Project description
Safeguarding bees and Europe’s agricultural sector
Climate change coupled with a growing population and a decline in pollinator and bee diversity are putting a tremendous strain on the agricultural sector. Using Big Data and deep learning, researchers of the EU-funded hivepoll project will work on the real-time detection of threats to beehives as well as the quantification of the pollination performance of an apiary. Using the gathered data, the project will set out to establish a novel data exchange platform between beekeepers and other stakeholders in the agriculture market. The data will also be used for crop yield prediction as well as the development of improved models for the management of crop failure risks.
Fields of science
- natural sciencescomputer and information sciencesdata sciencebig data
- natural sciencesbiological scienceszoologyentomologyapidology
- agricultural sciencesagriculture, forestry, and fisheriesagriculture
- natural sciencescomputer and information sciencesdata sciencedata exchange
- natural sciencesearth and related environmental sciencesatmospheric sciencesclimatologyclimatic changes
Programme(s)
Funding Scheme
SME-1 - SME instrument phase 1Coordinator
COGVIS SOFTWARE UND CONSULTING GMBH
Net EU contribution
€ 50 000,00
Address
Wiedner Hauptstrasse 17 3 A
1040 Wien
Austria
1040 Wien
Austria
See on map
Region
Wien Wien
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Other funding
€ 21 429,00