relationships between changes in the environment of the populations (such as food shortages, in particular gaps in dress or lack of pollen diversity) and their development. The application of OCELI will be used to develop and verify pollinator-friendly agricultural practices and targeted measures against insect decline. Field studies with different environmental conditions (monocultures, small-scale producers, nature reserves, etc.) can provide insights for best practices. The project consortium combines complementary scientific and technical expertise and extensive preliminary work in the fields of artificial intelligence, networked sensor technology, ecotoxicology, entomology, geo-data processing and ecological modeling. The economic exploitation of the overall solution and individual parts is based on the original interest of the start-up apic.ai on the one hand and on the other hand on the market leadership of Eurofins as ecotoxicological contract laboratory and of Disy as eGovernment solution provider in the environmental sector.

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